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Chen M, Zhao X, Zheng N, Zhang Y, Wang J. Fatty acid fingerprint enables linking forage and milk composition in assessing the geographical origin of Chinese Holstein cow milk. J Dairy Sci 2025:S0022-0302(25)00278-4. [PMID: 40306432 DOI: 10.3168/jds.2024-26156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2024] [Accepted: 03/24/2025] [Indexed: 05/02/2025]
Abstract
This study aimed to assess the effectiveness of fatty acid (FA) fingerprinting in distinguishing the geographical origin of milk and linking milk FA profiles with those of forage. A total of 66 bulk-tank milk samples and 66 corresponding forage samples were collected over 3 consecutive days from 22 dairy farms across western, eastern, and southern China. The FA compositions of the samples were analyzed using GC-MS, identifying 81 individual FA. Using orthogonal partial least squares discriminant analysis and significance analysis, we identified significant regional differences in the 35 milk FA. Recursive feature elimination was used to identify 10 potential FA biomarkers for the geographical origin of milk, including C18:2 cis-9,trans-12, C18:1 trans-6, PUFA, C18:1 cis-12, C20:3 cis-8,cis-11,cis-14, C14:0, MUFA, C13:0 iso, C16:1 cis-9, and C13:0. A support vector machine model based on these 10 biomarkers classified the milk samples by region with an accuracy >95%. Canonical and Spearman's correlation analyses indicated relationships between milk and forage FA profiles. Specifically, milk FA such as C13:0 iso, C13:0, C14:0, and C16:1 cis-9 showed significant positive correlations with most short-chain FA, odd-chain SFA, and branched-chain SFA in the forage and negative correlations with long-chain FA and FA greater than C16. Conversely, milk FA C18:2 cis-9,trans-12, C18:1 trans-6, and C18:1 cis-12 exhibited the opposite trend. The correlation between UFA in milk and forage was more complex, showing both positive and negative relationships. These findings demonstrate that FA fingerprinting is a reliable method for determining the geographical origin of milk. The observed variations in milk FA are primarily influenced by forage FA, providing valuable insights for improving milk quality through better forage management.
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Affiliation(s)
- Meiqing Chen
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, P. R. China 100193; State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, P. R. China 100193
| | - Xiaowei Zhao
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, P. R. China 100193; State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, P. R. China 100193; Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, China 230031
| | - Nan Zheng
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, P. R. China 100193; State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, P. R. China 100193
| | - Yangdong Zhang
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, P. R. China 100193; State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, P. R. China 100193.
| | - Jiaqi Wang
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, P. R. China 100193; State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, P. R. China 100193.
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McGuinness L, Timlin M, Murphy JP, Hennessy D, Fitzpatrick E, McCarthy K, O'Donovan M, O'Callaghan TF, Kilcawley KN, Dolores O'Riordan E, Brodkorb A, Sheehan JJ, Feeney EL. Impact of feeding regimes and lactation stage on sensory attributes of Cheddar cheese. Food Res Int 2024; 180:114046. [PMID: 38395564 DOI: 10.1016/j.foodres.2024.114046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/15/2024] [Accepted: 01/24/2024] [Indexed: 02/25/2024]
Abstract
This study investigated the effects of diet and stage of lactation (SOL) on sensory profiles, texture, volatile profiles, and colour of Cheddar cheese. Cheddar cheese was manufactured from early-, mid-, and late-lactation milk obtained from seasonally calved cows (n = 54). Cows were assigned a diet; group 1: perennial ryegrass (GRS), group 2: total mixed ration (TMR), and group 3: partial mixed ration (PMR). Instrumental analysis was performed at 270 days (mature Cheddar). Sensory evaluation took place after 548 days (extra mature Cheddar). Toluene was the only volatile compound that was significantly influenced by diet. The trained panel rated early-lactation cheese as stronger than mid- and late- for cowy/barny flavour and late-lactation cheese as sweeter than early- and mid-lactation cheese. Mid-lactation cheese was liked least overall. Early-lactation cheeses were rated higher for 'crumbly' texture than mid- and late. Diet affected consumer ratings, with GRS and PMR cheese rated as more intense than TMR for flavour, aftertaste, and saltiness. Consumers reported that TMR cheese was lighter in colour compared to GRS cheese, which was supported by instrumental analysis. Consumers perceived GRS as more springy and less crumbly than TMR and PMR, while Texture Profile Analysis indicated that TMR was harder than GRS. Consumer segmentation was observed with two clear preference groups, one preferring GRS and one preferring TMR. For both groups, 'taste' seemed to be the main driver of liking, highlighting that consumer preference is most impacted by individual taste preferences.
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Affiliation(s)
- Lauren McGuinness
- Food for Health Ireland (FHI), University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland; UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland.
| | - Mark Timlin
- Food for Health Ireland (FHI), University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland; UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland; Teagasc Food Research Centre, Moorepark, Fermoy, Cork P61 C996, Ireland
| | - John P Murphy
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co., Cork P61 P302, Ireland
| | - Deirdre Hennessy
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co., Cork P61 P302, Ireland; School of Biological, Earth and Environmental Sciences, University College Cork, Cork T23 N73K, Ireland
| | - Ellen Fitzpatrick
- Teagasc, Environmental Research Centre, Johnstown Castle, Wexford Y35 Y521, Ireland
| | - Kieran McCarthy
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co., Cork P61 P302, Ireland
| | - Michael O'Donovan
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co., Cork P61 P302, Ireland
| | - Tom F O'Callaghan
- Food for Health Ireland (FHI), University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland; School of Food and Nutritional Science, University College Cork T12 Y337, Ireland
| | - Kieran N Kilcawley
- Department of Food Quality and Sensory Science, Teagasc Food Research Centre, Moorepark, Fermoy, Co., Cork P61 C996, Ireland; School of Food and Nutritional Science, University College Cork T12 Y337, Ireland
| | - E Dolores O'Riordan
- Food for Health Ireland (FHI), University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland; UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland
| | - Andre Brodkorb
- Food for Health Ireland (FHI), University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland; Teagasc Food Research Centre, Moorepark, Fermoy, Cork P61 C996, Ireland
| | | | - Emma L Feeney
- Food for Health Ireland (FHI), University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland; UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland
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Dynamics of Milk Parameters of Quarter Samples before and after the Dry Period on Czech Farms. Animals (Basel) 2023; 13:ani13040712. [PMID: 36830497 PMCID: PMC9952134 DOI: 10.3390/ani13040712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 01/10/2023] [Accepted: 02/03/2023] [Indexed: 02/19/2023] Open
Abstract
This study aimed to monitor milk parameters on three different dairy farms in the Czech Republic to describe their readiness for implementing selective dry cow therapy. Fat, protein, casein, lactose, solids-not-fat content, total solids content, freezing point, titratable acidity, and somatic cell count of quarter milk samples collected from tested Holstein cows were evaluated. Associations between the tested parameters, as well as the effects of parity, farm, day of calving, and time of evaluation at dry-off and after calving, were assessed. Values of the leading milk components dynamically changed between dry-off and after calving, but only protein content was significantly affected. The most important parameter of our research, the somatic cell count of quarter milk samples, was also not affected by the time of evaluation. Even though a slight increase in the mean of somatic cell count is expected before the dry period and after calving, at dry-off, we observed 30%, 42%, and 24% of quarters with somatic cell counts above 200,000 cells per mL, while after calving, we observed 27%, 16%, and 18% of quarters with somatic cell counts above 200,000 cells per mL on Farm 1, Farm 2, and Farm 3, respectively. High somatic cell counts (>200,000 cells per mL) indicate bacterial infection, as confirmed by the significant negative correlation between this parameter and lactose content. In addition, a deficient milk fat-to-protein ratio was observed on two farms, which may indicate metabolic disorders, as well as the occurrence of intramammary infections. Despite the above, we concluded that according to the thresholds of somatic cell counts for selective dry cow therapy taken from foreign studies, a large part of the udder quarters could be dried off without the administration of antibiotics. However, it is necessary to set up more effective mechanisms for mastitis prevention.
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Hayes E, Wallace D, O'Donnell C, Greene D, Hennessy D, O'Shea N, Tobin JT, Fenelon MA. Trend analysis and prediction of seasonal changes in milk composition from a pasture-based dairy research herd. J Dairy Sci 2023; 106:2326-2337. [PMID: 36759275 DOI: 10.3168/jds.2021-21483] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 09/09/2022] [Indexed: 02/10/2023]
Abstract
The composition of seasonal pasture-produced milk is influenced by stage of lactation, animal genetics, and nutrition, which affects milk nutritional profile and processing characteristics. The objective was to study the effect of lactation stage (early, mid, and late lactation) and diet on milk composition in an Irish spring calving dairy research herd from 2012 to 2020 using principal component and predictive analytics. Crude protein, casein, fat, and solids increased from 2012 to 2020, whereas lactose concentration peaked in 2017, then decreased. Based on seasonal data from 2013 to 2016, forecasting models were successfully created to predict milk composition for 2017 to 2020. The diet of cows in this study is dependent upon grass growth rates across the milk production season, which in turn, are influenced by weather patterns, whereby extreme weather conditions (rainfall and temperature) were correlated with decreasing grass growth and increasing nonprotein nitrogen levels in milk. The study demonstrates a significant change in milk composition since 2012 and highlights the effect that seasonal changes such as weather and grass growth have on milk composition of pasture-based systems. The potential to forecast milk composition at different stages of lactation benefits processers by facilitating the optimization of in-process and supply logistics of dairy products.
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Affiliation(s)
- E Hayes
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland, P61C996; School of Biosystems and Food Engineering, University College Dublin, Ireland, D04V1W8
| | - D Wallace
- School of Computer Science, University College Dublin, Ireland, D04V1W8
| | - C O'Donnell
- School of Biosystems and Food Engineering, University College Dublin, Ireland, D04V1W8
| | - D Greene
- School of Computer Science, University College Dublin, Ireland, D04V1W8
| | - D Hennessy
- Teagasc Animal and Grassland Centre, Moorepark, Fermoy, Co. Cork, Ireland, P61C996
| | - N O'Shea
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland, P61C996
| | - J T Tobin
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland, P61C996
| | - M A Fenelon
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland, P61C996; School of Biosystems and Food Engineering, University College Dublin, Ireland, D04V1W8.
