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Schwanke AJ, Neave HW, Penner GB, Bergeron R, DeVries TJ. Flexible feeding: Dairy cow personality affects changes in feeding behavior and milk production under feed competition conditions. J Dairy Sci 2024; 107:2465-2482. [PMID: 37949406 DOI: 10.3168/jds.2023-24063] [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: 08/08/2023] [Accepted: 10/22/2023] [Indexed: 11/12/2023]
Abstract
The objective of this study was to determine the effect of individual cow personality traits on feeding behavior and production under low levels of feeding competition, and to determine whether personality traits influence how feeding behavior changes in response to greater feeding competition. Forty-two Holstein cows were assigned to 1 automated feed bin per cow (low competition condition) from 15 to 28 d in milk (DIM; period 1, P1), and 2 feed bins per 3 cows (higher competition condition) from 63 to 76 DIM (period 2, P2). A total mixed ration (TMR) was fed into the automated feed bins which recorded each feed bin visit time, duration, and intake. Cow personality traits were assessed at 21 DIM during P1 and at 70 DIM during P2 using a combined arena test, measuring behavioral responses to a novel environment, novel object, and novel human. Principal components analysis of behaviors observed during the P1 combined arena test revealed 1 factor (interpreted as active-explorative) from the novel environment test explaining 51% of the variance, and 3 factors (interpreted as fearfulness, active-explorative, and sociability toward conspecifics) from each of the novel object (76% cumulative variance) and human (75% cumulative variance) tests. The principal components analysis of behaviors observed during the P2 combined arena test revealed 2 factors jointly from the environment, object, and human tests (interpreted as fearfulness and active-explorative) that together explained 68% of the variance. Fearfulness and active-explorative trait scores were correlated across P1 and P2, indicating stability of personality over a challenging period and advancing DIM. In P2 when competition for feed was increased at greater stage of lactation, the more active-explorative cows appeared to make few alterations to their feeding behavior, yet still maintained their milk yield, compared with lower competition in P1. In contrast, cows who were more fearful increased their feed bin visits from P1 to P2, and less fearful cows increased their eating rate, without increased milk production, despite advanced lactation. Overall, the results indicate that cows of different personalities adopt different feeding strategies in response to a change in their environment, and may benefit from tailored management during challenging periods.
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Affiliation(s)
- A J Schwanke
- Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - H W Neave
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - G B Penner
- Department of Animal and Poultry Science, University of Saskatchewan, Saskatoon, SK, S7N 5A8, Canada
| | - R Bergeron
- Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - T J DeVries
- Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada.
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Burkhardt FK, Hayer JJ, Heinemann C, Steinhoff-Wagner J. Effect of Climatic Condition, Type of Trough and Water Cleanliness on Drinking Behavior in Dairy Cows. Animals (Basel) 2024; 14:257. [PMID: 38254426 PMCID: PMC10812700 DOI: 10.3390/ani14020257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 01/10/2024] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
Increasing ambient temperatures lead to higher water intake and higher risks of microbial growth in cattle troughs. This study aims to analyze drinking water quality and dairy cows' drinking behavior (n = 8081 drinking episodes) on a commercial farm with 135 and 144 lactating cows in two climatic conditions, considering trough type and cleanliness, respectively. Daily video recording was conducted at two trough types (two open troughs, 70 L; two-valve troughs, variable volume of 5-15 L) in the first two hours after feeding (n = 60 days in total) under cold (December 2019-February 2020) and warm ambient temperatures (September 2021). The trough cleaning scheme allowed cows to access either cleaned or uncleaned troughs in each system. Water quality was tested daily and analyzed at the beginning and end of the trials. In warmer ambient temperatures, fewer and-at uncleaned troughs and open troughs-shorter drinking episodes were recorded, with longer but fewer water intake periods, longer drinking breaks, and fewer sips (p < 0.0001). Considering the drinking episodes, respectively, water intake and drinking breaks in number and duration, the number of sips and the number of agonistic behaviors might optimize dairy cow water supply and hygiene management.
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Affiliation(s)
- Franziska Katharina Burkhardt
- TUM School of Life Sciences, Technical University of Munich, 85354 Freising-Weihenstephan, Germany;
- Institute of Animal Science, University of Bonn, 53115 Bonn, Germany; (J.J.H.); (C.H.)
| | - Jason Jeremia Hayer
- Institute of Animal Science, University of Bonn, 53115 Bonn, Germany; (J.J.H.); (C.H.)
- Educational and Research Centre for Animal Husbandry Hofgut Neumuehle, 67728 Münchweiler an der Alsenz, Germany
| | - Céline Heinemann
- Institute of Animal Science, University of Bonn, 53115 Bonn, Germany; (J.J.H.); (C.H.)
