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

机译:在商用肉鸡的基因组选择育种计划中在生物安全和生产环境中进行测试的好处

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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. When genetic correlations ( $$r_{g}$$ r g ) 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 $$r_{g}$$ r g 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. If G × E interactions ( $$r_{g}$$ r g 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%.
机译:在严格的生物安全条件下进行的商业肉鸡育种程序,由于生物安全(B)和商业生产(C)环境之间的环境相互作用(G×E)的基因型,可显示出遗传增益降低。基于表型的最佳线性无偏预测使用C中的同胞检验进行选择候选物的育种值的准确性较低。基于密集遗传标记的基因组预测可以提高选择的准确性。随机模拟被用来探讨基因组选择在肉鸡育种方案中的好处,该方案包括B和C禽类以评估表型。当B和C测得的性状之间的遗传相关性($$ r_ {g} $$ rg)分别为0.5和0.7时,用C评估的15、30和45%的家禽的育种方案会提高在C上表现的遗传增益C与没有C的鸟类相比。在C的表型中遗传获得遗传的鸟类的最佳比例为30%。当鸟类在碳中的比例达到最佳并且基因分型工作受到限制时,将30%的基因分型工作分配给碳中的鸟类也是遗传获取的最佳基因分型策略。当$ r_ {g} $$ r g等于0.9时,与没有C鸟的计划相比,在C鸟的计划中C表现的遗传增益没有改善。提高C评估的性状的遗传力会显着提高遗传收益。当C中的鸟类比例增加时,近亲繁殖率下降,这是因为在B中保留的鸟类中较低的选择强度以及共生近亲的可能性降低。如果G×E相互作用($ r_ {g} $$ rg分别为0.5和0.7)很强,则与表型相比,其中30%的孵化鸟类在C中表型的基因组选择方案具有更高的遗传增益B中的所有鸟类。近亲繁殖率随着移到C中的鸟类比例从15%上升到45%而降低。

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