Camargo-Júnior Raimundo Nonato Colares, de Araújo Cláudio Vieira, de Souza Teixeira Caio, de Araújo Simone Inoe, Lôbo Raysildo Barbosa, Nakabashi Lílian Roberta Matimoto, Mendes de Castro Letícia M, Menezes Flávio Luiz, Maciel E Silva André Guimarães, Marques José Ribamar Felipe, Silva Welligton Conceição da, Della Flora Marco Aurélio Lopes, de Menezes Chalkidis Hipócrates, Sousa Carlos Eduardo Lima, da Silva Éder Bruno Rebelo, Silva Jamile Andréa Rodrigues da, de Brito Lourenço-Júnior José
Postgraduate Program in Animal Science (PPGCAN) of the Federal University of Pará (UFPA), Castanhal, Pará, Brazil.
Federal University of Mato Grosso (UFMT), Sinop, Mato Grosso, Brazil.
Trop Anim Health Prod. 2025 Jun 16;57(6):272. doi: 10.1007/s11250-025-04516-2.
The aim of this study was to evaluate the genotype-environment interaction and its impact on the genetic evaluation of sires for body weight traits in Nellore cattle. Records of standardized weights at 120 (W120), 210 (W210), 365 (W365), and 450 (W450) days of age were used for 28,570 Nelore cattle, the progeny of 179 sires and 17,998 dams from herds in the states of Mato Grosso, Mato Grosso do Sul, and Goiás. The months of birth of animals were grouped into seasons that corresponded to the months with the lowest and highest rainfall. The variance components and prediction of breeding values of the animals were estimated. As a result, the posterior means of additive genetic variance components for W120 and W210 were higher in Mato Grosso compared to Mato Grosso do Sul and Goiás and which single-trait model. Posterior means of direct heritability's for W120 and W210 were higher in Mato Grosso. Regarding yearly (W365) and yearling (W450) weights, the posterior means of the additive genetic variance components for Goiás were higher than those for Mato Grosso and Mato Grosso do Sul and for the single-trait model. The state of Mato Grosso, in turn, was the one that presented the posterior mean of the higher residual variance component for W450. Posterior regression coefficients for W120 and W210 indicated that the breeding values of the sires were underestimated by the single-trait model in the state of Mato Grosso. Spearman's and additive genetic correlation coefficient values indicated changes between the ranking of sires for body weights, especially between Mato Grosso (MT) and Mato Grosso do Sul (MS). It is concluded that there is a presence of GxE on the selection criteria for the weight development of Nelore cattle in the Midwest Region of Brazil.
本研究的目的是评估基因型与环境的相互作用及其对肉牛体重性状种公牛遗传评估的影响。对来自马托格罗索州、南马托格罗索州和戈亚斯州牛群的28570头肉牛进行了记录，这些牛是179头种公牛和17998头母牛的后代，记录了它们在120日龄（W120）、210日龄（W210）、365日龄（W365）和450日龄（W450）时的标准化体重。动物的出生月份被分组为对应降雨量最低和最高月份的季节。估计了动物的方差分量和育种值预测。结果显示，与南马托格罗索州和戈亚斯州相比，马托格罗索州W120和W210的加性遗传方差分量的后验均值更高，且采用单性状模型。马托格罗索州W120和W210的直接遗传力后验均值更高。关于周岁（W365）和一岁龄（W450）体重，戈亚斯州的加性遗传方差分量后验均值高于马托格罗索州和南马托格罗索州，且采用单性状模型。反过来，马托格罗索州是W450剩余方差分量后验均值较高的州。W120和W210的后验回归系数表明，单性状模型低估了马托格罗索州种公牛的育种值。斯皮尔曼相关性和加性遗传相关系数值表明，体重种公牛排名之间存在变化，特别是在马托格罗索州（MT）和南马托格罗索州（MS）之间。得出的结论是，巴西中西部地区肉牛体重发育的选择标准存在基因型与环境的相互作用。
