Accounting for genetic architecture for body weight improves accuracy of predicting breeding values in a commercial line of broilers
Author:
Affiliation:
1. Center for Quantitative Genetics and Genomics Aarhus University Tjele Denmark
2. Faculty of Animal Science Vietnam National University of Agriculture Gia Lam Vietnam
3. Cobb‐Vantress Inc. Siloam Springs AR USA
Publisher
Wiley
Subject
Animal Science and Zoology,Food Animals,General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbg.12546
Reference37 articles.
1. Effect of different genomic relationship matrices on accuracy and scale1
2. Correction to: Use of genomic information to exploit genotype-by-environment interactions for body weight of broiler chicken in bio-secure and production environments
3. Genetic analysis on body weight at different ages in broiler chicken raised in commercial environment
4. Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds
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1. Genetic parameter estimation and genetic evaluation of important economic traits in white and yellow broilers;British Poultry Science;2024-09-09
2. Improving the accuracy of genomic prediction for meat quality traits using whole genome sequence data in pigs;Journal of Animal Science and Biotechnology;2023-05-10
3. 275. Comparison of genomic prediction methods for residual feed intake in broilers;Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP);2022-12-31
4. Comparison of genomic prediction methods for residual feed intake in broilers;Animal Genetics;2022-03-15
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