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Investigating pig survival in different production phases using genomic models
Journal of Animal Science ( IF 3.3 ) Pub Date : 2021-07-20 , DOI: 10.1093/jas/skab217
Natália Galoro Leite 1 , Egbert Frank Knol 2 , André Luiz Seccatto Garcia 1 , Marcos Soares Lopes 3 , Louisa Zak 2 , Shogo Tsuruta 1 , Fabyano Fonseca E Silva 4 , Daniela Lourenco 1
Affiliation  

Pig survival is an economically important trait with relevant social welfare implications, thus standing out as an important selection criterion for the current pig farming system. We aimed to estimate (co)variance components for survival in different production phases in a crossbred pig population as well as to investigate the benefit of including genomic information through single-step genomic best linear unbiased prediction (ssGBLUP) on the prediction accuracy of survival traits compared with results from traditional BLUP. Individual survival records on, at most, 64,894 crossbred piglets were evaluated under two multi-trait threshold models. The first model included farrowing, lactation, and combined postweaning survival, whereas the second model included nursery and finishing survival. Direct and maternal breeding values were estimated using BLUP and ssGBLUP methods. Furthermore, prediction accuracy, bias, and dispersion were accessed using the linear regression validation method. Direct heritability estimates for survival in all studied phases were low (from 0.02 to 0.08). Survival in preweaning phases (farrowing and lactation) was controlled by the dam and piglet additive genetic effects, although the maternal side was more important. Postweaning phases (nursery, finishing, and the combination of both) showed the same or higher direct heritabilities compared with preweaning phases. The genetic correlations between survival traits within preweaning and postweaning phases were favorable and strong, but correlations between preweaning and postweaning phases were moderate. The prediction accuracy of survival traits was low, although it increased by including genomic information through ssGBLUP compared with the prediction accuracy from BLUP. Direct and maternal breeding values were similarly accurate with BLUP, but direct breeding values benefited more from genomic information. Overall, a slight increase in bias was observed when genomic information was included, whereas dispersion of breeding values was greatly reduced. Combined postweaning survival presented higher direct heritability than in the preweaning phases and the highest prediction accuracy among all evaluated production phases, therefore standing out as a candidate trait for improving survival. Survival is a complex trait with low heritability; however, important genetic gains can still be obtained, especially under a genomic prediction framework.

中文翻译:

使用基因组模型研究猪在不同生产阶段的存活率

猪的存活率是具有相关社会福利意义的重要经济性状,因此成为当前养猪系统的重要选择标准。我们旨在估计杂交猪群中不同生产阶段的生存(共)方差分量,并研究通过单步基因组最佳线性无偏预测 (ssGBLUP) 纳入基因组信息对生存性状预测准确性的益处与传统 BLUP 的结果相比。在两个多性状阈值模型下评估了最多 64,894 头杂交仔猪的个体生存记录。第一个模型包括分娩、哺乳和断奶后生存,而第二个模型包括保育和育成生存。使用 BLUP 和 ssGBLUP 方法估计直接和母系育种值。此外,使用线性回归验证方法访问预测准确性、偏差和离散度。所有研究阶段生存的直接遗传力估计值都很低(从 0.02 到 0.08)。断奶前阶段(分娩和哺乳)的存活受母猪和仔猪加性遗传效应的控制,尽管母体方面更为重要。与断奶前阶段相比,断奶后阶段(育苗期、育肥期和两者的组合)显示出相同或更高的直接遗传力。断奶前和断奶后阶段存活性状之间的遗传相关性良好且强,但断奶前和断奶后阶段之间的相关性中等。生存性状预测准确率低,尽管与 BLUP 的预测准确性相比,它通过 ssGBLUP 包含基因组信息而增加。BLUP 的直接和母系育种值同样准确,但直接育种值更多地受益于基因组信息。总体而言,当包含基因组信息时,观察到偏差略有增加,而育种值的分散则大大降低。联合断奶后存活率比断奶前阶段表现出更高的直接遗传力,并且在所有评估的生产阶段中具有最高的预测准确性,因此作为提高存活率的候选性状脱颖而出。生存是一种复杂性状,遗传力低;然而,仍然可以获得重要的遗传收益,特别是在基因组预测框架下。
更新日期:2021-07-20
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