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Wu H, Yao S, Wang T, Wang J, Ren K, Yang H, Ma W, Ji P, Lu Y, Ma H, He C, Wei W, Zhang L, Liu G. Effects of Melatonin on Dairy Herd Improvement (DHI) of Holstein Cow with High SCS. Molecules 2021; 26:molecules26040834. [PMID: 33562613 PMCID: PMC7915447 DOI: 10.3390/molecules26040834] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 01/30/2021] [Accepted: 02/01/2021] [Indexed: 11/16/2022] Open
Abstract
Mastitis is a common disease in cows breeding. The milk quality will be significantly reduced with increased milk somatic cells, which often occurs in cows with mastitis. In this study, the influence of seasonal changes, age and lactation stages in the Dairy Herd Improvement (DHI) of cows was investigated. Then, the Dairy Herd Improvement (DHI) of cows with high somatic cell score (SCS) after melatonin treatment was systemically investigated. The results showed that melatonin significantly suppressed the milk somatic cell score under all of the tested conditions. The melatonin treatment also improved the milk nutritional value by reducing its fat but increasing its lactose and protein contents. The application of melatonin significantly improved the DHI. The beneficial effects of melatonin on DHI are likely attributed to the antioxidant and anti-inflammatory activities of melatonin.
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Affiliation(s)
- Hao Wu
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agricultural, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (H.W.); (S.Y.); (H.Y.); (W.M.); (P.J.); (L.Z.)
| | - Songyang Yao
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agricultural, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (H.W.); (S.Y.); (H.Y.); (W.M.); (P.J.); (L.Z.)
| | - Tiankun Wang
- Beijing Chang Ping District Animal Disease Prevention and Control Center, Beijing 102200, China;
| | - Jun Wang
- Beijing Animal Husbandry and Veterinary General Station, Beijing 100012, China; (J.W.); (K.R.); (Y.L.)
| | - Kang Ren
- Beijing Animal Husbandry and Veterinary General Station, Beijing 100012, China; (J.W.); (K.R.); (Y.L.)
| | - Hai Yang
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agricultural, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (H.W.); (S.Y.); (H.Y.); (W.M.); (P.J.); (L.Z.)
| | - Wenkui Ma
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agricultural, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (H.W.); (S.Y.); (H.Y.); (W.M.); (P.J.); (L.Z.)
| | - Pengyun Ji
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agricultural, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (H.W.); (S.Y.); (H.Y.); (W.M.); (P.J.); (L.Z.)
| | - Yongqiang Lu
- Beijing Animal Husbandry and Veterinary General Station, Beijing 100012, China; (J.W.); (K.R.); (Y.L.)
| | - Hui Ma
- Beijing Shou Nong Food Group Co. Ltd., Beijing 100029, China; (H.M.); (C.H.); (W.W.)
| | - Changwang He
- Beijing Shou Nong Food Group Co. Ltd., Beijing 100029, China; (H.M.); (C.H.); (W.W.)
| | - Wenjuan Wei
- Beijing Shou Nong Food Group Co. Ltd., Beijing 100029, China; (H.M.); (C.H.); (W.W.)
| | - Lu Zhang
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agricultural, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (H.W.); (S.Y.); (H.Y.); (W.M.); (P.J.); (L.Z.)
| | - Guoshi Liu
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agricultural, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (H.W.); (S.Y.); (H.Y.); (W.M.); (P.J.); (L.Z.)
- Correspondence: ; Tel./Fax: +86-10-6273-2735
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Hagevoort GR, Douphrate DI, Reynolds SJ. A Review of Health and Safety Leadership and Managerial Practices on Modern Dairy Farms. J Agromedicine 2013; 18:265-73. [DOI: 10.1080/1059924x.2013.796905] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Chassagne M, Barnouin J, Le Guenic M. Expert Assessment Study of Milking and Hygiene Practices Characterizing Very Low Somatic Cell Score Herds in France. J Dairy Sci 2005; 88:1909-16. [PMID: 15829686 DOI: 10.3168/jds.s0022-0302(05)72867-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
French dairy herds were selected on a national basis through the "Zero Mastitis Objective" Program (ZMP) to display hygiene and milking practices characterizing very low somatic cell score (SCS) herds. The herds selected were stratified in 2 groups. The first group (LOW) included 187 herds within the first 5 percentiles of herds regarding mean SCS for the 36 mo preceding ZMP (36-mo SCS). The second group (MED) included 117 herds within the 50 to 55th percentile of herds regarding 36-mo SCS. Mean milk SCS was 3.09 in the MED herds vs. 1.99 in the LOW herds, which corresponded to 265,000 and 135,000 cells/mL respectively. Moreover, LOW and MED herds did not change from one SCS category to another during ZMP. Potentially explanatory variables, collected by formally trained dairy management experts through observations from attendance at milking and farm visits, were analyzed using multistep logistic regression models. According to final model and expert observations, the probability for a herd to belong to the LOW group was maximized when: 1) winter cleanliness of dry cow shed was good; 2) use of teat spraying was carried out; and 3) California Mastitis Tests were performed at milking. Moreover, the herd probability of belonging to the MED group was maximized when: 1) air admission at teat cup attachment was observed during milking; 2) winter cleanliness of dry cow shed was poor; and 3) the milker spent time during milking to feed calves. Finally, the study highlighted milking and hygiene variables and attitudes appearing as key practices to control herd SCS through precise and safe milking and more attention paid to individual animals and cleanliness of dry cow shed.
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Affiliation(s)
- M Chassagne
- Animal Epidemiology Research Unit, Institut National de la Recherche Agronomique (INRA) 63122 Saint Genès Champanelle, France.
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