| | - Julia Steinhoff-Wagner
- TUM School of Life Sciences, Technical University of Munich, 85354 Freising-Weihenstephan, Germany;
- HEF World Agricultural Systems Center, Technical University of Munich, 85354 Freising-Weihenstephan, Germany
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3
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Drinking behavior of dairy cows under commercial farm conditions differs depending on water trough design and cleanliness. Appl Anim Behav Sci 2022. [DOI: 10.1016/j.applanim.2022.105752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Kremer L, Bus JD, Webb LE, Bokkers EAM, Engel B, van der Werf JTN, Schnabel SK, van Reenen CG. Housing and personality effects on judgement and attention biases in dairy cows. Sci Rep 2021; 11:22984. [PMID: 34836990 PMCID: PMC8626508 DOI: 10.1038/s41598-021-01843-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 11/01/2021] [Indexed: 11/18/2022] Open
Abstract
Affective states can be inferred from responses to ambiguous and threatening stimuli, using Judgement Bias Tasks (JBTs) and Attention Bias Tasks (ABTs). We investigated the separate and interactive effects of personality and housing conditions on dairy cattle affective states. We assessed personality in 48 heifers using Open-Field, Novel-Object and Runway tests. Personality effects on responses to the JBT and to the ABT were examined when heifers were housed under reference conditions. Heifers were subsequently housed under positive or negative conditions, and housing effects on animal responses in both tasks were investigated while controlling for personality. A Principal Component Analysis revealed three personality traits labelled Activity, Fearfulness and Sociability. Under reference conditions, personality influenced heifers' responses to the JBT and to the ABT, therefore questioning the tasks' generalizability across individuals. Against expectations, housing did not influence responses to the JBT and heifers in the negative conditions looked at the threat later than heifers in the positive or reference conditions. More research is warranted to confirm the validity and the repeatability of the JBT and of the ABT as appropriate measures of affective states in dairy cows.
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Affiliation(s)
- Louise Kremer
- Animal Production Systems Group, Wageningen University & Research, PO Box 338, 6700 AH, Wageningen, The Netherlands. .,Livestock Research, Wageningen University & Research, PO Box 338, 6700 AH, Wageningen, The Netherlands.
| | - Jacinta D. Bus
- grid.4818.50000 0001 0791 5666Animal Production Systems Group, Wageningen University & Research, PO Box 338, 6700 AH Wageningen, The Netherlands
| | - Laura E. Webb
- grid.4818.50000 0001 0791 5666Animal Production Systems Group, Wageningen University & Research, PO Box 338, 6700 AH Wageningen, The Netherlands
| | - Eddie A. M. Bokkers
- grid.4818.50000 0001 0791 5666Animal Production Systems Group, Wageningen University & Research, PO Box 338, 6700 AH Wageningen, The Netherlands
| | - Bas Engel
- grid.4818.50000 0001 0791 5666Biometris, Wageningen University & Research, PO Box 16, 6700 AA Wageningen, The Netherlands
| | - Jozef T. N. van der Werf
- grid.4818.50000 0001 0791 5666Livestock Research, Wageningen University & Research, PO Box 338, 6700 AH Wageningen, The Netherlands
| | - Sabine K. Schnabel
- grid.4818.50000 0001 0791 5666Biometris, Wageningen University & Research, PO Box 16, 6700 AA Wageningen, The Netherlands
| | - Cornelis G. van Reenen
- grid.4818.50000 0001 0791 5666Animal Production Systems Group, Wageningen University & Research, PO Box 338, 6700 AH Wageningen, The Netherlands ,grid.4818.50000 0001 0791 5666Livestock Research, Wageningen University & Research, PO Box 338, 6700 AH Wageningen, The Netherlands
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Hall SJG, Arney DR, Bunce RGH, Vollmer E. Video recording and vegetation classification elucidate sheep foraging ecology in species-rich grassland. Ecol Evol 2021; 11:14873-14887. [PMID: 34765147 PMCID: PMC8571568 DOI: 10.1002/ece3.8172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 09/07/2021] [Accepted: 09/09/2021] [Indexed: 11/21/2022] Open
Abstract
Factors influencing grazing behavior in species-rich grasslands have been little studied. Methodologies have mostly had a primary focus on grasslands with lower floristic diversity.We test the hypothesis that grazing behavior is influenced by both animal and plant factors and investigate the relative importance of these factors, using a novel combination of video technology and vegetation classification to analyze bite and step rates.In a semi-natural, partially wooded grassland in northern Estonia, images of the vegetation being grazed and records of steps and bites were obtained from four video cameras, each mounted on the sternum of a sheep, during 41 animal-hours of observation over five days. Plant species lists for the immediate field of view were compiled. Images were partnered by direct observation of the nearest-neighbor relationships of the sheep. TWINSPAN, a standard vegetation classification technique allocating species lists to objectively defined classes by a principal components procedure, was applied to the species lists and 25 vegetation classes (15 open pasture and 10 woodland) were identified from the images.Taking bite and step rates as dependent variables, relative importance of animal factors (sheep identity), relative importance of day, and relative importance of plant factors (vegetation class) were investigated. The strongest effect on bite rates was of vegetation class. Sheep identity was less influential. When the data from woodland were excluded, sheep identity was more important than vegetation class as a source of variability in bite rate on open pasture.The original hypothesis is therefore supported, and we further propose that, at least with sheep in species-rich open pastures, animal factors will be more important in determining grazing behavior than plant factors. We predict quantifiable within-breed and between-breed differences, which could be exploited to optimize conservation grazing practices and contribute to the sustainability of extensive grazing systems.
