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Non-linear change in body condition score over lifetime is associated with breed in dairy cows in Germany

Optimal body condition is crucial for the well-being and optimal productivity of dairy cows. However, body condition depends on numerous, often interacting factors, with complex relationships between them. Moreover, most of the studies describe the body condition in Holstein cattle, while condition...

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Autores principales: Zablotski, Yury, Knubben-Schweizer, Gabriela, Hoedemaker, Martina, Campe, Amely, Müller, Kerstin, Merle, Roswitha, Dopfer, Dorte, Oehm, Andreas W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713480/
https://www.ncbi.nlm.nih.gov/pubmed/36466360
http://dx.doi.org/10.1016/j.vas.2022.100275
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author Zablotski, Yury
Knubben-Schweizer, Gabriela
Hoedemaker, Martina
Campe, Amely
Müller, Kerstin
Merle, Roswitha
Dopfer, Dorte
Oehm, Andreas W.
author_facet Zablotski, Yury
Knubben-Schweizer, Gabriela
Hoedemaker, Martina
Campe, Amely
Müller, Kerstin
Merle, Roswitha
Dopfer, Dorte
Oehm, Andreas W.
author_sort Zablotski, Yury
collection PubMed
description Optimal body condition is crucial for the well-being and optimal productivity of dairy cows. However, body condition depends on numerous, often interacting factors, with complex relationships between them. Moreover, most of the studies describe the body condition in Holstein cattle, while condition of some breeds, e.g. Simmental (SIM) and Brown Swiss (BS) cattle, have not been intensively studied yet. Body condition score (BCS) proved to be one of the most effective measures for monitoring body condition in dairy cows. Alterations in BCS were previously mainly studied over a single lactation period, while changes over the lifetime were largely ignored. This study was designed to report BCS of German SIM and BS cows in the light of the broadly accepted BCS in German Holstein (GH) cows and to explore patterns of change in BCS over the productive lifetime of animals. BCS was modeled via linear mixed effects regression, over- and undercondition of animals were studied using mixed effects logistic regressions and condition of animals was explored with the multinomial log-linear model via neural networks. All models included an interaction between breed and age. We found BCS of SIM and BS to be higher than BCS of GH. Our results show that BCS of BS cows did not change over the lifetime. In contrast, the BCS of GH and SIM was found to have a non-linear (quadratic) shape, where BCS increased up to the years of highest productivity and then decreased in aging cows. Patterns of change between SIM and GH, however, differed. GH do not only reach their highest BCS earlier in life compared to SIM, but also start to lose their body condition earlier. Our dataset revealed that 23% of the animals scored were over- and 14% underconditioned. The proportion of cows that were overconditioned was high (>10% of cows) for every breed and every age, while severe underconditioning (>10% of cows) occurred only in middle aged and old GH. Moreover, we found that the probability of underconditioning of animals over lifetime increases, while the overconditioning decreases from the middle to older ages. Our findings highlight the importance of understanding the non-linear nature of BCS, and uncover the potential opportunity for improving the performance and welfare of dairy cows by adjusting their nutrition, not only during lactation, but also highly specific to breed and age.
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spelling pubmed-97134802022-12-02 Non-linear change in body condition score over lifetime is associated with breed in dairy cows in Germany Zablotski, Yury Knubben-Schweizer, Gabriela Hoedemaker, Martina Campe, Amely Müller, Kerstin Merle, Roswitha Dopfer, Dorte Oehm, Andreas W. Vet Anim Sci Article Optimal body condition is crucial for the well-being and optimal productivity of dairy cows. However, body condition depends on numerous, often interacting factors, with complex relationships between them. Moreover, most of the studies describe the body condition in Holstein cattle, while condition of some breeds, e.g. Simmental (SIM) and Brown Swiss (BS) cattle, have not been intensively studied yet. Body condition score (BCS) proved to be one of the most effective measures for monitoring body condition in dairy cows. Alterations in BCS were previously mainly studied over a single lactation period, while changes over the lifetime were largely ignored. This study was designed to report BCS of German SIM and BS cows in the light of the broadly accepted BCS in German Holstein (GH) cows and to explore patterns of change in BCS over the productive lifetime of animals. BCS was modeled via linear mixed effects regression, over- and undercondition of animals were studied using mixed effects logistic regressions and condition of animals was explored with the multinomial log-linear model via neural networks. All models included an interaction between breed and age. We found BCS of SIM and BS to be higher than BCS of GH. Our results show that BCS of BS cows did not change over the lifetime. In contrast, the BCS of GH and SIM was found to have a non-linear (quadratic) shape, where BCS increased up to the years of highest productivity and then decreased in aging cows. Patterns of change between SIM and GH, however, differed. GH do not only reach their highest BCS earlier in life compared to SIM, but also start to lose their body condition earlier. Our dataset revealed that 23% of the animals scored were over- and 14% underconditioned. The proportion of cows that were overconditioned was high (>10% of cows) for every breed and every age, while severe underconditioning (>10% of cows) occurred only in middle aged and old GH. Moreover, we found that the probability of underconditioning of animals over lifetime increases, while the overconditioning decreases from the middle to older ages. Our findings highlight the importance of understanding the non-linear nature of BCS, and uncover the potential opportunity for improving the performance and welfare of dairy cows by adjusting their nutrition, not only during lactation, but also highly specific to breed and age. Elsevier 2022-11-28 /pmc/articles/PMC9713480/ /pubmed/36466360 http://dx.doi.org/10.1016/j.vas.2022.100275 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Zablotski, Yury
Knubben-Schweizer, Gabriela
Hoedemaker, Martina
Campe, Amely
Müller, Kerstin
Merle, Roswitha
Dopfer, Dorte
Oehm, Andreas W.
Non-linear change in body condition score over lifetime is associated with breed in dairy cows in Germany
title Non-linear change in body condition score over lifetime is associated with breed in dairy cows in Germany
title_full Non-linear change in body condition score over lifetime is associated with breed in dairy cows in Germany
title_fullStr Non-linear change in body condition score over lifetime is associated with breed in dairy cows in Germany
title_full_unstemmed Non-linear change in body condition score over lifetime is associated with breed in dairy cows in Germany
title_short Non-linear change in body condition score over lifetime is associated with breed in dairy cows in Germany
title_sort non-linear change in body condition score over lifetime is associated with breed in dairy cows in germany
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713480/
https://www.ncbi.nlm.nih.gov/pubmed/36466360
http://dx.doi.org/10.1016/j.vas.2022.100275
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