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Rodríguez-Bermúdez R, Fouz R, Rico M, Camino F, Souza TK, Miranda M, Diéguez FJ. Factors Affecting Fatty Acid Composition of Holstein Cow's Milk. Animals (Basel) 2023; 13:ani13040574. [PMID: 36830361 PMCID: PMC9951741 DOI: 10.3390/ani13040574] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/27/2023] [Accepted: 02/03/2023] [Indexed: 02/10/2023] Open
Abstract
Milk fatty acid composition has gained the interest of both manufacturers and consumers during recent years. The present paper aimed to perform an analysis of C14:0, C16:0, C18:0, C18:1, saturated (SFA), monounsaturated (MUFA), polyunsaturated (PUFA) and short chain fatty acid (SCFA) concentration in cow's milk in relation to the type of ration, parity, lactation phase and season. Cows' milk from animals being fed total mixed rations, including corn silage, had higher C14:0, C16:0 and SFA concentrations than those being fed pasture-based rations but lower concentrations of C18:0 and PUFA. Comparing to 1st parity cows, 2nd and 3rd parity animals had higher SFA and SCFA concentrations in milk. With respect to spring, C14:0, C16:0 and SFA concentrations increased in summer, autumn and winter while MUFA, PUFA and SCFA concentrations decreased. Considering the lactation phase, C14:0, C16:0 and SFA concentrations decreased in fresh cows with ketosis comparing to healthy fresh cows and increased in peak, mid and late lactation. C18:0, C18:1 and MUFA follow the opposite trend. The milk fatty acid profile varies significantly through the studied effects. The fact that the fatty acid profile is associated with animal health, organoleptic properties of milk or even methane production highlights the importance of studying factors that affect its variation.
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Affiliation(s)
- Ruth Rodríguez-Bermúdez
- Departamento de Anatomía, Produción Animal e Ciencias Clínicas Veterinarias, Universidade de Santiago de Compostela (USC), 27004 Lugo, Spain
| | - Ramiro Fouz
- Departamento de Anatomía, Produción Animal e Ciencias Clínicas Veterinarias, Universidade de Santiago de Compostela (USC), 27004 Lugo, Spain
| | - Margarita Rico
- Departamento de Anatomía, Produción Animal e Ciencias Clínicas Veterinarias, Universidade de Santiago de Compostela (USC), 27004 Lugo, Spain
| | - Fernando Camino
- IES Valle del Oja, Santo Domingo de la Calzada, 26250 La Rioja, Spain
| | - Taile Katiele Souza
- Departamento de Medicina Veterinaria, Universidade Federal Rural de Pernanbuco, Recife 52171, Brazil
| | - Marta Miranda
- Departamento de Anatomía, Produción Animal e Ciencias Clínicas Veterinarias, Universidade de Santiago de Compostela (USC), 27004 Lugo, Spain
- Correspondence: ; Tel.: +34-982-822-615
| | - Francisco Javier Diéguez
- Departamento de Anatomía, Produción Animal e Ciencias Clínicas Veterinarias, Universidade de Santiago de Compostela (USC), 27004 Lugo, Spain
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Nie P, Pan B, Ahmad MJ, Zhang X, Chen C, Yao Z, Lv H, Wei K, Yang L. Summer Buffalo Milk Produced in China: A Desirable Diet Enriched in Polyunsaturated Fatty Acids and Amino Acids. Foods 2022; 11:3475. [PMID: 36360088 PMCID: PMC9654212 DOI: 10.3390/foods11213475] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/13/2022] [Accepted: 10/28/2022] [Indexed: 11/26/2023] Open
Abstract
The objective of the study was to compare and reveal differences in basic chemical parameters, fatty acids, amino acids, and lipid quality indices of crossbred buffalo (swamp x river type) milk produced in summer and winter. The buffalo milk samples were collected in summer (Jul-Aug) and winter (Dec-Jan) from Hubei province, China. The samples were detected by using CombiFoss apparatus, gas chromatography, and an automated specialized amino acid analyzer. The results showed that the basic chemical parameters, fatty acid profiles, lipid quality indices, and amino acid profiles of crossbred buffalo milk differed between summer and winter. Specifically, summer buffalo milk exhibited a higher content of MUFA (monounsaturated fatty acids) and PUFA (polyunsaturated fatty acids) than winter buffalo milk. Summer buffalo milk had a lower content of major SFA (saturated fatty acids), a higher content of ω-3 and DFA (hypocholesterolemic fatty acids), a lower ω-6/ω-3 ratio, a higher value of 3 unsaturated fatty acid indices (C14, C16, C18), and a lower value of IA (index of atherogenicity) and IT (index of thrombogenicity) than winter buffalo milk. Additionally, 17 amino acids, including 8 EAA (essential amino acids) and 9 NEAA (non-essential amino acids) were higher in summer buffalo milk. These results indicated that summer buffalo milk was more health-beneficial than winter buffalo milk. Therefore, summer buffalo milk might be a desirable diet option for human nutrition and health. Our findings provide valuable information for the research and development of buffalo dairy products in China or other Asian countries.
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Affiliation(s)
- Pei Nie
- College of Veterinary Medicine, Hunan Agricultural University, Changsha 410128, China
| | - Bin Pan
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- International Joint Research Centre for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - Muhammd Jamil Ahmad
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- International Joint Research Centre for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - Xinxin Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- International Joint Research Centre for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - Chao Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- International Joint Research Centre for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - Zhiqiu Yao
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- International Joint Research Centre for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - Haimiao Lv
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- International Joint Research Centre for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - Ke Wei
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- International Joint Research Centre for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - Liguo Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- International Joint Research Centre for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan 430070, China
- Hubei Province’s Engineering Research Center in Buffalo Breeding and Products, Wuhan 430070, China
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McGuinness L, McCabe M, Kiernan C, McCrickerd K, Forde CG, Dolores O'Riordan E, Feeney EL. Impact of front-of-pack labels with nutrition and Grass-Fed claims on consumer perceptions and expected sensory and nutritional characteristics of Cheddar cheese – A comparative study of Irish and US consumers. Food Qual Prefer 2022. [DOI: 10.1016/j.foodqual.2022.104649] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Toghdory A, Ghoorchi T, Asadi M, Bokharaeian M, Najafi M, Ghassemi Nejad J. Effects of Environmental Temperature and Humidity on Milk Composition, Microbial Load, and Somatic Cells in Milk of Holstein Dairy Cows in the Northeast Regions of Iran. Animals (Basel) 2022; 12:ani12182484. [PMID: 36139344 PMCID: PMC9494990 DOI: 10.3390/ani12182484] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 08/31/2022] [Accepted: 09/16/2022] [Indexed: 12/18/2022] Open
Abstract
The present study aims to examine the relationships between temperature and humidity and milk composition, microbial load, and somatic cells in the milk of Holstein dairy cows. For this purpose, the temperature−humidity index, ambient temperature, and relative humidity data were obtained from the nearest weather stations. Production data were obtained from four dairy farms in Golestan province, Iran, collected from 2016 to 2021. The traits investigated were protein, fat, solids-not-fat (SNF), microbial load, and somatic cell count (SCC) in milk. The effects of the environmental temperature, humidity, month, and season on the milk composition, microbial load, and somatic cells were analyzed through analysis of variance. The effects of environmental temperature, humidity, month, and season on the milk composition, microbial load, and somatic cell composition were analyzed using a mixed procedure with a restricted maximum likelihood model. Although our findings revealed that there were significant differences in fat, protein, SNF, and SCC among the different months of the year (p < 0.01), no significant difference was observed in the total microbial count in milk. Environmental temperature presented significant impacts on fat, protein, SNF, SCC, and total microbial count within various temperature ranges (p < 0.01). When the temperature increased from 6.2 °C to 31.3 °C, the milk protein, fat, SNF, and somatic cell count significantly decreased, by approximately 4.09%, 5.75%, 1.31%, and 16.8%, respectively; meanwhile, the microbial count in milk significantly increased, by approximately 13.7%. Humidity showed an influence on fat, protein, non-fat solids, somatic cells, and total microbial count within different temperature ranges (p < 0.01). When the humidity increased from 54% to 82%, the milk protein, fat, SNF, and SCC significantly increased, by approximately 3.61%, 4.84%, 1.06%, and 10.2%, respectively; meanwhile, the microbial count in milk significantly decreased, by approximately 16.3%. The results demonstrate that there is a negative correlation between different months of the year, temperature, and the humidity of the environment, in terms of milk components and SCC. Our findings demonstrate that the optimum performance, in terms of milk composition, occurred in the first quarter of the year. As temperature increases and humidity decreases, milk quality decreases. Therefore, the adverse effects of environmental conditions on agricultural profits are not negligible, and strategies to better deal with the negative environmental effects are needed in order to improve milk quality in dairy cows.
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Affiliation(s)
- Abdolhakim Toghdory
- Department of Animal and Poultry Nutrition, Animal Science Faculty, Gorgan University of Agricultural Science and Natural Resources, Gorgan 49189-43464, Iran
| | - Taghi Ghoorchi
- Department of Animal and Poultry Nutrition, Animal Science Faculty, Gorgan University of Agricultural Science and Natural Resources, Gorgan 49189-43464, Iran
| | - Mohammad Asadi
- Department of Animal and Poultry Nutrition, Animal Science Faculty, Gorgan University of Agricultural Science and Natural Resources, Gorgan 49189-43464, Iran
| | - Mostafa Bokharaeian
- Department of Animal and Poultry Nutrition, Animal Science Faculty, Gorgan University of Agricultural Science and Natural Resources, Gorgan 49189-43464, Iran
| | - Mojtaba Najafi
- Department of Animal and Poultry Nutrition, Animal Science Faculty, Gorgan University of Agricultural Science and Natural Resources, Gorgan 49189-43464, Iran
| | - Jalil Ghassemi Nejad
- Department of Animal Science and Technology, Konkuk University, Seoul 05029, Korea
- Correspondence: ; Tel.: +82-2-450-3744
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Multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows' ration. Sci Rep 2021; 11:23201. [PMID: 34853357 PMCID: PMC8636629 DOI: 10.1038/s41598-021-02600-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 11/15/2021] [Indexed: 12/18/2022] Open
Abstract
Although there are many studies on the importance of fatty acids (FA) in our diet and on the influence of dairy diets on FA metabolism, only a few investigate their predictive capacity to discriminate the type, amount and conservation method of farm forages. This research quantifies differences in milk FA concentrations and, using a supervised factorial discriminant analysis, assesses potential biomarkers when replacing maize with other silages, grass/lucerne hays or fresh grass. The statistical modelling identified three main clusters of milk FA profiles associated with silages, hays and fresh grass as dominant roughages. The main implication of a dairy cow feeding system based on poliphytic forages from permanent meadows is enhancing milk’s nutritional quality due to an increase in beneficial omega-3 polyunsaturated FA, conjugated linoleic acids and odd chain FA, compared to feeding maize silage. The study also identified a small but powerful and reliable pool of milk FA that can act as biomarkers to authenticate feeding systems: C16:1 c-9, C17:0, C18:0, C18:3 c-9, c-12, c-15, C18:1 c-9, C18:1 t-11 and C20:0.
