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Thinh Tuan Chu

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

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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 et al.

In: Genetics Selection Evolution, Vol. 50, 52, 03.11.2018.

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@article{0b0cfcd1528e42ce9c6f89fd94b3edf1,
title = "Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken",
abstract = "Background: A breeding program for commercial broiler chicken that is carried out under strict biosecure conditionscan 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 ofbreeding values of selection candidates using sib-testing in C is low. Genomic prediction based on dense geneticmarkers may improve accuracy of selection. Stochastic simulation was used to explore the benefits of genomic selectionin breeding schemes for broiler chicken that include birds in both B and C for assessment of phenotype.Results: When genetic correlations ( rg ) between traits measured in B and C were equal to 0.5 and 0.7, breedingschemes with 15, 30 and 45% of birds assessed in C resulted in higher genetic gain for performance in C comparedto those without birds in C. The optimal proportion of birds phenotyped in C for genetic gain was 30%. When theproportion of birds in C was optimal and genotyping effort was limited, allocating 30% of the genotyping effort tobirds in C was also the optimal genotyping strategy for genetic gain. When rg was equal to 0.9, genetic gain for performancein C was not improved with birds in C compared to schemes without birds in C. Increasing the heritability oftraits assessed in C increased genetic gain significantly. Rates of inbreeding decreased when the proportion of birdsin C increased because of a lower selection intensity among birds retained in B and a reduction in the probability ofco-selecting close relatives.Conclusions: If G × E interactions ( rg of 0.5 and 0.7) are strong, a genomic selection scheme in which 30% of thebirds hatched are phenotyped in C has larger genetic gain for performance in C compared to phenotyping all birds inB. Rates of inbreeding decreased as the proportion of birds moved to C increased from 15 to 45%.",
author = "Chu, {Thinh T} and Alemu, {Setegn W} and Elise Norberg and S{\o}rensen, {Anders C} and John Henshall and Rachel Hawken and Just Jensen",
year = "2018",
month = nov,
day = "3",
doi = "10.1186/s12711-018-0430-x",
language = "English",
volume = "50",
journal = "Genetics Selection Evolution",
issn = "0999-193X",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken

AU - Chu, Thinh T

AU - Alemu, Setegn W

AU - Norberg, Elise

AU - Sørensen, Anders C

AU - Henshall, John

AU - Hawken, Rachel

AU - Jensen, Just

PY - 2018/11/3

Y1 - 2018/11/3

N2 - Background: A breeding program for commercial broiler chicken that is carried out under strict biosecure conditionscan 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 ofbreeding values of selection candidates using sib-testing in C is low. Genomic prediction based on dense geneticmarkers may improve accuracy of selection. Stochastic simulation was used to explore the benefits of genomic selectionin breeding schemes for broiler chicken that include birds in both B and C for assessment of phenotype.Results: When genetic correlations ( rg ) between traits measured in B and C were equal to 0.5 and 0.7, breedingschemes with 15, 30 and 45% of birds assessed in C resulted in higher genetic gain for performance in C comparedto those without birds in C. The optimal proportion of birds phenotyped in C for genetic gain was 30%. When theproportion of birds in C was optimal and genotyping effort was limited, allocating 30% of the genotyping effort tobirds in C was also the optimal genotyping strategy for genetic gain. When rg was equal to 0.9, genetic gain for performancein C was not improved with birds in C compared to schemes without birds in C. Increasing the heritability oftraits assessed in C increased genetic gain significantly. Rates of inbreeding decreased when the proportion of birdsin C increased because of a lower selection intensity among birds retained in B and a reduction in the probability ofco-selecting close relatives.Conclusions: If G × E interactions ( rg of 0.5 and 0.7) are strong, a genomic selection scheme in which 30% of thebirds hatched are phenotyped in C has larger genetic gain for performance in C compared to phenotyping all birds inB. Rates of inbreeding decreased as the proportion of birds moved to C increased from 15 to 45%.

AB - Background: A breeding program for commercial broiler chicken that is carried out under strict biosecure conditionscan 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 ofbreeding values of selection candidates using sib-testing in C is low. Genomic prediction based on dense geneticmarkers may improve accuracy of selection. Stochastic simulation was used to explore the benefits of genomic selectionin breeding schemes for broiler chicken that include birds in both B and C for assessment of phenotype.Results: When genetic correlations ( rg ) between traits measured in B and C were equal to 0.5 and 0.7, breedingschemes with 15, 30 and 45% of birds assessed in C resulted in higher genetic gain for performance in C comparedto those without birds in C. The optimal proportion of birds phenotyped in C for genetic gain was 30%. When theproportion of birds in C was optimal and genotyping effort was limited, allocating 30% of the genotyping effort tobirds in C was also the optimal genotyping strategy for genetic gain. When rg was equal to 0.9, genetic gain for performancein C was not improved with birds in C compared to schemes without birds in C. Increasing the heritability oftraits assessed in C increased genetic gain significantly. Rates of inbreeding decreased when the proportion of birdsin C increased because of a lower selection intensity among birds retained in B and a reduction in the probability ofco-selecting close relatives.Conclusions: If G × E interactions ( rg of 0.5 and 0.7) are strong, a genomic selection scheme in which 30% of thebirds hatched are phenotyped in C has larger genetic gain for performance in C compared to phenotyping all birds inB. Rates of inbreeding decreased as the proportion of birds moved to C increased from 15 to 45%.

U2 - 10.1186/s12711-018-0430-x

DO - 10.1186/s12711-018-0430-x

M3 - Journal article

C2 - 30390619

VL - 50

JO - Genetics Selection Evolution

JF - Genetics Selection Evolution

SN - 0999-193X

M1 - 52

ER -