基因组预测能力使用线性和值方法用于Nellore雌性不同稳定性定义
Letícia Silva Pereira1, Larissa Bordin Temp2, Eduarda da Silva Oliveira2
1National Association of Breeders and Researchers (ANCP), Ribeirão Preto, São Paulo, Brazil.
概括
用值模型估计牛稳定性 (STAY) 的基因组预测,其表现优于线性模型. 根据STAY48的定义,至少需要两个或三个小牛,在Nellore牛中显示出最一致的基因评估表现.
科学领域:
- 动物遗传学动物遗传学
- 量化遗传学 量化遗传学
- 生殖生物学 生殖生物学
背景情况:
- 通过分娩提高雌性寿命可以改善群体的替代性,并降低与低生殖效率相关的成本.
- 稳定性 (STAY) 是一种分类特征,定义为牛保持生产力的能力,由于其非正常分布,对传统遗传评估构成挑战.
研究的目的:
- 根据特定年龄段的分娩数量,估计Nellore雌性不同STAY定义的基因组预测.
- 使用线性回归 (LR) 方法,比较线性和值模型对STAY的预测能力.
主要方法:
- 分析了187个内罗尔群的表型和基因型数据.
- 评估了四个STAY定义 (STAY48-2,STAY48-3,STAY54-2,STAY54-3,STAY72-3) 进行了评估.
- 基因组估计的繁殖值 (GEBV) 采用无变线性和值模型 (BLUPF90) 获得,其中差异组分从责任转换为观察规模.
主要成果:
- 对STAY的遗传概率估计在0.16至0.22 (责任量级) 和0.07至0.09 (观察量级) 之间.
- 值模型表现出比线性模型更好的预测能力,显示出更高的准确度 (0.531-0.698 vs. 0.451-0.532),更低的偏差 (-0.0004-0.008 vs. 0.027-0.096),以及更好的分散.
- 在评估的定义中,STAY48至少有两个或三个小牛表现最一致.
结论:
- 值模型比线性模型更有效,用于基因评估Nellore牛的稳定性.
- STAY48定义要求最小数量的产卵,这代表了改善长寿和生产力的遗传选择的有希望的标准.
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