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The effect of feeding whole-crop barley or black oat silage in the fatty acid content of milk from cows in small-scale dairy systems in the highlands of Mexico. Trop Anim Health Prod 2021; 53:399. [PMID: 34254207 DOI: 10.1007/s11250-021-02805-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 06/04/2021] [Indexed: 10/20/2022]
Abstract
Diets have an important effect on the fatty acid (FA) content in milk from dairy cows so that feeding strategies may modify the FA profile. There is little information on the fatty acid contents of whole-crop barley (BLY) and black oat (BKO) silages and on milk from cows fed these silages that are an alternative forage for small-scale dairy systems (SSDS). Given the growing interest in foods with favourable health attributes, the objective was to identify the FA content of milk from dairy cows fed whole-crop BLY and BKO silages in small-scale systems. Three inclusion levels of BLY and BKO silage were assessed in nine lactating cows at pasture for 8 h/day and supplemented with 4.6 kg/DM/cow/day commercial concentrate. Treatments were BLY: 10 kg DM/cow/day BLY silage; BKO: 10 kg DM/cow/d BKO silage; and BLY/BKO: 5 kg BLY and 5 kg DM/cow/d BKO silages (50:50). A 3 × 3 Latin square design repeated three times with nine cows and 14-day periods was utilised. Variables evaluated were the content of fatty acids present in feeds and milk. Contents of linoleic (C18:2n-6) and linolenic (C18:3n-3) acids, as precursors of polyunsaturated fatty acids, were 46 in BLY and 50 BKO g/100 g, lower than for multispecies pasture (61 g/100 g). There were statistical differences in the content of short-chain fatty acids in milk (P < 0.05), being lower for BLY (18.9 g/100 g) compared with BKO (20.4 g/100 g) and BLY/BKO (20.6 g/100 g), the saturated fatty acids and linoleic acid (C18:2n-6c) were higher in BLY/BKO in relation to BLY and BKO. Content of health-promoting polyunsaturated fatty acids in milk was higher in BLY/BKO (P < 0.05). There were no differences (P < 0.05) in the atherogenic index, with values within reports. Small-grain cereal forages may produce milk with a favourable fatty acid content for human health.
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Saadaoui I, Rasheed R, Aguilar A, Cherif M, Al Jabri H, Sayadi S, Manning SR. Microalgal-based feed: promising alternative feedstocks for livestock and poultry production. J Anim Sci Biotechnol 2021; 12:76. [PMID: 34134776 PMCID: PMC8359609 DOI: 10.1186/s40104-021-00593-z] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 04/06/2021] [Indexed: 11/18/2022] Open
Abstract
There is an immediate need to identify alternative sources of high-nutrient feedstocks for domestic livestock production and poultry, not only to support growing food demands but also to produce microalgae-source functional foods with multiple health benefits. Various species of microalgae and cyanobacteria are used to supplement existing feedstocks. In this review, microalgae have been defined as a potential feedstock for domestic animals due to their abundance of proteins, carbohydrates, lipids, minerals, vitamins, and other high-value products. Additionally, the positive physiological effects on products of animals fed with microalgal biomass have been compiled and recommendations are listed to enhance the assimilation of biomolecules in ruminant and nonruminant animals, which possess differing digestive systems. Furthermore, the role of microalgae as prebiotics is also discussed. With regards to large scale cultivation of microalgae for use as feed, many economic trade-offs must be considered such as the selection of strains with desired nutritional properties, cultivation systems, and steps for downstream processing. These factors are highlighted with further investigations needed to reduce the overall costs of cultivation. Finally, this review outlines the pros and cons of utilizing microalgae as a supplementary feedstock for poultry and cattle, existing cultivation strategies, and the economics of large-scale microalgal production.
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Affiliation(s)
- Imen Saadaoui
- Center for Sustainable Development, College of Arts and Sciences, Qatar University, P.O.Box.2713, Doha, Qatar.
| | - Rihab Rasheed
- Center for Sustainable Development, College of Arts and Sciences, Qatar University, P.O.Box.2713, Doha, Qatar
| | - Ana Aguilar
- Department of Molecular Biosciences, UTEX Culture Collection of Algae, University of Texas at Austin, Austin, TX, 78712, USA
| | - Maroua Cherif
- Center for Sustainable Development, College of Arts and Sciences, Qatar University, P.O.Box.2713, Doha, Qatar
| | - Hareb Al Jabri
- Center for Sustainable Development, College of Arts and Sciences, Qatar University, P.O.Box.2713, Doha, Qatar
| | - Sami Sayadi
- Center for Sustainable Development, College of Arts and Sciences, Qatar University, P.O.Box.2713, Doha, Qatar
| | - Schonna R Manning
- Department of Molecular Biosciences, UTEX Culture Collection of Algae, University of Texas at Austin, Austin, TX, 78712, USA
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12
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Magan JB, O Callaghan TF, Kelly AL, McCarthy NA. Compositional and functional properties of milk and dairy products derived from cows fed pasture or concentrate-based diets. Compr Rev Food Sci Food Saf 2021; 20:2769-2800. [PMID: 33949109 DOI: 10.1111/1541-4337.12751] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 02/24/2021] [Accepted: 03/12/2021] [Indexed: 12/11/2022]
Abstract
Worldwide milk production is predominantly founded on indoor, high-concentrate feeding systems, whereas pasture-based feeding systems are most common in New Zealand and Ireland but have received greater attention recently in countries utilizing conventional systems. Consumer interest in 'pasture-fed' dairy products has also increased, arising from environmental, ethical, and nutritional concerns. A substantial body of research exists describing the effect of different feeding strategies on the composition of milk, with several recent studies focusing on the comparison of pasture- and concentrate-based feeding regimes. Significant variation is typically observed in the gross composition of milk produced from different supplemental feeds, but various changes in the discrete composition of macromolecular components in milk have also been associated with dietary influence, particularly in relation to the fatty acid profile. Changes in milk composition have also been shown to have implications for milk and dairy product processability, functionality and sensory properties. Methods to determine the traceability of dairy products or verify marketing claims such as 'pasture-fed' have also been established, based on compositional variation due to diet. This review explores the effects of feed types on milk composition and quality, along with the ultimate effect of diet-induced changes on milk and dairy product functionality, with particular emphasis placed on pasture- and concentrate-based feeding systems.
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Affiliation(s)
- Jonathan B Magan
- Food Chemistry and Technology, Teagasc Food Research Centre, Cork, Ireland.,School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Tom F O Callaghan
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Alan L Kelly
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Noel A McCarthy
- Food Chemistry and Technology, Teagasc Food Research Centre, Cork, Ireland
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13
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Timlin M, Tobin JT, Brodkorb A, Murphy EG, Dillon P, Hennessy D, O’Donovan M, Pierce KM, O’Callaghan TF. The Impact of Seasonality in Pasture-Based Production Systems on Milk Composition and Functionality. Foods 2021; 10:607. [PMID: 33809356 PMCID: PMC7998991 DOI: 10.3390/foods10030607] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/03/2021] [Accepted: 03/08/2021] [Indexed: 01/15/2023] Open
Abstract
Seasonal calving, pasture-based dairy systems are widely practiced in countries with a temperate climate and plentiful rainfall such as Ireland and New Zealand. This approach maximizes milk production from pasture and, consequently, is a low-cost, low-input dairy production system. On the other hand, the majority of global milk supply is derived from high input indoor total mixed ration systems where seasonal calving is not practiced due to the dependence on ensiled silages, grains and concentrated feeds, which are available year-round. Synchronous changes in the macro and micronutrients in milk are much more noticeable as lactation progresses through early, mid and late stages in seasonal systems compared to non-seasonal systems-which can have implications on the processability and functionality of milk.
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Affiliation(s)
- Mark Timlin
- Teagasc, Moorepark Research Centre, Fermoy, P61 C996 Co. Cork, Ireland; (M.T.); (J.T.T.); (A.B.); (E.G.M.)
- School of Agriculture and Food Science, University College Dublin, Belfield, D04 V1W8 Dublin 4, Ireland;
- Food for Health Ireland, Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Co. Cork, Ireland
| | - John T. Tobin
- Teagasc, Moorepark Research Centre, Fermoy, P61 C996 Co. Cork, Ireland; (M.T.); (J.T.T.); (A.B.); (E.G.M.)
| | - André Brodkorb
- Teagasc, Moorepark Research Centre, Fermoy, P61 C996 Co. Cork, Ireland; (M.T.); (J.T.T.); (A.B.); (E.G.M.)
- Food for Health Ireland, Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Co. Cork, Ireland
| | - Eoin G. Murphy
- Teagasc, Moorepark Research Centre, Fermoy, P61 C996 Co. Cork, Ireland; (M.T.); (J.T.T.); (A.B.); (E.G.M.)
- Food for Health Ireland, Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Co. Cork, Ireland
| | - Pat Dillon
- Teagasc, Animal and Grassland Research and Innovation Centre, Fermoy, P61 P302 Co. Cork, Ireland; (P.D.); (D.H.); (M.O.)
| | - Deirdre Hennessy
- Teagasc, Animal and Grassland Research and Innovation Centre, Fermoy, P61 P302 Co. Cork, Ireland; (P.D.); (D.H.); (M.O.)
| | - Michael O’Donovan
- Teagasc, Animal and Grassland Research and Innovation Centre, Fermoy, P61 P302 Co. Cork, Ireland; (P.D.); (D.H.); (M.O.)
| | - Karina M. Pierce
- School of Agriculture and Food Science, University College Dublin, Belfield, D04 V1W8 Dublin 4, Ireland;
- Food for Health Ireland, University College Dublin, D04 V1W8 Dublin 4, Ireland
| | - Tom F. O’Callaghan
- Teagasc, Moorepark Research Centre, Fermoy, P61 C996 Co. Cork, Ireland; (M.T.); (J.T.T.); (A.B.); (E.G.M.)