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Affiliation(s)
| | | | | | - Elis Vollmer
- Estonian University of Life SciencesTartuEstonia
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Jensen MB, Vestergaard M. Invited review: Freedom from thirst-Do dairy cows and calves have sufficient access to drinking water? J Dairy Sci 2021; 104:11368-11385. [PMID: 34389150 DOI: 10.3168/jds.2021-20487] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 06/22/2021] [Indexed: 11/19/2022]
Abstract
The importance of drinking water for production and animal welfare is widely recognized, but surveys and animal welfare assessment schemes suggest that many dairy calves and dairy cows do not have sufficient access. Limit milk-fed calves drink more water than calves fed milk ad libitum, but ad libitum milk-fed calves also require access to drinking water, as milk does not meet the animal's requirement for water. At hot ambient temperatures and when calves are sick, access to water is especially important and should be provided at all times. Many young calves do not have access to water throughout 24 h, and whether healthy young calves require free access to water at all times, or from which age, is not clear and requires further study. Dairy cow free water intake (FWI) is largely determined by milk yield, and high-yielding dairy cows may drink up 100 L of water per day. Dry matter, crude protein, and salt content of feed, as well as ambient temperature, have considerable effects on dairy cow water intake. Deprivation of water affects meal patterning for the cow, as well as increased subsequent rate of drinking and compensatory water intake. Although dairy cow ad libitum water intake may exceed the water provision necessary to maintain production, offering water for ad libitum intake may be necessary to safe guard animal welfare. Cattle are suction drinkers that prefer to drink from large open water surfaces, and Holstein dairy cows can drink at a rate of up to 24 L/min. Research on the effect of design and placement of water troughs for indoor-housed dairy cows on their drinking behavior and water intake is limited. Access to a water source at pasture increases the time cows spend there, and access to shade reduces water requirements during periods of warm weather. In both indoor and pastured cattle, there is a lack of knowledge about the effect of stocking of water troughs on competition, drinking behavior, and intake in dairy cows. Studies on the effect of available water trough length and placement, and of the number of cows being able to drink from the same trough of a given dimension, are needed to evaluate current recommendations.
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Affiliation(s)
- Margit Bak Jensen
- Aarhus University, Department of Animal Science, Blichers Allé 20, DK-8830 Tjele, Denmark.
| | - Mogens Vestergaard
- Aarhus University, Department of Animal Science, Blichers Allé 20, DK-8830 Tjele, Denmark; SEGES, Livestock Innovation, DK-8200 Aarhus N, Denmark
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7
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Nielsen BL, Cellier M, Duvaux-Ponter C, Giger-Reverdin S. Dairy goats adjust their meal patterns to the fibre content of the diet. Animal 2021; 15:100265. [PMID: 34102433 DOI: 10.1016/j.animal.2021.100265] [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: 08/03/2020] [Revised: 04/27/2021] [Accepted: 04/29/2021] [Indexed: 10/21/2022] Open
Abstract
Few studies have investigated how meal patterns of ruminants are affected by diet fibre content. Dairy goats (N = 32) in late lactation and early gestation were housed in eight groups of four goats, with all combinations of breed (Alpine and Saanen) and lactation number (1 and 2) represented in each group. Each goat had access to its own individual feed trough placed on a weigh scale with data logged automatically. All goats were fed the same total mixed ration (TMR; 30% concentrate and 44.6% NDF in DM) ad libitum for a control period of 22 days. Using the same feed ingredients, half of the groups were then offered a High fibre diet (20% concentrate; 47.3% NDF), and the other half a Low fibre diet (40% concentrate; 41.5% NDF) for a treatment period of 16 days. Daily meal patterns (meal frequency, duration and size, feeding rate, daily feed intake and daily feeding time) were computed for each animal using a meal criterion of 8 min. The last 10 days for each period (control and treatment) were used to calculate individual period means and individual differences between the two periods. During the control period, the goats ate on average 12.1 ± 0.49 meals/day, consuming 4.2 ± 0.10 kg fresh TMR daily. When the ration changed, all measures of feeding behaviour except meal size changed asymmetrically for the goats on the two diets. Goats fed the High fibre diet reduced their meal frequency by 10%, and the first meal after feed distribution lasted 11% longer, leading to a 9% reduction in feeding rate and no significant changes in daily feed intake and daily feeding time. Goats on the Low fibre diet did not significantly change their meal frequency or meal size, but the combined changes nevertheless led to a 9% increase in daily feed intake. On the Low fibre diet, goats were able to increase their feeding rate by a third, leading to a reduction in meal durations, thus reducing daily feeding time by 13%. Goats adapt their feeding behaviour to the fibre proportion of the offered diet, with more changes when fibre content is lowered, which needs to be taken into account when comparing phenotypes and adaptability of small ruminants to different diets.
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Affiliation(s)
- B L Nielsen
- Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants (MoSAR), 75005 Paris, France
| | - M Cellier
- Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants (MoSAR), 75005 Paris, France
| | - C Duvaux-Ponter
- Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants (MoSAR), 75005 Paris, France.
| | - S Giger-Reverdin
- Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants (MoSAR), 75005 Paris, France
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8
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Inter- and intra-individual variability of feeding behaviour in group housed dairy goats. Appl Anim Behav Sci 2021. [DOI: 10.1016/j.applanim.2020.105167] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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9
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Piwczyński D, Sitkowska B, Kolenda M, Brzozowski M, Aerts J, Schork PM. Forecasting the milk yield of cows on farms equipped with automatic milking system with the use of decision trees. Anim Sci J 2020; 91:e13414. [PMID: 32618028 DOI: 10.1111/asj.13414] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 02/26/2020] [Accepted: 03/16/2020] [Indexed: 11/30/2022]
Abstract
The purpose of this paper was to utilize the decision trees technique to determine the factors responsible for high monthly milk yield in Polish Holstein-Friesian cows from 27 herds equipped with milking robots. The applied statistical method-the decision tree technique-showed that the most important factors responsible for monthly milk yield of dairy cows using robots were, in descending order of importance: milking frequency, lactation number, month of milking, and type of lying stall. At the same time, it has been ascertained that the highest monthly milk yield (47.24 kg) can be expected from multiparous cows kept in barns with a deep bedding that were milked more frequently than three times per day. On the other hand, the lowest milk production (13.56 kg) was observed among dairy cows milked less frequently than two times a day, with an average number of milked quarters lower than 3.97. The application of the decision trees technique allows a breeder to select appropriate levels of environmental factors and parameters that will help to ensure maximized milk production.
