Machine learning methods for genomic prediction of cow behavioral traits measured by automatic milking systems in North American Holstein cattle-Reference-Cited by-同舟云学术

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Machine learning methods for genomic prediction of cow behavioral traits measured by automatic milking systems in North American Holstein cattle

Published:2024-07 Issue:7 Volume:107 Page:4758-4771
ISSN:0022-0302
Container-title:Journal of Dairy Science
language:en
Short-container-title:Journal of Dairy Science

Author:

Pedrosa Victor B.^ORCID,Chen Shi-Yi^ORCID,Gloria Leonardo S.^ORCID,Doucette Jarrod S.^ORCID,Boerman Jacquelyn P.^ORCID,Rosa Guilherme J.M.^ORCID,Brito Luiz F.^ORCID

Funder

USDA NIFA

Publisher

American Dairy Science Association

Reference69 articles.

1. TensorFlow: A system for large-scale machine learning;Abadi,2016

2. Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes;Abdollahi-Arpanahi;Genet. Sel. Evol.,2020

3. Can deep learning improve genomic prediction of complex human traits?;Bellot;Genetics,2018

4. Comparison of methods used to identify superior individuals in genomic selection in plant breeding;Bhering;Genet. Mol. Res.,2015

5. A genetic algorithm-assisted deep learning approach for crop yield prediction;Bi;Soft Comput.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A systematic review with meta‐analysis of heritability estimates for temperament‐related traits in beef and dairy cattle populations;Journal of Animal Breeding and Genetics;2024-05-29

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