- Food for Health Ireland, Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Co. Cork, Ireland
- School of Food and Nutritional Sciences, University College Cork, T12 K8AF Cork, Ireland
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Lu H, Wang Y, Bovenhuis H. Phenotypic and genetic effects of season on milk production traits in dairy cattle in the Netherlands. J Dairy Sci 2021; 104:4486-4497. [PMID: 33612205 DOI: 10.3168/jds.2020-19615] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 11/29/2020] [Indexed: 12/13/2022]
Abstract
Milk production systems in several countries show considerable differences between seasons. For example, in the Netherlands, cows are kept inside and fed silage in winter, whereas they are on pasture in summer. The differences between seasons affect milk yield and composition and might influence the genetic background of milk production traits. The objective of this study was to estimate phenotypic and genetic effects of season on milk production traits. For this purpose, 19,286 test-day milk production records of 1,800 first-parity Dutch Holstein-Frisian cows were available, and these cows were genotyped using a 50K SNP panel. Phenotypic effects of season were significant for all milk production traits. Effects of season were large for milk fat yield, fat content, and protein content. Genetic correlations between milk production traits in different seasons showed that genotype by season interaction effects were relatively small for most milk production traits. The genetic background of protein content and lactose content seems to be sensitive to seasonal effects. Furthermore, the genetic correlations between spring and autumn differed significantly from unity for almost all milk production traits. A genome-wide association study for genotype by season interaction identified chromosomal regions on BTA3, BTA14, BTA20, and BTA25 that showed genotype by season interaction effects, including a region containing DGAT1, which showed interaction effects for fat content and protein content.
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Affiliation(s)
- Haibo Lu
- Animal Breeding and Genomics, Wageningen University and Research, 6700AH, Wageningen, the Netherlands
| | - Yachun Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA), National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, P.R. China
| | - Henk Bovenhuis
- Animal Breeding and Genomics, Wageningen University and Research, 6700AH, Wageningen, the Netherlands.
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15
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Colín-Navarro V, López-González F, Morales-Almaráz E, González-Alcántara FDJ, Estrada-Flores JG, Arriaga-Jordán CM. Fatty acid profile in milk of cows fed triticale silage in small-scale dairy systems in the highlands of central Mexico. JOURNAL OF APPLIED ANIMAL RESEARCH 2021. [DOI: 10.1080/09712119.2021.1884082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Vianey Colín-Navarro
- Insituto de Ciencias Agropecuarias y Rurales (ICAR), Universidad Autónoma del Estado de México, Toluca, México
| | - Felipe López-González
- Insituto de Ciencias Agropecuarias y Rurales (ICAR), Universidad Autónoma del Estado de México, Toluca, México
| | - Ernesto Morales-Almaráz
- Facultad de Medicina Veterinaria y Zootecnia, Universidad Autónoma del Estado de México, Toluca, México
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16
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Poppe M, Mulder HA, Kamphuis C, Veerkamp RF. Between-herd variation in resilience and relations to herd performance. J Dairy Sci 2020; 104:616-627. [PMID: 33272577 DOI: 10.3168/jds.2020-18525] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 06/08/2020] [Indexed: 11/19/2022]
Abstract
Resilient cows are minimally affected in their functioning by infections and other disturbances, and recover quickly. Herd management is expected to have an effect on disturbances and the resilience of cows, and this effect was investigated in this study. Two resilience indicators were first recorded on individual cows. The effect of herd-year on these resilience indicators was then estimated and corrected for genetic and year-season effects. The 2 resilience indicators were the variance and the lag-1 autocorrelation of daily milk yield deviations from an expected lactation curve. Low variance and autocorrelation indicate that a cow does not fluctuate much around her expected milk yield and is, thus, subject to few disturbances, or little affected by disturbances (resilient). The herd-year estimates of the resilience indicators were estimated for 9,917 herd-year classes based on records of 227,655 primiparous cows from 2,644 herds. The herd-year estimates of the resilience indicators were then related to herd performance variables. Large differences in the herd-year estimates of the 2 resilience indicators (variance and autocorrelation) were observed between herd-years, indicating an effect of management on these traits. Furthermore, herd-year classes with a high variance tended to have a high proportion of cows with a rumen acidosis indication (r = 0.31), high SCS (r = 0.19), low fat content (r = -0.18), long calving interval (r = 0.14), low survival to second lactation (r = -0.13), large herd size (r = 0.12), low lactose content (r = -0.12), and high production (r = 0.10). These correlations support that herds with high variance are not resilient. The correlation between the variance and the proportion of cows with a rumen acidosis indication suggests that feed management may have an important effect on the variance. Herd-year classes with a high autocorrelation tended to have a high proportion of cows with a ketosis indication (r = 0.14) and a high production (r = 0.13), but a low somatic cell score (r = -0.17) and a low proportion of cows with a rumen acidosis indication (r = -0.12). These correlations suggest that high autocorrelation at herd level indicates either good or poor resilience, and is thus a poor resilience indicator. However, the combination of a high variance and a high autocorrelation is expected to indicate many fluctuations with slow recovery. In conclusion, herd management, in particular feed management, seems to affect herd resilience.
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Affiliation(s)
- M Poppe
- Wageningen University & Research, Animal Breeding and Genomics, PO Box 338, 6700 AH Wageningen, the Netherlands.
| | - H A Mulder
- Wageningen University & Research, Animal Breeding and Genomics, PO Box 338, 6700 AH Wageningen, the Netherlands
| | - C Kamphuis
- Wageningen University & Research, Animal Breeding and Genomics, PO Box 338, 6700 AH Wageningen, the Netherlands
| | - R F Veerkamp
- Wageningen University & Research, Animal Breeding and Genomics, PO Box 338, 6700 AH Wageningen, the Netherlands
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17
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Dettmann F, Warner D, Buitenhuis B, Kargo M, Kjeldsen AMH, Nielsen NH, Lefebvre DM, Santschi DE. Fatty Acid Profiles from Routine Milk Recording as a Decision Tool for Body Weight Change of Dairy Cows after Calving. Animals (Basel) 2020; 10:E1958. [PMID: 33114197 PMCID: PMC7690826 DOI: 10.3390/ani10111958] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/15/2020] [Accepted: 10/20/2020] [Indexed: 01/31/2023] Open
Abstract
Cows mobilize body reserves during early lactation, which is reflected in the milk fatty acid (FA) profile. Milk FA can be routinely predicted by Fourier-transform infrared (FTIR) spectroscopy, and be, thus, used to develop an early indicator for bodyweight change (BWC) in early lactating cows in commercial dairy farms. Cow records from 165 herds in Denmark between 2015 and 2017 were used with bodyweight (BW) records at each milking from floor scales in automatic milking systems. Milk FA in monthly test-day samples was predicted by FTIR. Predictions of BWC were based on a random forest model and included parity, stage of lactation, and test day milk production and components (fat, protein, and FA). Bodyweight loss was mainly explained by decreased short-chain FA (C4:0-C10:0) and increased C18:0 FA. The root mean square error (RMSE) of prediction after cross-validation was 1.79 g/kg of BW (R2 of 0.94). Model evaluation with previously unseen BWC records resulted in reduced prediction performance (RMSE of 2.33 g/kg of BW; R2 of 0.31). An early warning system may be implemented for cows with a large BW loss during early lactation based on milk FA profiles, but model performance should be improved, ideally by using the full FTIR milk spectra.
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Affiliation(s)
- Franziska Dettmann
- Lactanet, Sainte-Anne-de-Bellevue, QC H9X3R4, Canada; (F.D.); (D.W.); (D.M.L.)
- LKV Niedersachsen e.V., 26789 Leer, Germany
| | - Daniel Warner
- Lactanet, Sainte-Anne-de-Bellevue, QC H9X3R4, Canada; (F.D.); (D.W.); (D.M.L.)
| | - Bart Buitenhuis
- Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark; (B.B.); (M.K.)
| | - Morten Kargo
- Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark; (B.B.); (M.K.)
- SEGES, 8200 Aarhus N, Denmark;
| | | | | | - Daniel M. Lefebvre
- Lactanet, Sainte-Anne-de-Bellevue, QC H9X3R4, Canada; (F.D.); (D.W.); (D.M.L.)
| | - Debora E. Santschi
- Lactanet, Sainte-Anne-de-Bellevue, QC H9X3R4, Canada; (F.D.); (D.W.); (D.M.L.)
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18
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Dhankhar J, Sharma R, Indumathi KP. A comparative study of sterols in milk fat of different Indian dairy animals based on chemometric analysis. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2020. [DOI: 10.1007/s11694-020-00500-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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19
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Parmar P, Lopez-Villalobos N, Tobin JT, Murphy E, McDonagh A, Crowley SV, Kelly AL, Shalloo L. The Effect of Compositional Changes Due to Seasonal Variation on Milk Density and the Determination of Season-Based Density Conversion Factors for Use in the Dairy Industry. Foods 2020; 9:foods9081004. [PMID: 32726926 PMCID: PMC7466286 DOI: 10.3390/foods9081004] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/16/2020] [Accepted: 07/23/2020] [Indexed: 12/16/2022] Open
Abstract
The objective of this study was to determine the effect of seasonal variation on milk composition and establish an algorithm to predict density based on milk composition to enable the calculation of season-based density conversion calculations. A total of 1035 raw whole milk samples were collected from morning and evening milking of 60 spring-calving individual cows of different genetic groups, namely Jersey, Elite HF (Holstein–Friesian) and National Average HF, once every two weeks for a period of 9 months (March–November, 2018). The average mean and standard deviation for milk compositional traits were 4.72 ± 1.30% fat, 3.85 ± 0.61% protein and 4.69 ± 0.30% lactose and density was estimated at 1.0308 ± 0.002 g/cm3. The density of the milk samples was evaluated using three methods: a portable density meter, DMA 35; a standard desktop version, DMA 4500M; and an Association of Official Agricultural Chemists (AOAC) method using 100-mL glass pycnometers. Statistical analysis using a linear mixed model showed a significant difference in density of milk samples (p < 0.05) across seasonal and compositional variations adjusted for the effects of days in milk, parity, the feeding treatment, the genetic group and the measurement technique. The mean density values and standard error of mean estimated for milk samples in each season, i.e., spring, summer and autumn were 1.0304 ± 0.00008 g/cm3, 1.0314 ± 0.00005 g/cm3 and 1.0309 ± 0.00007 g/cm3, respectively.
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Affiliation(s)
- Puneet Parmar
- Livestock Systems Department, Teagasc Food Research Centre, Moorepark, Fermoy, Cork, Ireland; (P.P.); (A.M.)
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland; (S.V.C.); (A.L.K.)
| | | | - John T. Tobin
- Food Chemistry and Technology Department, Teagasc Food Research Centre, Moorepark, Fermoy, Cork, Ireland; (J.T.T.); (E.M.)
| | - Eoin Murphy
- Food Chemistry and Technology Department, Teagasc Food Research Centre, Moorepark, Fermoy, Cork, Ireland; (J.T.T.); (E.M.)
| | - Arleen McDonagh
- Livestock Systems Department, Teagasc Food Research Centre, Moorepark, Fermoy, Cork, Ireland; (P.P.); (A.M.)
| | - Shane V. Crowley
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland; (S.V.C.); (A.L.K.)
| | - Alan L. Kelly
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland; (S.V.C.); (A.L.K.)
| | - Laurence Shalloo
- Livestock Systems Department, Teagasc Food Research Centre, Moorepark, Fermoy, Cork, Ireland; (P.P.); (A.M.)