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Affiliation(s)
- Dariusz Piwczyński
- Department of Animal Biotechnology and Genetics, Faculty of Animal Breeding and Biology, UTP University of Science and Technology, Bydgoszcz, Poland
| | - Beata Sitkowska
- Department of Animal Biotechnology and Genetics, Faculty of Animal Breeding and Biology, UTP University of Science and Technology, Bydgoszcz, Poland
| | - Magdalena Kolenda
- Department of Animal Biotechnology and Genetics, Faculty of Animal Breeding and Biology, UTP University of Science and Technology, Bydgoszcz, Poland
| | - Marcin Brzozowski
- Department of Animal Biotechnology and Genetics, Faculty of Animal Breeding and Biology, UTP University of Science and Technology, Bydgoszcz, Poland
| | - Joanna Aerts
- Lely Dairy Australia PTY Ltd, Truganina, Australia
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11
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Bach A, Cabrera V. Robotic milking: Feeding strategies and economic returns. J Dairy Sci 2017; 100:7720-7728. [DOI: 10.3168/jds.2016-11694] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2016] [Accepted: 12/17/2016] [Indexed: 11/19/2022]
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12
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King M, Crossley R, DeVries T. Impact of timing of feed delivery on the behavior and productivity of dairy cows. J Dairy Sci 2016; 99:1471-1482. [DOI: 10.3168/jds.2015-9790] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 10/30/2015] [Indexed: 11/19/2022]
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13
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Westin R, Vaughan A, de Passillé A, DeVries T, Pajor E, Pellerin D, Siegford J, Vasseur E, Rushen J. Lying times of lactating cows on dairy farms with automatic milking systems and the relation to lameness, leg lesions, and body condition score. J Dairy Sci 2016; 99:551-61. [DOI: 10.3168/jds.2015-9737] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2015] [Accepted: 09/08/2015] [Indexed: 11/19/2022]
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Leen F, Navarro-Villa A, Fowers R, Martín-Tereso J, Pellikaan WF. Meal pattern analysis for effects of compound feed formulation in mid to late lactating dairy cows fed hay and compound feed both ad libitum. ANIMAL PRODUCTION SCIENCE 2014. [DOI: 10.1071/an14361] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The Kempen System is a dairy feeding system allowing ad libitum access to pelleted compound feed (CF) and hay. This system allows high DM intake (DMI) up to 30 kg DM (80% CF), but small and frequent CF meals are essential to reduce negative ruminal pH fluctuations. Little is known about feed intake patterns of cows on ad libitum and separated access to CF and hay. Meal pattern analysis was performed to evaluate feed intake behaviour of two different isoenergetic and isonitrogenous CF (starch vs fibre), contrasting in neutral detergent fibre, acid detergent fibre and starch content. Twenty primi- and multiparous Holstein-Friesian cows (203 ± 35.4 days in milk) received grass hay ad libitum with one of the two CF also offered ad libitum. Meal criteria, the shortest non-feeding interval between feeding events separating two consecutive meals, were used to cluster feeding events into separate meals. The meal criteria were determined per cow by fitting the log10-transformed feeding intervals to Gaussian–Gaussian probability density functions. The DMI of CF fibre (18.8 ± 0.54 kg) tended to be greater (P = 0.09) than starch (18.1 ± 0.54 kg/day), while that of grass hay (4.8 ± 0.29 kg) was unaffected (P = 0.23). The CF meal size did not differ (P = 0.26) between treatments (starch 2.9 vs fibre 3.0 ± 0.11 kg/meal), but number of meals per day (6.36 ± 0.229, P = 0.87) and meal durations (64 ± 3.5 min, P = 0.87) did not differ between treatments. The differences in CF formulation were insufficient to create detectable differences in feed intake nor intake behaviour patterns.
