Genome‐enable prediction for health traits using high‐density SNP panel in US Holstein cattle

The objective of this study was to compare accuracies of different Bayesian regression models in predicting molecular breeding values for health traits in Holstein cattle. The dataset was composed of 2505 records reporting the occurrence of retained fetal membranes (RFM), metritis (MET), mastitis (M...

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Detalles Bibliográficos
Autores principales: Lopes, F., Rosa, G., Pinedo, P., Santos, J. E. P, Chebel, R. C., Galvao, K. N., Schuenemann, G. M., Bicalho, R. C., Gilbert, R. O., Rodrigez‐Zas, S., Seabury, C. M., Thatcher, W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065151/
https://www.ncbi.nlm.nih.gov/pubmed/31909828
http://dx.doi.org/10.1111/age.12892

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065151/
https://www.ncbi.nlm.nih.gov/pubmed/31909828
http://dx.doi.org/10.1111/age.12892

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