- Correspondence:
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20
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Kumari S, Fagodiya RK, Hiloidhari M, Dahiya RP, Kumar A. Methane production and estimation from livestock husbandry: A mechanistic understanding and emerging mitigation options. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 709:136135. [PMID: 31927428 DOI: 10.1016/j.scitotenv.2019.136135] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 12/11/2019] [Accepted: 12/13/2019] [Indexed: 06/10/2023]
Abstract
Globally, livestock is an important contributor to methane (CH4) emissions. This paper reviewed the various CH4 measurement and estimation techniques and mitigation approaches for the livestock sector. Two approaches for enteric livestock CH4 emission estimation are the top-down and bottom-up. The combination of both could further improve our understanding of enteric CH4 emission and possible mitigation measures. We discuss three mitigation approaches: reducing emissions, avoiding emissions, and enhancing the removal of emissions from livestock. Dietary management, livestock management, and breeding management are viable reducing emissions pathways. Dietary manipulation is easily applicable and can bring an immediate response. Economic incentive policies can help the livestock farmers to opt for diet, breeding, and livestock management mitigation approaches. Carbon pricing creates a better option to achieve reduction targets in a given period. A combination of carbon pricing, feeding management, breeding management, and livestock management is more feasible and sustainable CH4 emissions mitigation strategy rather than a single approach.
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Affiliation(s)
- Shilpi Kumari
- Centre for Energy Studies, Indian Institute of Technology Delhi, New Delhi - 110 016, India.
| | - R K Fagodiya
- Division of Irrigation and Drainage Engineering, ICAR - Central Soil Salinity Research Institute, Karnal - 132 001, India
| | - Moonmoon Hiloidhari
- IDP in Climate Studies, Indian Institute of Technology Bombay, Mumbai - 400 076, India
| | - R P Dahiya
- Centre for Energy Studies, Indian Institute of Technology Delhi, New Delhi - 110 016, India
| | - Amit Kumar
- Department of Botany, Dayalbagh Educational Institute, Agra - 282 005, India
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21
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Liu N, Pustjens AM, Erasmus SW, Yang Y, Hettinga K, van Ruth SM. Dairy farming system markers: The correlation of forage and milk fatty acid profiles from organic, pasture and conventional systems in the Netherlands. Food Chem 2020; 314:126153. [PMID: 31986340 DOI: 10.1016/j.foodchem.2019.126153] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 12/23/2019] [Accepted: 12/31/2019] [Indexed: 12/29/2022]
Abstract
The relationships between the fatty acid (FA) composition in forage and milk (F&M) from different dairy systems were investigated. Eighty milk samples and 91 forage samples were collected from 40 farms (19 organic, 11 pasture and 10 conventional) in the Netherlands, during winter and summer. The FA profiles of F&M samples were measured with gas chromatography. The results showed that the F&M of organic farms were significantly differentiated from the F&M of other farms, both in summer and winter. The differences are likely due to the different grazing strategies in summer and different forage composition in winter. The Pearson's correlation results showed the specific relationship between individual FAs in forages and related milk. A PLS-DA model was applied to classify all milks samples, resulting in 87.5% and 83.3% correct classifications of training set and validation set.
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Affiliation(s)
- Ningjing Liu
- Wageningen Food Safety Research, Wageningen University and Research, P.O. Box 230, 6700 AE Wageningen, The Netherlands; Food Quality and Design Group, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands
| | - Annemieke M Pustjens
- Wageningen Food Safety Research, Wageningen University and Research, P.O. Box 230, 6700 AE Wageningen, The Netherlands
| | - Sara W Erasmus
- Food Quality and Design Group, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands
| | - Yuzheng Yang
- Wageningen Food Safety Research, Wageningen University and Research, P.O. Box 230, 6700 AE Wageningen, The Netherlands; Food Quality and Design Group, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands
| | - Kasper Hettinga
- Food Quality and Design Group, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands
| | - Saskia M van Ruth
- Wageningen Food Safety Research, Wageningen University and Research, P.O. Box 230, 6700 AE Wageningen, The Netherlands; Food Quality and Design Group, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands.
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22
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Hajmohammadi M, Valizadeh R, Naserian A, Nourozi ME, Rocha RS, Oliveira CAF. Composition and occurrence of aflatoxin M
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in cow's milk samples from Razavi Khorasan Province, Iran. INT J DAIRY TECHNOL 2019. [DOI: 10.1111/1471-0307.12661] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
| | - Reza Valizadeh
- Ferdowsi University of Mashhad 9177948974 Mashhad Razavi Khorasan Province Iran
| | - Abassali Naserian
- Ferdowsi University of Mashhad 9177948974 Mashhad Razavi Khorasan Province Iran
| | - Mohammad E Nourozi
- Agricultural and Natural Resources Research and Education Center 9177948978 Mashhad Razavi Khorasan Province Iran
| | - Ramon S Rocha
- Departamento de Alimentos Instituto Federal do Rio de Janeiro CEP 20.270-021 Rio de Janeiro RJ Brazil
| | - Carlos A F Oliveira
- Departamento de Engenharia de Alimentos Faculdade de Zootecnia e Engenharia de Alimentos Universidade de São Paulo Av. Duque de Caxias Norte, 225 CEP 13635‐900 Pirassununga SP Brazil
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23
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Akkerman M, Larsen L, Sørensen J, Poulsen N. Natural variations of citrate and calcium in milk and their effects on milk processing properties. J Dairy Sci 2019; 102:6830-6841. [DOI: 10.3168/jds.2018-16195] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 04/02/2019] [Indexed: 11/19/2022]
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24
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Gómez-Cortés P, Cívico A, de la Fuente MA, Núñez Sánchez N, Juárez M, Peña Blanco F, Martínez Marín AL. Quick changes of milk fatty acids after inclusion or suppression of linseed oil in the diet of goats. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2018; 98:5269-5277. [PMID: 29652436 DOI: 10.1002/jsfa.9065] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2018] [Revised: 03/27/2018] [Accepted: 04/01/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Lipid supplementation of ruminant diet is an excellent tool to improve the nutritional quality of dairy fat. The purpose of this research was to monitor in detail the goat milk fatty acid (FA) profile during the first 24 h after linseed oil (LO) supplementation or suppression in the diet. Particular emphasis was placed in the changes of FA with bioactive properties. Milk fat was analysed by gas chromatography from milkings at 0, 1, 3, 6, 12 and 24 h after diet shift. RESULTS The α-linolenic acid levels increased 12 h after LO incorporation in the diet and decreased 3 h after oil suppression. Most of the milk 10:0 to 16:0 saturated FA decreased 24 h after LO supplementation, whereas oil suppression raised their levels after 6 h. Similarly, raising of mono- and polyunsaturated trans-FA after LO inclusion was delayed in comparison with their decrease after oil suppression. CONCLUSION This study supports that ruminal bacteria and mammary glands would exhibit a fast responsiveness after the inclusion or suppression of LO in ruminant rations. Milk with an improved FA profile could be collected between 12 h after LO supplementation and the last milking before LO suppression in the diet. © 2018 Society of Chemical Industry.
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Affiliation(s)
- Pilar Gómez-Cortés
- Departamento de Bioactividad y Análisis de Alimentos, Instituto de Investigación en Ciencias de la Alimentación (CSIC-UAM), Universidad Autónoma de Madrid, Madrid, Spain
| | - Alfonso Cívico
- Departamento de Producción Animal, Universidad de Córdoba, Córdoba, Spain
| | - Miguel Angel de la Fuente
- Departamento de Bioactividad y Análisis de Alimentos, Instituto de Investigación en Ciencias de la Alimentación (CSIC-UAM), Universidad Autónoma de Madrid, Madrid, Spain
| | | | - Manuela Juárez
- Departamento de Bioactividad y Análisis de Alimentos, Instituto de Investigación en Ciencias de la Alimentación (CSIC-UAM), Universidad Autónoma de Madrid, Madrid, Spain
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25
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Concentration of Bioactive Components in the Milk of Simmental Cows Depending on the Feeding System. ANNALS OF ANIMAL SCIENCE 2018. [DOI: 10.2478/aoas-2018-0032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Abstract
The aim of the study was to determine the yield and chemical composition of milk from TMR-(group I) and pasture-fed Simmental cows (group II). The study was conducted with second and third lactation Simmental cows between 30 and 200 days of lactation. The present research showed that compared to TMR feeding, the use of summer pasture feeding and proper supplementation with high-energy feeds allow for higher milk yield and higher nutritive value of the milk. Compared to TMR-fed cows (group I), milk from pastured cows (group II) was characterized by a more beneficial composition of protein fractions, and a higher content of α-lactalbumin, β-lactoglobulin and lactoferrin. It also contained more vitamins A and E, calcium, magnesium and iodine, and had a significantly (P≤0.05) lower cholesterol content. The milk of cows from group II contained over twice as much CLA (1.59% of all acids) and 35% more n-3 PUFA, which resulted in a more beneficial n-6/n-3 fatty acids ratio of 2.88. In addition, this milk contained significantly (P≤0.05) less saturated fatty acids (SFA) and significantly more (P≤0.05) mono-(MUFA) and polyunsaturated fatty acids (PUFA). Consequently, the MUFA:SFA and PUFA:SFA ratios in this group were more favourable at 0.448 and 0.066, respectively. Also the content of desirable fatty acids (DFA) with hypocholesterolemic effects was higher in group II, which resulted in a more beneficial DFA:OFA ratio of 0.8 in this group. In conclusion, the use of summer pasture feeding and a proper supplemented feeding ration in Simmental cows with high-energy feeds allow for high milk yield and high nutritive value of the milk.
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26
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Liu Z, Auldist M, Wright M, Cocks B, Rochfort S. Bovine Milk Oligosaccharide Contents Show Remarkable Seasonal Variation and Intercow Variation. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2017; 65:1307-1313. [PMID: 28139923 DOI: 10.1021/acs.jafc.6b04098] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Human milk oligosaccharides (OS) play an important role in protecting the neonate. In addition to fructo-oligosaccharides and galacto-oligosaccharides, bovine milk OS have great potential to be used in pediatric food products to mimic the functions of human milk OS. Currently, little is known about the accumulation of OS in bovine milk in relation to genetic and environmental factors. A systematic survey on seasonal variation of 14 major OS was thus conducted with 19 cows over the entire milking season using a liquid chromatography-mass spectrometry technique. This study revealed a number of significant correlations between structurally related and structurally nonrelated OS and a substantial individual animal difference for all 14 OS. Most of the 14 OS displayed a remarkable seasonal variation in abundance (up to 10-fold change), with the highest abundance observed in April and May (i.e., autumn) for the majority of the 19 cows.