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Miller-Cushon E, Bergeron R, Leslie K, DeVries T. Effect of milk feeding level on development of feeding behavior in dairy calves. J Dairy Sci 2013; 96:551-64. [DOI: 10.3168/jds.2012-5937] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2012] [Accepted: 09/26/2012] [Indexed: 11/19/2022]
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16
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Jacobs J, Siegford J. Invited review: The impact of automatic milking systems on dairy cow management, behavior, health, and welfare. J Dairy Sci 2012; 95:2227-47. [DOI: 10.3168/jds.2011-4943] [Citation(s) in RCA: 160] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2011] [Accepted: 01/11/2012] [Indexed: 11/19/2022]
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17
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Bailey JC, Tedeschi LO, M Mendes ED, Sawyer JE, Carstens GE. Technical note: Evaluation of bimodal distribution models to determine meal criterion in heifers fed a high-grain diet. J Anim Sci 2012; 90:2750-3. [PMID: 22408083 DOI: 10.2527/jas.2011-4634] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Meals are clusters of feedbunk visit (BV) events that are differentiated from the next meal by a nonfeeding interval that is longer compared with the nonfeeding intervals within a meal. The longest nonfeeding interval considered to be part of a meal is defined as the meal criterion. The objective of this study was to determine which combination of 2 probability density functions [(PDF): Gaussian normal (G), Weibull (W), Log-Normal, Gamma, and Gumbel] used in a bimodal distribution model had the best fit of nonfeeding interval data collected in beef heifers. Feeding behavior traits (572,627 total BV events) were measured in 119 heifers fed a high-grain diet (3.08 Mcal ME/kg DM), using a GrowSafe system for 66 d. The frequency and duration of BV events averaged 75 ± 15 events/d and 73.0 ± 22.3 min/d, respectively. The bimodal PDF combinations were fitted to the log(10)-transformed interval lengths between BV events for each animal, using R mixdist package (2.13). The Akaike Information Criterion (AIC) was used to assess goodness of fit of the 25 bimodal PDF combinations. The PDF model with the least AIC value was selected as the best fit for each individual. A χ(2) analysis of the selected best PDF distribution across individuals revealed that 78.2% of the heifers best fit were G-W or W-W PDF models. The likelihood probability estimates were calculated from the average AIC deviation of each model from the standard G-G model. The G-W likelihood probability estimate was greater (P = 0.001) than the W-W combination (0.997 vs. 0.727). Our analysis indicated the G-W model had a statistically better fit and is most likely the best approach to define meal criterion in beef heifers fed high-grain diets.
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Affiliation(s)
- J C Bailey
- Department of Animal Science, Texas A&M University, College Station, TX 77843-2471, USA
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Tolkamp BJ, Allcroft DJ, Barrio JP, Bley TAG, Howie JA, Jacobsen TB, Morgan CA, Schweitzer DPN, Wilkinson S, Yeates MP, Kyriazakis I. The temporal structure of feeding behavior. Am J Physiol Regul Integr Comp Physiol 2011; 301:R378-93. [DOI: 10.1152/ajpregu.00661.2010] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Meals have long been considered relevant units of feeding behavior. Large data sets of feeding behavior of cattle, pigs, chickens, ducks, turkeys, dolphins, and rats were analyzed with the aims of 1) describing the temporal structure of feeding behavior and 2) developing appropriate methods for estimating meal criteria. Longer (between-meal) intervals were never distributed as the negative exponential assumed by traditional methods, such as log-survivorship analysis, but as a skewed Gaussian, which can be (almost) normalized by log-transformation of interval lengths. Log-transformation can also normalize frequency distributions of within-meal intervals. Meal criteria, i.e., the longest interval considered to occur within meals, can be estimated after fitting models consisting of Gaussian functions alone or of one Weibull and one or more Gaussian functions to the distribution of log-transformed interval lengths. Nonuniform data sets may require disaggregation before this can be achieved. Observations from all species were in conflict with assumptions of random behavior that underlie traditional methods for criteria estimation. Instead, the observed structure of feeding behavior is consistent with 1) a decrease in satiety associated with an increase in the probability of animals starting a meal with time since the last meal and 2) an increase in satiation associated with an increase in the probability of animals ending a meal with the amount of food already consumed. The novel methodology proposed here will avoid biased conclusions from analyses of feeding behavior associated with previous methods and, as demonstrated, can be applied across a range of species to address questions relevant to the control of food intake.
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Affiliation(s)
| | | | - Juan P. Barrio
- Departamento de Ciencias Biomédicas, and Instituto de Biomedicina, Universidad de León, León, Spain
| | - Tobias A. G. Bley
- Farm Animal Ethology and Poultry Production, University of Hohenheim, Stuttgart, Germany; and
| | | | | | - Colin A. Morgan
- Sustainable Livestock Systems, Scottish Agricultural College, Odense, Denmark, Edinburgh, United Kingdom
| | | | | | | | - Ilias Kyriazakis
- School of Agriculture, Food and Rural Development, Newcastle University, Newcastle upon Tyne, United Kingdom
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Relationships between milking frequency, lactation persistency and milk yield in Swedish Red heifers and cows milked in a voluntary attendance automatic milking system. J DAIRY RES 2011; 78:379-84. [DOI: 10.1017/s0022029911000471] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
A large dataset comprising output from an automatic milking (AM) system between 1999 and 2006 was examined and a total of 172 cow lactation curves and 68 heifer lactation curves were identified for further analysis. Relationships between milking frequency at different stages of lactation and lactation persistency and total lactation yield were determined. Cows had higher peak and total milk yields than heifers, but heifers had higher persistency (defined as the rate of decline in milk yield between days 100 and 300 post calving). Milking frequency did not differ significantly between cows and heifers in early lactation, but thereafter decreased significantly more in cows than in heifers. The effect of milking frequency on yield characteristics was analysed by comparing the highest and lowest quartiles for milking frequency. High milking frequency in early lactation was consistently associated with increased peak yield. High milking frequency averaged across the whole lactation was associated with increased peak yield in both cows and heifers, and with improved lactation persistency in cows only. This resulted in total lactation yield that was 21% greater in the high quartile cows compared with the low.
