期刊
CANADIAN JOURNAL OF ANIMAL SCIENCE
卷 -, 期 -, 页码 -出版社
CANADIAN SCIENCE PUBLISHING
DOI: 10.1139/CJAS-2022-0013
关键词
conformation; Holstein cattle; Pro$; multiple polynomial regression; principal component
资金
- Agriculture and Agri-Food Canada (Ottawa, Canada)
- Dairy Farmers of Canada (Ottawa, Canada)
- Lactanet (Guelph, Canada)
- Canadian Dairy Commission (Ottawa, Canada) under the Agri-Science Clusters Initiative
- Natural Sciences and Engineering Research Council of Canada
- Canada Research Chair program
This study assessed the association of 26 conformation traits with Pro$ using multiple polynomial regression and principal component analysis. The results showed that heel depth and body depth had the highest and lowest effect on Pro$ values, respectively, while traits like teat length showed a significant linear association with Pro$. The study provides important information for guiding the Canadian dairy industry on how to consider conformation traits in recording and genetic evaluation programs.
Pro$ is a Canadian economic selection index aimed to maximize profit by increasing production yields, while maintaining conformation and functional traits. Currently, there is an interest in understanding the individual contributions of conforma-tion traits recorded in Canada to the overall economic value of a cow and whether they are equally important. We used multiple polynomial regression and principal component analysis to assess the association of 26 conformation traits with Pro$ using relative breeding values (RBVs) from 9351 proven bulls. The best reduced regression model explained 72.5% of the variance in Pro$, with heel depth and body depth having the highest and lowest effect on Pro$ values, respectively. Four traits classified as intermediate optimum traits, e.g., teat length, showed significant linear association with Pro$ instead of quadratic, whereas bone quality was not significantly associated with the index. Principal component analysis indicated that highly profitable bulls share similar RBV, with a subclustering of bulls of daughters with better mammary system versus better dairy strength and feet and legs. These results provide understanding of the individual contributions of conformation traits to Pro$ and give information to guide the Canadian dairy industry on how to best consider these traits in recording and genetic evaluation programs.
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