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Affiliation(s)
- Zhiqian Liu
- Biosciences Research, Agriculture Victoria, AgriBio , 5 Ring Road, Bundoora, Victoria 3083, Australia
| | - Martin Auldist
- Farming Systems Research, Agriculture Victoria , Ellinbank Centre, 1301 Hazeldean Road, Ellinbank, Victoria 3821, Australia
| | - Marlie Wright
- Farming Systems Research, Agriculture Victoria , Ellinbank Centre, 1301 Hazeldean Road, Ellinbank, Victoria 3821, Australia
| | - Benjamin Cocks
- Biosciences Research, Agriculture Victoria, AgriBio , 5 Ring Road, Bundoora, Victoria 3083, Australia
- School of Applied Systems Biology, La Trobe University , Bundoora, Victoria 3083, Australia
| | - Simone Rochfort
- Biosciences Research, Agriculture Victoria, AgriBio , 5 Ring Road, Bundoora, Victoria 3083, Australia
- School of Applied Systems Biology, La Trobe University , Bundoora, Victoria 3083, Australia
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Effect of season on fatty acid and terpene profiles of milk from Greek sheep raised under a semi-extensive production system. J DAIRY RES 2017; 83:375-82. [PMID: 27600974 DOI: 10.1017/s0022029916000327] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The objective of the study was to investigate the effect of season on the fatty acid and terpene composition in ewe milk. A total of 760 samples of bulk sheep milk were collected during winter (147 samples), spring (314 samples) and summer (299 samples) of 2011, from 90 commercial farms of dairy sheep from the prefecture of Grevena, Greece. Regarding fatty acid composition, summer samples had higher concentrations of α-linolenic acid, cis-9, trans 11- CLA, trans-11, C18 : 1 and PUFAs but lower content of saturated fatty acids particularly C12 : 0, C14 : 0 and C16 : 0. The winter milk had the lowest content of terpenes, in particular sesquiterpenes, compared to spring and summer milk. The terpene profile of milk samples, in all three seasons, revealed the presence of monoterpenes: a-pinene, b-pinene and D-limonene, especially with a higher frequency of appearance in summer. The most common and abundant sesquiterpenes found in milk samples were β-caryophyllene and α-caryophyllene with a higher frequency of appearance in summer. In conclusion, the available pastures in semi-extensive farming systems can contribute to the production of high quality milk.
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Basiricò L, Morera P, Dipasquale D, Tröscher A, Bernabucci U. Comparison between conjugated linoleic acid and essential fatty acids in preventing oxidative stress in bovine mammary epithelial cells. J Dairy Sci 2017; 100:2299-2309. [PMID: 28088424 DOI: 10.3168/jds.2016-11729] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Accepted: 11/19/2016] [Indexed: 01/01/2023]
Abstract
Some in vitro and in vivo studies have demonstrated protective effects of conjugated linoleic acid (CLA) isomers against oxidative stress and lipid peroxidation. However, only a few and conflicting studies have been conducted showing the antioxidant potential of essential fatty acids. The objectives of the study were to compare the effects of CLA to other essential fatty acids on the thiol redox status of bovine mammary epithelia cells (BME-UV1) and their protective role against oxidative damage on the mammary gland by an in vitro study. The BME-UV1 cells were treated with complete medium containing 50 μM of cis-9,trans-11 CLA, trans-10,cis-12 CLA, α-linolenic acid, γ-linolenic acid, and linoleic acid. To assess the cellular antioxidant response, glutathione, NADPH, and γ-glutamyl-cysteine ligase activity were measured 48 h after addition of fatty acids (FA). Intracellular reactive oxygen species and malondialdehyde production were also assessed in cells supplemented with FA. Reactive oxygen species production after 3 h of H2O2 exposure was assessed to evaluate and to compare the potential protection of different FA against H2O2-induced oxidative stress. All FA treatments induced an intracellular GSH increase, matched by high concentrations of NADPH and an increase of γ-glutamyl-cysteine ligase activity. Cells supplemented with FA showed a reduction in intracellular malondialdehyde levels. In particular, CLA isomers and linoleic acid supplementation showed a better antioxidant cellular response against oxidative damage induced by H2O2 compared with other FA.
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Affiliation(s)
- L Basiricò
- Dipartimento di Scienze e Agrarie e Forestali (DAFNE), Università degli Studi della Tuscia, via S. Camillo De Lellis, s.n.c, 01100 Viterbo, Italy
| | - P Morera
- Dipartimento di Scienze e Agrarie e Forestali (DAFNE), Università degli Studi della Tuscia, via S. Camillo De Lellis, s.n.c, 01100 Viterbo, Italy
| | - D Dipasquale
- Dipartimento di Scienze e Agrarie e Forestali (DAFNE), Università degli Studi della Tuscia, via S. Camillo De Lellis, s.n.c, 01100 Viterbo, Italy
| | | | - U Bernabucci
- Dipartimento di Scienze e Agrarie e Forestali (DAFNE), Università degli Studi della Tuscia, via S. Camillo De Lellis, s.n.c, 01100 Viterbo, Italy.
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29
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Effects of α-linolenic acid-enriched diets on gene expression of key inflammatory mediators in immune and milk cells obtained from Holstein dairy cows. J DAIRY RES 2016; 83:20-7. [PMID: 26869108 DOI: 10.1017/s0022029915000709] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Immune system and inflammatory responses are affected by α-linolenic acid (αLA: 18:3 ω-3). The objective of this study was to determine the effects of αLA-enriched rations on gene expression of systemic (blood) and local (mammary gland) inflammatory markers in Holstein dairy cattle. Further, the effect of dietary treatments was evaluated on the concentration of αLA in serum phospholipids. Camelina (Camelina sativa) meal (containing 24.2% αLA) was fed at 0, 3, 6, and 9% (dry matter basis) replacing canola meal (rich in 18:1 ω-9) to provide rations with incremental concentrations of αLA. Lactating primiparous Holstein cows (n = 18) were randomly assigned to a treatment sequence in a 4 × 4 Latin square design. Each period lasted 16 d and milk and blood samples were collected during the final 2 d of each period. Peripheral blood mononuclear cells (PBMC) and milk cells (MC) were harvested, and RNA extracted and converted to complementary DNA for quantitative real time PCR analysis. The effect of dietary treatments (αLA) on the relative abundance of pro- and anti-inflammatory genes in the PBMC and MC was tested by the MIXED procedure of SAS. Expression of pro-inflammatory tumour necrosis factor (TNF)-α in MC was linearly reduced (up to 40%) as dietary αLA increased. Expression of pro-inflammatory markers interleukin (IL)-1β, IL-8, and TNF-α was reduced (29, 20, and 27%, respectively) in PBMC isolated from cows fed 6% camelina meal ration as compared with cows fed 0% (control). Expression of IL-6 was, however, increased with inclusion of camelina meal. Greater dietary αLA linearly increased serum phospholipids αLA contents, and when fed up to 6% DM down-regulated expression of some of the local (milk) and systemic (blood) pro-inflammatory markers in vivo.
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Dall-Orsoletta AC, Almeida JGR, Carvalho PC, Savian JV, Ribeiro-Filho HM. Ryegrass pasture combined with partial total mixed ration reduces enteric methane emissions and maintains the performance of dairy cows during mid to late lactation. J Dairy Sci 2016; 99:4374-4383. [DOI: 10.3168/jds.2015-10396] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Accepted: 02/09/2016] [Indexed: 11/19/2022]
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Chung IM, Kim JK, Park I, Oh JY, Kim SH. Effects of milk type, production month, and brand on fatty acid composition: A case study in Korea. Food Chem 2016; 196:138-47. [DOI: 10.1016/j.foodchem.2015.09.024] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Revised: 08/03/2015] [Accepted: 09/07/2015] [Indexed: 11/30/2022]
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32
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Rego OA, Cabrita ARJ, Rosa HJD, Alves SP, Duarte V, Fonseca AJM, Vouzela CFM, Pires FR, Bessa RJB. Changes in milk production and milk fatty acid composition of cows switched from pasture to a total mixed ration diet and back to pasture. ITALIAN JOURNAL OF ANIMAL SCIENCE 2016. [DOI: 10.1080/1828051x.2016.1141330] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Khiaosa-ard R, Kreuzer M, Leiber F. Apparent recovery of C18 polyunsaturated fatty acids from feed in cow milk: A meta-analysis of the importance of dietary fatty acids and feeding regimens in diets without fat supplementation. J Dairy Sci 2015; 98:6399-414. [DOI: 10.3168/jds.2015-9459] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2015] [Accepted: 05/06/2015] [Indexed: 11/19/2022]
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Elgersma A. Grazing increases the unsaturated fatty acid concentration of milk from grass-fed cows: A review of the contributing factors, challenges and future perspectives. EUR J LIPID SCI TECH 2015. [DOI: 10.1002/ejlt.201400469] [Citation(s) in RCA: 94] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Effect of dietary extruded linseed, verbascoside and vitamin E supplements on yield and quality of milk in Lacaune ewes. J DAIRY RES 2015; 81:485-93. [PMID: 25353312 DOI: 10.1017/s0022029914000387] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Milk yield and milk qualitative parameters were evaluated in Lacaune ewes on a diet supplemented with extruded linseed, verbascoside and vitamin E. A 98 d-trial was conducted on 44 ewes and started 40±2 d post partum. The animals were divided into four homogeneous groups of eleven animals each; one control group (CON) without extruded linseed and dietary supplements, and the diet of the other three experimental groups was enhanced with extruded linseed (L group), extruded linseed-verbascoside (LVB group), and extruded linseed-verbascoside-vitamin E (LVBE group). All animals individually received an isoenergetic diet, consisting of 700 g concentrated feed and meadow hay ad libitum. Body weight, body condition score, milk yield and milk qualitative parameters were assessed. LVB and LVBE groups resulted in a significant improvement (P<0·05) in milk yield due to the verbascoside supplementation. The extruded linseed supplementation L, LVB and LVBE groups produced a milk fat increase and a better milk fatty acid profile in terms of a higher monounsaturated fatty acid (MUFA), polyunsaturated fatty acid (PUFA) and conjugated linoleic acid (CLA) content and a reduced saturated fatty acid (SFA) content, a lower n-6/n-3 ratio and atherogenic and thrombogenic index. The dietary verbascoside supplementation in the LVB and LVBE group resulted in a better milk quality due to the low cholesterol level and higher vitamin A and E contents, in addition to an increased oxidative stability highlighted by the lower thiobarbituric acid reactive substances (TBARS) level. Thus, the addition of extruded linseed and verbascoside supplements improved milk yield and quality both from a chemical and nutritive point of view.