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20
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Maize silage particle length modulates feeding patterns and milk composition in loose-housed lactating Holstein cows. Livest Sci 2009. [DOI: 10.1016/j.livsci.2008.12.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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21
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Halachmi I, Shoshani E, Solomon R, Maltz E, Miron J. Feeding soyhulls to high-yielding dairy cows increased milk production, but not milking frequency, in an automatic milking system. J Dairy Sci 2009; 92:2317-25. [PMID: 19389990 DOI: 10.3168/jds.2007-0958] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
To attract a cow into an automatic milking system (AMS), a certain amount of concentrate pellets is provided while the cow is being milked. If the milking frequency in an AMS is increased, the intake of concentrate pellets might increase accordingly. Replacing conventional starchy pellets with nonstarchy pellets increased milk yield, milk fat, and milk protein and decreased body weight. The hypothesis was that a nonroughage by-product rich in digestible neutral detergent fiber, such as soyhulls and gluten feed, could replace starchy grain in pellets fed in an AMS. Sixty cows were paired by age, milk yield, and days in milk, and were fed a basic mixture ad libitum [16.2 +/- 0.35 (mean +/- SE) kg of dry matter intake/d per cow] plus a pelleted additive (6 to 14 kg of dry matter/d per cow) that was consumed in the AMS and in a concentrate self-feeder, which could only be entered after passing through the AMS. The 2 feeding regimens differed only in the composition of the pelleted additives: the control group contained 52.9% starchy grain, whereas the experimental group contained 25% starchy grain, plus soyhulls and gluten feed as replacement for part of the grain. Wheat bran in the control ration, a source of fiber with low digestibility, was replaced with more digestible soyhulls and gluten. During the first 60 d in milk, a cow received 10 to 12 kg of concentrate pellets. After 60 DIM, concentrate feed was allocated by milk production: < or =25 kg/d of milk entitled a cow to 2 kg/d of concentrate feed; >25 kg/d of milk entitled a cow to receive 1 kg/d of additional concentrate feed per 5 kg/d of additional milk production, and >60 kg/d of milk entitled a cow to receive 9 kg of concentrate. The concentrate feed was split between the AMS and concentrate self-feeder. The 2 diets resulted in similar frequencies of voluntary milking (3.12 +/- 0.03 to 2.65 +/- 0.03 visits/d per cow vs. 3.16 +/- 0.00 to 2.60 +/- 0.01 visits/d per cow). Average milk yields were higher in the experimental group (42.7 +/- 0.76 to 39.09 +/- 0.33 kg/d per cow vs. 39.69 +/- 0.68 to 37.54 +/- 0.40 kg/d per cow) and percentages of milk protein (3.02 +/- 0.06 to 3.12 +/- 0.05% vs. 3.07 +/- 0.04 to 3.20 +/- 0.04%) and milk fat (3.42 +/- 0.17 to 3.44 +/- 0.08% vs. 3.38 +/- 0.13 to 3.55 +/- 0.06%) were similar in the 2 groups. The results suggest that the proposed pellets high in digestible neutral detergent fiber can be allocated via the AMS to selected high-yielding cows without a negative effect on appetite, milk yield, or milk composition while maintaining a high milking frequency.
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Affiliation(s)
- I Halachmi
- Agricultural Research Organization (ARO), PO Box 6, Bet Dagan 50250, Israel.
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Abrahamse P, Vlaeminck B, Tamminga S, Dijkstra J. The Effect of Silage and Concentrate Type on Intake Behavior, Rumen Function, and Milk Production in Dairy Cows in Early and Late Lactation. J Dairy Sci 2008; 91:4778-92. [DOI: 10.3168/jds.2008-1350] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Cardot V, Le Roux Y, Jurjanz S. Drinking Behavior of Lactating Dairy Cows and Prediction of Their Water Intake. J Dairy Sci 2008; 91:2257-64. [DOI: 10.3168/jds.2007-0204] [Citation(s) in RCA: 70] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Svennersten-Sjaunja KM, Pettersson G. Pros and cons of automatic milking in Europe1. J Anim Sci 2008; 86:37-46. [DOI: 10.2527/jas.2007-0527] [Citation(s) in RCA: 71] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Melin M, Pettersson G, Svennersten-Sjaunja K, Wiktorsson H. The effects of restricted feed access and social rank on feeding behavior, ruminating and intake for cows managed in automated milking systems. Appl Anim Behav Sci 2007. [DOI: 10.1016/j.applanim.2006.09.026] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Villagrá A, Althaus RL, Lainez M, Martinez AB, Torres AG. Modelling of daily rhythms of behavioural patterns in growing pigs on two commercial farms. BIOL RHYTHM RES 2007. [DOI: 10.1080/09291010600950131] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Aránzazu Villagrá
- a Instituto Valenciano de Investigaciones Agrarias - CITA , Polígono La Esperanza n°100, 12400, Segorbe, Castellón, Spain
- c Department of Animal Science , Universidad Politécnica de Valencia , Camino de Vera s/n, 46022, Valencia, Spain
| | - Rafael L. Althaus
