Eduarda da Silva Oliveira, Larissa Bordin Temp, Gabriel Gubiani, Miller Teodoro, Gustavo Roberto Dias Rodrigues, Maria Paula Marinho de Negreiros, Letícia Silva Pereira, Cláudio Ulhôa Magnabosco, Fernando Baldi
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引用次数: 0
Abstract
The calving ease (CE) trait has recently been introduced in animal breeding programs, and studies on its genetic variability have proven essential for the genetic advancement of animals. An increase in dystocia rates in primiparous heifers has been observed due to the birth of heavier calves. As this is a new trait, no established model exists for its analysis. Thus, this study developed different statistical models to evaluate CE, aiming to estimate genetic parameters and perform genomic predictions for this trait. A total of 39,664 records of CE from primiparous Nellore heifers born between 2010 and 2017 were collected, belonging to the animal breeding program of the Nellore breed in Brazil, managed by the National Association of Breeders and Researchers (ANCP, Ribeirão Preto, Brazil). The results showed that direct heritability estimates ranged from 0.11 to 0.24, while maternal heritability estimates ranged from 0.09 to 0.11. Despite these low to moderate heritability estimates, the trait has potential for direct selection. Models incorporating the heifer category (HC) (early or traditional) and birth weight (BW), as well as the dam age at calving (DAC) and BW, were more suitable for estimating variance components. On the other hand, the model that considered only the HC and the model that included the DAC excelled in predictive ability, making them more appropriate for genomic predictions.
产犊难(CE)性状最近被引入到动物育种计划中,其遗传变异的研究已被证明对动物的遗传进步至关重要。在初产母牛难产率的增加已被观察到,由于出生较重的小牛。由于这是一种新特征,没有现成的模型来分析它。因此,本研究开发了不同的统计模型来评估CE,旨在估计该性状的遗传参数并进行基因组预测。从2010年至2017年出生的初产Nellore小母牛中收集了总共39,664条CE记录,属于巴西Nellore品种的动物育种计划,由巴西国家育种者和研究人员协会(ANCP, ribebe o Preto, Brazil)管理。结果表明,直接遗传力估计范围为0.11 ~ 0.24,而母体遗传力估计范围为0.09 ~ 0.11。尽管这些低到中等的遗传率估计,性状有直接选择的潜力。结合小母牛类别(HC)(早期或传统)、初生重(BW)、产犊犊龄(DAC)和BW的模型更适合方差分量的估计。另一方面,只考虑HC的模型和包含DAC的模型在预测能力方面表现出色,使它们更适合基因组预测。
期刊介绍:
The Journal of Animal Breeding and Genetics publishes original articles by international scientists on genomic selection, and any other topic related to breeding programmes, selection, quantitative genetic, genomics, diversity and evolution of domestic animals. Researchers, teachers, and the animal breeding industry will find the reports of interest. Book reviews appear in many issues.