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36
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Fatty acid and triglycerides profiling of retail organic, conventional and pasture milk: Implications for health and authenticity. Int Dairy J 2015. [DOI: 10.1016/j.idairyj.2014.11.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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Schwendel BH, Wester TJ, Morel PCH, Tavendale MH, Deadman C, Shadbolt NM, Otter DE. Invited review: organic and conventionally produced milk-an evaluation of factors influencing milk composition. J Dairy Sci 2014; 98:721-46. [PMID: 25497795 DOI: 10.3168/jds.2014-8389] [Citation(s) in RCA: 92] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Accepted: 10/29/2014] [Indexed: 11/19/2022]
Abstract
Consumer perception of organic cow milk is associated with the assumption that organic milk differs from conventionally produced milk. The value associated with this difference justifies the premium retail price for organic milk. It includes the perceptions that organic dairy farming is kinder to the environment, animals, and people; that organic milk products are produced without the use of antibiotics, added hormones, synthetic chemicals, and genetic modification; and that they may have potential benefits for human health. Controlled studies investigating whether differences exist between organic and conventionally produced milk have so far been largely equivocal due principally to the complexity of the research question and the number of factors that can influence milk composition. A main complication is that farming practices and their effects differ depending on country, region, year, and season between and within organic and conventional systems. Factors influencing milk composition (e.g., diet, breed, and stage of lactation) have been studied individually, whereas interactions between multiple factors have been largely ignored. Studies that fail to consider that factors other than the farming system (organic vs. conventional) could have caused or contributed to the reported differences in milk composition make it impossible to determine whether a system-related difference exists between organic and conventional milk. Milk fatty acid composition has been a central research area when comparing organic and conventional milk largely because the milk fatty acid profile responds rapidly and is very sensitive to changes in diet. Consequently, the effect of farming practices (high input vs. low input) rather than farming system (organic vs. conventional) determines milk fatty acid profile, and similar results are seen between low-input organic and low-input conventional milks. This confounds our ability to develop an analytical method to distinguish organic from conventionally produced milk and provide product verification. Lack of research on interactions between several influential factors and differences in trial complexity and consistency between studies (e.g., sampling period, sample size, reporting of experimental conditions) complicate data interpretation and prevent us from making unequivocal conclusions. The first part of this review provides a detailed summary of individual factors known to influence milk composition. The second part presents an overview of studies that have compared organic and conventional milk and discusses their findings within the framework of the various factors presented in part one.
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Affiliation(s)
- B H Schwendel
- Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Tennent Drive, Palmerston North 4474, New Zealand.
| | - T J Wester
- Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Tennent Drive, Palmerston North 4474, New Zealand
| | - P C H Morel
- Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Tennent Drive, Palmerston North 4474, New Zealand
| | - M H Tavendale
- Animal Nutrition and Health, AgResearch Grasslands Research Centre, Tennent Drive, Palmerston North 4442, New Zealand
| | - C Deadman
- Fonterra Research Centre Palmerston North, Dairy Farm Road, Palmerston North 4442, New Zealand
| | - N M Shadbolt
- Institute of Agriculture and Environment, Massey University, Tennent Drive, Palmerston North 4474, New Zealand
| | - D E Otter
- Food and Bio-based Products, AgResearch Grasslands Research Centre, Tennent Drive, Palmerston North 4442, New Zealand
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38
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Verification of fresh grass feeding, pasture grazing and organic farming by cows farm milk fatty acid profile. Food Chem 2014; 164:234-41. [DOI: 10.1016/j.foodchem.2014.05.011] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2013] [Revised: 03/21/2014] [Accepted: 05/06/2014] [Indexed: 11/18/2022]
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39
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Yang L, Yang Q, Yi M, Pang ZH, Xiong BH. Effects of seasonal change and parity on raw milk composition and related indices in Chinese Holstein cows in northern China. J Dairy Sci 2013; 96:6863-6869. [PMID: 24054296 DOI: 10.3168/jds.2013-6846] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2013] [Accepted: 08/07/2013] [Indexed: 11/19/2022]
Abstract
This study was to investigate the effects of seasonal change and parity on milk composition and related indices, and to analyze the relationships among milk indices in Chinese Holstein cows from an intensive dairy farm in northern China. The 6,520 sets of complete Dairy Herd Improvement data were obtained and grouped by natural month and parity. The data included daily milk yield (DMY), milk solids percentage (MSP), milk fat percentage (MFP), milk protein percentage (MPP), milk lactose percentage (MLP), somatic cell count (SCC), somatic cell score (SCS), milk production loss (MPL), and fat-to-protein ratio (FPR). Data analysis showed that the above 9 indices were affected by both seasonal change and parity. However, the interaction between parity and seasonal change showed effects on MLP, SCS, MPL, and DMY, but no effects on MFP, MPP, MSP, and FPR. Duncan's multiple comparison on seasonal change showed that DMY (23.58 kg/d), MSP (12.35%), MPP (3.02%), and MFP (3.81%) were the lowest in June, but SCC (288.7 × 10(3)/mL) and MPL (0.69 kg/d) were the lowest in January; FPR (1.32) was the highest in February. Meanwhile, Duncan's multiple comparison on parities showed that MSP, MPP, and MLP were reduced rapidly in the fourth lactation, but SCC and MPL increased with increasing parities. The canonical correlation analysis for indices showed that SCS had high positive correlation with MPL (0.8360). Therefore, a few models were developed to quantify the effects of seasonal change and parity on raw milk composition using the Wood model. The changing patterns of milk composition and related indices in different months and parities could provide scientific evidence for improving feeding management and nutritional supplementation of Chinese Holstein cows.
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Affiliation(s)
- L Yang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 Yuanmingyuan West Road, Haidian District, Beijing 100193, P. R. China
| | - Q Yang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 Yuanmingyuan West Road, Haidian District, Beijing 100193, P. R. China
| | - M Yi
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 Yuanmingyuan West Road, Haidian District, Beijing 100193, P. R. China
| | - Z H Pang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 Yuanmingyuan West Road, Haidian District, Beijing 100193, P. R. China
| | - B H Xiong
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 Yuanmingyuan West Road, Haidian District, Beijing 100193, P. R. China.
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Adler SA, Jensen SK, Govasmark E, Steinshamn H. Effect of short-term versus long-term grassland management and seasonal variation in organic and conventional dairy farming on the composition of bulk tank milk. J Dairy Sci 2013; 96:5793-810. [PMID: 23831088 DOI: 10.3168/jds.2012-5765] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2012] [Accepted: 05/12/2013] [Indexed: 11/19/2022]
Abstract
Bulk tank milk from 28 dairy farms was sampled every second month for 2 yr to assess the effects of grassland management, production system and season on milk fatty acid (FA) composition, concentrations of fat-soluble vitamins, Se, and milk sensory quality. Grassland management varied in terms of time since establishment. Short-term grassland management (SG) was defined as establishment or reseeding every fourth year or more often, and long-term grassland management (LG) was defined as less frequent establishment or reseeding. Fourteen organic (ORG) dairy farms with either short-term or long-term grassland management were paired with 14 conventional (CON) farms with respect to grassland management. Within ORG farms, SG farms differed from LG farms in herbage botanical composition, but not in concentrate FA concentrations, dry matter intake, or milk yield. Within CON farms, herbage composition, concentrate FA concentrations, dry matter intake, and milk yield showed no or insignificant variations. The ORG farms differed from CON farms in herbage botanical composition, concentrate FA concentrations, concentrate intake, and milk yield. Compared with ORG-LG farms, ORG-SG farms produced milk fat with higher proportions of C10:0 and C12:0 associated with higher herbage proportions of legumes (Fabaceae) and lower proportions of other dicotyledon families. Compared with milk from CON farms, milk fat from ORG farms had higher proportions of most saturated FA and all n-3 FA, but lower proportions of C18:0 and C18:1 cis-9 associated with higher forage proportion and differences in concentrations of FA in concentrates. Compared with the outdoor-feeding periods, the indoor feeding periods yielded milk fat with higher proportions of most short-chain and medium-chain FA and lower proportions of most C18-FA associated with grazing and higher forage proportions. Milk concentrations of α-tocopherol and β-carotene were lower during the grazing periods. Inclusion of fishmeal in organic concentrates may explain higher Se concentrations in organically produced milk. Milk sensory quality was not affected in this study. In conclusion, grassland management had minor effects on milk composition, and differences between ORG farms and CON farms may be explained by differences in concentrate intake and concentrate FA concentrations. Milk produced on ORG farms versus CON farms and milk produced during the outdoor versus indoor feeding periods had potential health benefits due to FA composition. In contrast, the higher milk-fat proportions of saturated FA in milk from ORG farms may be perceived as negative for human health.
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Affiliation(s)
- S A Adler
- Bioforsk-Norwegian Institute for Agricultural and Environmental Research, Organic Food and Farming Division, Tingvoll, Norway.
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Adler S, Dahl A, Jensen S, Thuen E, Gustavsson AM, Steinshamn H. Fatty acid composition, fat-soluble vitamin concentrations and oxidative stability in bovine milk produced on two pastures with different botanical composition. Livest Sci 2013. [DOI: 10.1016/j.livsci.2013.03.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Kuczyńska B, Puppel K, Gołebiewski M, Metera E, Sakowski T, Słoniewski K. Differences in whey protein content between cow's milk collected in late pasture and early indoor feeding season from conventional and organic farms in Poland. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2012; 92:2899-2904. [PMID: 22549884 DOI: 10.1002/jsfa.5663] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2011] [Revised: 12/02/2011] [Accepted: 02/20/2012] [Indexed: 05/31/2023]
Abstract
BACKGROUND The aim of the study was to investigate bioactive whey protein concentrations in cow's milk collected in late pasture (LP) and early indoor feeding (EIF) season from conventional and organic farms in Poland. RESULTS Results showed that in the LP somatic cell count (SCC) was higher under organic farming conditions. However, percentages of protein and fat were higher under conventional farming conditions. In EIF, milk from conventional dairy farms had a higher percentage of fat and lactose and a lower concentration of protein and SCC in comparison to milk from organic farms. Organic milk in LP had higher concentrations of beneficial whey proteins than conventional milk, including β-lactoglobulin (β-Lg, 4.12 vs. 2.68 g L⁻¹), lactoferrin (Lf, 334.99 vs. 188.02 mg L⁻¹), and lysozyme (Lz, 15.68 vs. 12.56 µg L⁻¹). However, conventional milk in EIF had higher concentrations of bovine serum albumin (146.47 vs. 118.65 mg L⁻¹), Lf (49 vs. 185.27 mg L⁻¹), and Lz (16.63 vs. 13.22 µg L⁻¹). CONCLUSIONS The results show significant differences in the investigated parameters between organic milk and milk from conventional system during EIF and LP. Moreover, extending the pasture season during EIF in organic farms decreases concentration of bioactive compounds of milk.
