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

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 li...

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Autores principales: Chu, Thinh T., Alemu, Setegn W., Norberg, Elise, Sørensen, Anders C., Henshall, John, Hawken, Rachel, Jensen, Just
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215651/
https://www.ncbi.nlm.nih.gov/pubmed/30390619
http://dx.doi.org/10.1186/s12711-018-0430-x
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author Chu, Thinh T.
Alemu, Setegn W.
Norberg, Elise
Sørensen, Anders C.
Henshall, John
Hawken, Rachel
Jensen, Just
author_facet Chu, Thinh T.
Alemu, Setegn W.
Norberg, Elise
Sørensen, Anders C.
Henshall, John
Hawken, Rachel
Jensen, Just
author_sort Chu, Thinh T.
collection PubMed
description 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 ([Formula: see text] ) 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 [Formula: see text] 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 ([Formula: see text] 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%.
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spelling pubmed-62156512018-11-08 Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken Chu, Thinh T. Alemu, Setegn W. Norberg, Elise Sørensen, Anders C. Henshall, John Hawken, Rachel Jensen, Just Genet Sel Evol Research Article 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 ([Formula: see text] ) 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 [Formula: see text] 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 ([Formula: see text] 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%. BioMed Central 2018-11-03 /pmc/articles/PMC6215651/ /pubmed/30390619 http://dx.doi.org/10.1186/s12711-018-0430-x Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Chu, Thinh T.
Alemu, Setegn W.
Norberg, Elise
Sørensen, Anders C.
Henshall, John
Hawken, Rachel
Jensen, Just
Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken
title Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken
title_full Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken
title_fullStr Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken
title_full_unstemmed Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken
title_short Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken
title_sort benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215651/
https://www.ncbi.nlm.nih.gov/pubmed/30390619
http://dx.doi.org/10.1186/s12711-018-0430-x
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