Small Ruminant Research ( IF 1.8 ) Pub Date : 2021-06-05 , DOI: 10.1016/j.smallrumres.2021.106446 Elisa Junqueira Oliveira , Rodrigo Pelicioni Savegnago , Anielly de Paula Freitas , Luara Afonso de Freitas , Ana Carolina Almeida Rollo de Paz , Lenira El Faro , Flavia Fernanda Simili , Anibal Eugênio Vercesi Filho , Ricardo Lopes Dias da Costa , Claudia Cristina Paro de Paz
The objective of this study was to estimate genetic parameters between body weight and morphometric traits to choose selection criteria to improve genetically the body weight and body conformation using Bayesian inference. Body weight, body length, chest girth, croup height, croup width, withers height, and body condition score of 645 Santa Ines meat sheep were used to estimate the genetic parameters in a multi-trait animal model with Bayesian approach. The heritability estimates ranged from 0.19 ± 0.05 to 0.32 ± 0.07 (croup width and body condition score respectively), which allow them to respond to genetic selection. The genetic correlations between body weight and morphometric traits were positive and ranged from 0.18 ± 0.17 to 0.98 ± 0.02. The genetic correlation between body weight and chest girth (0.98 ± 0.02) indicates that selection based on one trait will result in genetic gain for the other. The body weight is the main selection criterion to increase the meat production via genetic selection of the animals due to its moderate heritability and moderate to high genetic correlation with the other traits studied. However, if calibrated electronic scales are not available for the sheep producers, they can use the morphometric measurements to carry out the selection of animals to result in indirect genetic gains for body weight. If the breeders want to choose only one morphometric trait to indirectly improve the genetic body weight, chest girth is recommended due to its extremely high genetic correlation with body weight. The next step would be to develop an index that takes into account all the morphometric measurements to use it as indirect indicator of body weight.
中文翻译:
使用贝叶斯推断的 Santa Ines 绵羊体重和形态特征的遗传参数
本研究的目的是估计体重和形态特征之间的遗传参数,以选择选择标准,使用贝叶斯推理从遗传上改善体重和身体构造。使用 645 只 Santa Ines 肉羊的体重、体长、胸围、臀部高度、臀部宽度、马肩隆高度和身体状况评分,用贝叶斯方法估计多性状动物模型中的遗传参数。遗传力估计范围从 0.19 ± 0.05 到 0.32 ± 0.07(分别为臀部宽度和身体状况评分),这使它们能够对遗传选择做出反应。体重与形态特征之间的遗传相关性为正,范围为 0.18 ± 0.17 至 0.98 ± 0.02。体重与胸围的遗传相关性(0.98±0. 02) 表明基于一种性状的选择将导致另一种性状的遗传增益。体重是通过动物的遗传选择来增加肉类产量的主要选择标准,因为它具有中等的遗传性以及与所研究的其他性状的中到高度的遗传相关性。然而,如果绵羊生产者无法使用校准的电子秤,他们可以使用形态测量来进行动物的选择,从而导致体重的间接遗传增益。如果饲养者只想选择一种形态特征来间接提高遗传体重,推荐胸围,因为它与体重的遗传相关性极高。