- b Cátedra de Biofísica, Departamento de Ciencias Básicas , Facultad de Ciencias Veterinarias, Universidad Nacional del Litoral , R. P. L. Kreder, 2805 (3080), Esperanza, Santa Fe, Argentina
| | - Manuel Lainez
- a Instituto Valenciano de Investigaciones Agrarias - CITA , Polígono La Esperanza n°100, 12400, Segorbe, Castellón, Spain
| | - Ana Belén Martinez
- c Department of Animal Science , Universidad Politécnica de Valencia , Camino de Vera s/n, 46022, Valencia, Spain
| | - Antonio G. Torres
- c Department of Animal Science , Universidad Politécnica de Valencia , Camino de Vera s/n, 46022, Valencia, Spain
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Bach A, Iglesias C, Devant M. Daily rumen pH pattern of loose-housed dairy cattle as affected by feeding pattern and live yeast supplementation. Anim Feed Sci Technol 2007. [DOI: 10.1016/j.anifeedsci.2006.09.011] [Citation(s) in RCA: 65] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Halachmi I, Shoshani E, Solomon R, Maltz E, Miron J. Feeding of Pellets Rich in Digestible Neutral Detergent Fiber to Lactating Cows in an Automatic Milking System. J Dairy Sci 2006; 89:3241-9. [PMID: 16840642 DOI: 10.3168/jds.s0022-0302(06)72599-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
If the milking frequency in an automatic milking system (AMS) is increased, the intake of concentrated pellets in the robot may be raised accordingly. Consumption of a large quantity of starchy grains within a short time can impair the appetite, decrease voluntary visits to the milking stall, and lower intakes of dry matter (DM) and neutral detergent fiber (NDF). Therefore, the hypothesis to be tested in this study was whether conventional starchy pellets fed in the AMS could be replaced with pellets rich in digestible NDF without impairing the cows' motivation to visit a milking stall voluntarily. Fifty-four cows were paired according to age, milk yield, and days in milk, and were fed a basic mixture along the feeding lane (19.9 kg of DM/cow per d), plus a pelleted additive (approximately 5.4 kg of DM/cow per d) that they obtained in the milking stall and in the concentrate self-feeder that they could enter only after passing through the milking stall. The 2 feeding regimens differed only in the composition of the pelleted additive, which, for the control group, contained 49% starchy grain, and for the experimental group contained 25% starchy grain plus soy hulls and gluten feed as replacement for part of the grain and other low-digestible, NDF-rich feeds. Both diets resulted in similar rates of voluntary milkings (3.31 vs. 3.39 visits/cow per d). Average yields of milk and percentages of milk protein were also similar in the 2 groups. The results suggest that an alternative pellet composition can be allocated in the AMS in conjunction with basic mixture in the feeding lane, without any negative effect on appetite, milk yield, milk composition, or milking frequency of the cows. It also opens the opportunity to increase yields of milk and milk solids by increasing the amount of pelleted concentrates that can be allocated to selected high-yielding cows via the AMS, because this can be done while maintaining a high frequency of voluntary milkings.
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Affiliation(s)
- I Halachmi
- Agricultural Research Organization (A.R.O), P.O. Box 6, Bet Dagan 50250, Israel.
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Abstract
Different feeds or combination of feeds were studied in 11 short-term experiments with the objective to identify concentrates that were especially desirable for cattle. Eating rate of different feeds was studied in 6 experiments using 10 heifers in a Latin square design with 2 blocks of 5 animals, 5 treatments (feeds), and 5 periods (days). Preference as shown by feed choice was studied in 5 experiments with 12 heifers. Paired comparisons of 4 different feeds (1 through 4) in the 6 possible combinations of 1 and 2, 1 and 3, 1 and 4, 2 and 3, 2 and 4, and 3 and 4 were performed. A control feed of ground barley was included in all experiments. In the eating rate and preference experiments, a total of 25 and 16 feeds, respectively, were studied. The categories of feeds studied were basic feeds, such as cereals, soybean meal, and rapeseed products, and feed mixtures based on ground barley with sweet additives or additives based on fat products. Pelleted concentrate mixtures were also evaluated. From the results obtained, the following feeds were identified as being among the most preferred feeds: pelleted feeds, heat-treated rapeseed meal, barley with 10% rapeseed fatty acid, barley with 10% palm oil, and barley with 10% glycerol, whereas ground palm kernel expeller was undesirable. A clear preference for pellets over ground barley was demonstrated, but no difference in preference was observed for the 3 different pellets that were compared.
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Affiliation(s)
- E Spörndly
- Swedish University of Agricultural Sciences (SLU), Department of Animal Nutrition and Management, Kungsängen Research Center, SE-753 23 Uppsala, Sweden.
