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Validation of genomic predictions for body weight in broilers using crossbred information and considering breed-of-origin of alleles

机译:使用杂交信息验证肉鸡体重的基因组预测,并考虑等位基因繁殖

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Pig and poultry breeding programs aim at improving crossbred (CB) performance. Selection response may be suboptimal if only purebred (PB) performance is used to compute genomic estimated breeding values (GEBV) because the genetic correlation between PB and CB performance ($$r_{pc}$$) is often lower than 1. Thus, it may be beneficial to use information on both PB and CB performance. In addition, the accuracy of GEBV of PB animals for CB performance may improve when the breed-of-origin of alleles (BOA) is considered in the genomic relationship matrix (GRM). Thus, our aim was to compare scenarios where GEBV are computed and validated by using (1) either CB offspring averages or individual CB records for validation, (2) either a PB or CB reference population, and (3) a GRM that either accounts for or ignores BOA in the CB individuals. For this purpose, we used data on body weight measured at around 7 (BW7) or 35 (BW35) days in PB and CB broiler chickens and evaluated the accuracy of GEBV based on the correlation GEBV with phenotypes in the validation population (validation correlation). With validation on CB offspring averages, the validation correlation of GEBV of PB animals for CB performance was lower with a CB reference population than with a PB reference population for BW35 ($$r_{pc}$$ = 0.96), and about equal for BW7 ($$r_{pc}$$ = 0.80) when BOA was ignored. However, with validation on individual CB records, the validation correlation was higher with a CB reference population for both traits. The use of a GRM that took BOA into account increased the validation correlation for BW7 but reduced it for BW35. We argue that the benefit of using a CB reference population for genomic prediction of PB animals for CB performance should be assessed either by validation on CB offspring averages, or by validation on individual CB records while using a GRM that accounts for BOA in the CB individuals. With this recommendation in mind, our results show that the accuracy of GEBV of PB animals for CB performance was equal to or higher with a CB reference population than with a PB reference population for a trait with an $$r_{pc}$$ of 0.8, but lower for a trait with an $$r_{pc}$$ of 0.96. In addition, taking BOA into account was beneficial for a trait with an $$r_{pc}$$ of 0.8 but not for a trait with an $$r_{pc}$$ of 0.96.
机译:猪和家禽育种计划旨在改善杂交(CB)性能。如果仅用于计算基因组估计的繁殖值(GEBV),则选择响应可能是次优,因为PB和CB性能之间的遗传相关性($$ r_ {pc} $$)通常低于1.因此,使用有关PB和CB性能的信息可能是有益的。此外,当在基因组关系矩阵(GRM)中考虑等位基因源性(BOA)的种类源性时,PB动物的GEBV的准确性可以改善。因此,我们的目标是通过使用(1)使用(1)用于验证的CB后代平均值或单个CB记录来比较GeBV和验证的场景,(2)PB或CB参考群体,以及(3)帐户的GM在CB个人中忽略蟒蛇。为此目的,我们在PB和CB肉鸡鸡的7(BW7)或35(BW35)天约为7(BW7)或35天(BW35)天中测量的数据,并根据验证群体中的表型(验证相关),评估GEBV的准确性(验证相关性) 。通过验证CB后代平均值,PB动物GEBV对CB性能的验证相关性较低,CB参考种群比BW35的PB参考群($$ r_ {pc} $$ = 0.96),以及大约相等BW7($$ r_ {pc} $$ = 0.80)忽略蟒蛇。但是,通过对单个CB记录的验证,验证相关性与两个特征的CB参考群更高。使用将蟒蛇的GRM介绍增加BW7的验证相关性,但为BW35减少了它。我们认为,应通过对CB后代平均值的验证来评估使用CB绩效的CB动物基因组预测的CB参考群体的益处,或者在使用CB个体中占BOA的GRM的同时,通过验证验证。 。通过这项建议,我们的结果表明,CB表现为CB性能的PB动物的GEBV的准确性等于或更高,而CB参考种群比具有$$ R_ {PC} $$的特征的PB参考群体0.8,但具有0.96美元的$$ r_ {pc} $ 0.96的特征降低。此外,考虑到蟒蛇的蟒蛇是有益的,它是一个有0.8美元的$$ r_ {pc} $ 0.8的特征,但不适用于$$ r_ {pc} $ 0.96的特征。

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