Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken

Autor: John M. Henshall, E. Norberg, Anders Christian Sørensen, Rachel Hawken, Just Jensen, Setegn Worku Alemu, Thinh Tuan Chu
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2018, 50 (1), pp.52. ⟨10.1186/s12711-018-0430-x⟩
Chu, T T, Alemu, S W, Norberg, E, Sørensen, A C, Henshall, J, Hawken, R & Jensen, J 2018, ' Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken ', Genetics Selection Evolution, vol. 50, 52 . https://doi.org/10.1186/s12711-018-0430-x
Genetics Selection Evolution, 50(1)
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution 50 (2018) 1
Genetics Selection Evolution, Vol 50, Iss 1, Pp 1-13 (2018)
ISSN: 0999-193X
1297-9686
Popis: Background A breeding program for commercial broiler chicken that is carried out under strict biosecure conditions can show reduced genetic gain due to genotype by environment interactions (G × E) between bio-secure (B) and commercial production (C) environments. Accuracy of phenotype-based best linear unbiased prediction of breeding values of selection candidates using sib-testing in C is low. Genomic prediction based on dense genetic markers may improve accuracy of selection. Stochastic simulation was used to explore the benefits of genomic selection in breeding schemes for broiler chicken that include birds in both B and C for assessment of phenotype. Results When genetic correlations (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$r_{g}$$\end{document}rg) between traits measured in B and C were equal to 0.5 and 0.7, breeding schemes with 15, 30 and 45% of birds assessed in C resulted in higher genetic gain for performance in C compared to those without birds in C. The optimal proportion of birds phenotyped in C for genetic gain was 30%. When the proportion of birds in C was optimal and genotyping effort was limited, allocating 30% of the genotyping effort to birds in C was also the optimal genotyping strategy for genetic gain. When \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$r_{g}$$\end{document}rg was equal to 0.9, genetic gain for performance in C was not improved with birds in C compared to schemes without birds in C. Increasing the heritability of traits assessed in C increased genetic gain significantly. Rates of inbreeding decreased when the proportion of birds in C increased because of a lower selection intensity among birds retained in B and a reduction in the probability of co-selecting close relatives. Conclusions If G × E interactions (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$r_{g}$$\end{document}rg of 0.5 and 0.7) are strong, a genomic selection scheme in which 30% of the birds hatched are phenotyped in C has larger genetic gain for performance in C compared to phenotyping all birds in B. Rates of inbreeding decreased as the proportion of birds moved to C increased from 15 to 45%.
Databáze: OpenAIRE
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