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Melin M, Hermans G, Pettersson G, Wiktorsson H. Cow traffic in relation to social rank and motivation of cows in an automatic milking system with control gates and an open waiting area. Appl Anim Behav Sci 2006. [DOI: 10.1016/j.applanim.2005.06.013] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Bach A, Iglesias C, Devant M, Ràfols N. Performance and Feeding Behavior of Primiparous Cows Loose Housed Alone or Together with Multiparous Cows. J Dairy Sci 2006; 89:337-42. [PMID: 16357298 DOI: 10.3168/jds.s0022-0302(06)72099-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Lactating Holstein cows (52 multiparous and 90 primiparous) were monitored over a period of 10 mo to observe effects of grouping primiparous cows (PPC) separately from multiparous cows (MPC) on performance, feeding behavior, feed intake, feed efficiency, and milk production of PPC. Cows were kept in 2 symmetrical pens each equipped with a robotic milking unit, 2 waterers, and 28 feeding spaces. Typically, 100 lactating cows were present at a time, thereby ensuring 1.78 cows per feeding place in each pen. One pen (PP) was composed exclusively of PPC whereas the other pen (PM) included 30% PPC and 70% MPC. Primiparous cows were evenly distributed to each pen by days in milk and daily milk production. As they calved, additional primiparous cows were assigned sequentially to each of the 2 treatment groups; multiparous cows calving during the study were allocated to the PM group. Both PP and PM groups were managed equally and were fed the same basal ration twice daily plus 3 kg/d of concentrate during milking. Individual eating behavior and feed consumption at each visit were monitored electronically. Milk production was recorded daily, and milk composition monthly. Observed arithmetic means and standard errors are presented but application to other management situations is limited because animals within pen were not independent. Total dry matter intake (18.7 vs. 18.1 +/- 0.9 kg/d) and milk production (25.9 vs. 25.6 +/- 0.8 kg/d) of PPC were similar in both the PM and PP groups, respectively. Primiparous cows in the PP group had numerically more visits to the robotic milking unit (3.26 vs. 2.68 +/- 0.15) and to the feed troughs (4.91 vs. 4.02 +/- 0.43), but apparently spent less time eating (2.72 vs. 3.22 +/- 0.1 h/d) than did PPC in the PM group. Differences in feed efficiency were low but PPC in the PP group had numerically higher feed efficiency at times through 200 d in milk. Alternative grouping strategies illustrate potentially important differential responses among primiparous cows that warrant further study.
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Affiliation(s)
- A Bach
- ICREA (Institució Catalana de Recerca i Estudis Avançats), 08010 Barcelona, Spain.
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Katainen A, Norring M, Manninen E, Laine J, Orava T, Kuoppala K, Saloniemi H. Competitive behaviour of dairy cows at a concentrate self-feeder. ACTA AGR SCAND A-AN 2005. [DOI: 10.1080/09064700500239453] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Melin M, Svennersten-Sjaunja K, Wiktorsson H. Feeding Patterns and Performance of Cows in Controlled Cow Traffic in Automatic Milking Systems. J Dairy Sci 2005; 88:3913-22. [PMID: 16230697 DOI: 10.3168/jds.s0022-0302(05)73077-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Two groups of dairy cows monitored from 3 to 19 wk postpartum were subjected to 2 different cow traffic routines in an automatic milking system with control gates and an open waiting area. Using different time settings in the control gates, the groups of cows were separated by average milking frequency; cows in the high milking frequency routine had a minimum of 4 h between milkings (MF(4)) and were milked 3.2 +/- 0.1 times daily, whereas cows in the low milking frequency routine had at least 8 h between milkings (MF8) and were milked 2.1 +/- 0.1 times daily. Cows in the 2 groups were switched to the opposite milking frequency control for wk 18 and 19. The increased milking frequency resulted in a higher milk yield of about 9% through 16 wk of early lactation Although the higher milk yield was not significant when measured as energy-corrected milk, significant interactions of milking frequency and study period for milk yield and energy-corrected milk yield were consistent with a yield response when cows were milked more frequently. Meal criteria estimated for each individual cow were used to group feeding visits into meals. During MF4, cows fed in fewer meals per day and had longer meals than during MF8. The control gates were used efficiently, with only a few passages not resulting in actual meals. Although the voluntary meal intervals seemed to be short, the average milking frequency was far below that theoretically possible. This was explained by individual differences in milking frequency and long intervals from when a cow was redirected in a control gate until it arrived in the milking unit. A wide individual range in the voluntary interval between the first and the second meal in the milking cycle suggests that fixed time limits for control gates set on group level have no justifiable biological basis. It was also concluded that primiparous cows were well adapted to the automatic milking system after 2 wk in the barn.
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Affiliation(s)
- M Melin
- Department of Animal Nutrition and Management, Swedish University of Agricultural Sciences, Uppsala, Sweden.
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Huzzey JM, von Keyserlingk MAG, Weary DM. Changes in Feeding, Drinking, and Standing Behavior of Dairy Cows During the Transition Period. J Dairy Sci 2005; 88:2454-61. [PMID: 15956308 DOI: 10.3168/jds.s0022-0302(05)72923-4] [Citation(s) in RCA: 151] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
The aims of this study were to determine how measures of feeding, drinking, and standing behavior change over the period around calving, to derive objective meal and drinking bout criteria for transition cows, and to describe the within-cow consistency of these behavioral measures. Fifteen transition dairy cows were monitored from 10 d before until 10 d after calving. Meal criteria were calculated for each cow in both the pre- and postcalving periods and varied among cows from 5.3 to 105.2 min. There was a tendency for the average number of meals per day to be higher after calving than before calving, but time spent eating declined from 87 to 62 min/d from the precalving to the postcalving period. Time spent drinking before calving averaged 5.5 min/d and increased gradually after calving to an average of 6.8 min/d. Total daily standing times remained reasonably similar over the transition period but were highest at around calving (14.4 h) and lowest during the precalving period (12.3 h). On the day of calving, there was a dramatic increase in the number of standing bouts (21.8 bouts) compared with the pre- and postcalving averages of 11.7 and 13.1 bouts, respectively. In summary, changes in feeding behavior may help account for the well-documented changes in feed intake during transition. Documented changes in standing behavior suggest that cow comfort may be particularly important during the time around calving.
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Affiliation(s)
- J M Huzzey
- Animal Welfare Program, Faculty of Agricultural Sciences, The University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada.
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