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Affiliation(s)
- Beata Kuczyńska
- Cattle Breeding Department, Faculty of Animal Science, Warsaw University of Life Sciences, Warsaw, Poland.
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Glover KE, Budge S, Rose M, Rupasinghe HPV, Maclaren L, Green-Johnson J, Fredeen AH. Effect of feeding fresh forage and marine algae on the fatty acid composition and oxidation of milk and butter. J Dairy Sci 2012; 95:2797-809. [PMID: 22612917 DOI: 10.3168/jds.2011-4736] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2011] [Accepted: 11/06/2011] [Indexed: 11/19/2022]
Abstract
This study evaluated the effects of feeding fresh forage either as pasture plus a concentrate (PAS) or as a silage-based total mixed ration (TMR), combined with either a ruminally inert lipid supplement high in saturated fatty acids (-) or a ruminally protected microalgae containing 22 g of docosahexaenoic acid (DHA)/100 g of fatty acids (+) on the fatty acid (FA) composition and oxidation of milk and butter. For the 8 mid-lactation Holstein cows in this study, milk yield was not significantly affected by treatment, averaging 32.3 ± 1.28 kg/d. Milk fat content was higher for PAS⁻, averaging 5.05 compared with 4.10 ± 0.17% for the mean of other treatments, and was significantly depressed with microalgae supplementation (3.97 vs. 4.69 ± 0.17%). The saturated fatty acid level in the milk of cows fed TMR⁻ was significantly higher than that of the other treatments (66.9 vs. 61.2 g/100 g of FA). The level of monounsaturated FA was lowered by feeding TMR⁻ (27.4 vs. 32.0 g/100 g of FA), whereas levels of polyunsaturated FA were elevated by feeding PAS+ compared with the mean of the other treatments (6.54 vs. 5.07 g/100 g of FA). Feeding the rumen-protected microalgae increased the DHA content of milk more than 4-fold (0.06 to 0.26 g/100g of FA) with the PAS treatment. The conjugated linoleic acid content of milk was highest for PAS+ compared with the other treatments (4.18 vs. 3.41 g/100g of FA). In general, the fatty acid composition of butter followed that of milk. Overall, feeding the TMR supplemented with the rumen-protected microalgae increased the levels of volatile products of oxidation in milk and butter. No effect of forage type or microalgae supplementation was observed on the oxidative stability or antioxidant capacity of milk, although the oxidative stability of butter exposed to UV was reduced with microalgae supplementation, particularly with TMR, as assessed by using the ferric reducing ability of plasma assay.
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Affiliation(s)
- K E Glover
- Department of Plant and Animal Sciences, Nova Scotia Agricultural College, Truro, Nova Scotia B2N 5E3, Canada
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Ilves A, Harzia H, Ling K, Ots M, Soomets U, Kilk K. Alterations in milk and blood metabolomes during the first months of lactation in dairy cows. J Dairy Sci 2012; 95:5788-97. [PMID: 22884339 DOI: 10.3168/jds.2012-5617] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2012] [Accepted: 06/12/2012] [Indexed: 12/25/2022]
Abstract
The molecular composition of milk is influenced by various genetic and environmental factors. Time is one important factor, and the fact that certain milk components change over the course of lactation is widely accepted. Untargeted global metabolomics is an approach to study hundreds of low molecular weight compounds simultaneously. In this study, mass spectrometry-based global metabolomics was used to follow the course of changes in milk (n=133) and blood plasma (n=133) during the early stage of lactation. Little correlation was found between the molecular composition of blood plasma and milk. Blood showed a higher dependence on animal individuality than did milk, in which common evolutions in time resolved. Citrate and lactose had the greatest effect on these changes; however, the most significant changes in milk during the first months of lactation were associated with phosphorylated saccharide levels, whereas the most significant changes in blood plasma were associated with levels of polyunsaturated fatty acids containing phosphatidylcholine. In conclusion, a new systemic approach was used to search for minor metabolites whose concentrations were significantly altered in milk and blood during the first months of lactation.
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Affiliation(s)
- A Ilves
- Department of Nutrition and Animal Products Quality, Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, 46 Kreutzwaldi St., 51006 Tartu, Estonia.
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Khan N, Cone J, Fievez V, Hendriks W. Causes of variation in fatty acid content and composition in grass and maize silages. Anim Feed Sci Technol 2012. [DOI: 10.1016/j.anifeedsci.2012.02.006] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Coppa M, Gorlier A, Lonati M, Martin B, Russo EM, Lombardi G. The management of the transition from hay- to pasture-based diets affects milk fatty acid kinetics. ACTA ACUST UNITED AC 2012. [DOI: 10.1007/s13594-012-0065-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Povolo M, Pelizzola V, Lombardi G, Tava A, Contarini G. Hydrocarbon and fatty acid composition of cheese as affected by the pasture vegetation type. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2012; 60:299-308. [PMID: 22148888 DOI: 10.1021/jf203802y] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
The determination of the geographical origin of dairy products is an ongoing issue. In this paper the effects of botanical diversity of two pastures on the hydrocarbon and fatty acid composition of cheese fat were studied, over 2 years of experimentation. Two areas in the Italian southwestern Alpine region, dominated by Trifolium alpinum (T) and Festuca nigrescens (F) vegetation, respectively, were chosen, and milk obtained from cows grazing on these pastures was used to produce a semihard traditional cheese. Cheese samples showed a significantly different composition of most linear hydrocarbons, odd-chain (C15, C17, and C17:1) and unsaturated (trans-11,cis-15-C18:2, C18:3, C20:4n-6, C20:4n-3, and 20:5n-3) fatty acids, according to pasture type. The ratio between C(29) and C(27) linear hydrocarbons, unlike the absolute content of the single molecules, showed a good discriminating ability between the two pastures and was little affected by the natural variability due to the climatic and environmental factors.
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Affiliation(s)
- Milena Povolo
- CRA - Centro di Ricerca per le Produzioni Foraggere e Lattiero-Casearie, Via A. Lombardo 11, 26900 Lodi, Italy.
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Butler G, Stergiadis S, Seal C, Eyre M, Leifert C. Fat composition of organic and conventional retail milk in northeast England. J Dairy Sci 2011; 94:24-36. [PMID: 21183013 DOI: 10.3168/jds.2010-3331] [Citation(s) in RCA: 90] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2010] [Accepted: 09/11/2010] [Indexed: 11/19/2022]
Abstract
This study of UK retail milk identified highly significant variations in fat composition. The survey, conducted over 2 yr replicating summer and winter, sampled 22 brands, 10 of which indicated organic production systems. Results corroborate earlier farm-based findings considering fat composition of milk produced under conventional and organic management. Organic milk had higher concentrations of beneficial fatty acids (FA) than conventional milk, including total polyunsaturated fatty acids (PUFA; 39.4 vs. 31.8 g/kg of total FA), conjugated linoleic acid cis-9,trans-11 (CLA9; 7.4 v 5.6 g/kg of FA), and α-linolenic acid (α-LN; 6.9 vs. 4.4 g/kg of FA). As expected, purchase season had a strong effect on fat composition: compared with milk purchased in winter, summer milk had a lower concentration of saturated fatty acids (682 vs. 725 g/kg of FA) and higher concentrations of PUFA (37.6 vs. 32.8 g/kg of FA), CLA9 (8.1 vs. 4.7 g/kg of FA), and α-LN (6.5 vs. 4.6 g/kg of FA). Differences identified between sampling years were more surprising: compared with that in yr 2, milk purchased in year 1 had higher concentrations of PUFA (37.5 vs. 32.9 g/kg of FA), α-LN (6.0 vs. 5.1 g/kg of FA), and linoleic acid (19.9 vs. 17.5 g/kg of FA) and lower concentrations of C16:0 and C14:0 (332 vs. 357 and 110 vs. 118 g/kg of FA, respectively). Strong interactions were identified between management and season as well as between season and year of the study. As in the earlier farm studies, differences in fat composition between systems were greater for summer compared with winter milk. Large between-year differences may be due to changes in weather influencing milk composition through forage availability, quality, and intake. If climate change predictions materialize, both forage and dairy management may have to adapt to maintain current milk quality. Considerable variation existed in milk fat composition between brands.
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Affiliation(s)
- G Butler
- Nafferton Ecological Farming Group, School of Agriculture, Food and Rural Development, Newcastle University, Nafferton Farm, Stocksfield, Northumberland, NE43 7XD, United Kingdom.
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Gaspardo B, Lavrenčič A, Levart A, Del Zotto S, Stefanon B. Use of milk fatty acids composition to discriminate area of origin of bulk milk. J Dairy Sci 2010; 93:3417-26. [DOI: 10.3168/jds.2009-2788] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2009] [Accepted: 04/19/2010] [Indexed: 11/19/2022]
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Improving the fatty acid profile of dairy cow milk by combining grazing with feeding of total mixed ration. J DAIRY RES 2010; 77:225-30. [DOI: 10.1017/s002202991000004x] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Grazing cows could produce milk with a higher proportion of polyunsaturated fatty acids, which is beneficial to human health, compared with non-grazing cows, though grazing alone could compromise milk production. Under oceanic climate conditions, a study involving 15 dairy cows, fed total mixed ration (TMR) ad libitum in combination with different grazing times of 12 h (TMR12), 6 h (TMR06) and zero grazing time (TMR00) with the aim to evaluate different strategies on the fatty acids profile of milk and milk production. No differences were seen between the treatments with respect to milk yield (34·4±6·3 kg/d) or milk protein content (30·4±1·8 g/kg). The milk produced by the TMR12 cows had less total fat (36·2 vs. 38·2 g/kg) and saturated fatty acid (FA, 69·39 vs. 71·44 g/100 g FA) than that produced by the TMR00 cows. The concentration of vaccenic acid in the TMR06 and TMR12 milk was twice that of the TMR00 milk (4·22, 4·09 and 2·26 g/100 g FA respectively). Linear increases in conjugated linoleic (CLA) and linolenic acids were observed with increasing grazing time. Pasture was an important source of FA especially C18:3 for TMR06 and TMR12 cows. Under oceanic climatic conditions, the grazing of dairy cows as a complement to feeding with TMR can improve the FA profile of milk and increase its CLA content.
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