Departamento de Producción Animal, Facultad de Agronomía, Universidad de Buenos Aires, C1417DSQ Buenos Aires, Argentina.
CONICET-Universidad de Buenos Aires, Instituto de Investigaciones en Producción Animal (INPA), C1427CWO Buenos Aires, Argentina.
J Anim Sci. 2021 Nov 1;99(11). doi: 10.1093/jas/skab289.
Inbreeding depression reduces the mean phenotypic value of important traits in livestock populations. The goal of this work was to estimate the level of inbreeding and inbreeding depression for growth and reproductive traits in Argentinean Brangus cattle, in order to obtain a diagnosis and monitor breed management. Data comprised 359,257 (from which 1,990 were genotyped for 40,678 single nucleotide polymorphisms [SNPs]) animals with phenotypic records for at least one of three growth traits: birth weight (BW), weaning weight (WW), and finishing weight (FW). For scrotal circumference (SC), 52,399 phenotypic records (of which 256 had genotype) were available. There were 530,938 animals in pedigree. Three methods to estimate inbreeding coefficients were used. Pedigree-based inbreeding coefficients were estimated accounting for missing parents. Inbreeding coefficients combining genotyped and nongenotyped animal information were also computed from matrix H of the single-step approach. Genomic inbreeding coefficients were estimated using homozygous segments obtained from a Hidden Markov model (HMM) approach. Inbreeding depression was estimated from the regression of the phenotype on inbreeding coefficients in a multiple-trait mixed model framework, either for the whole dataset or for the dataset of genotyped animals. All traits were unfavorably affected by inbreeding depression. A 10% increase in pedigree-based or combined inbreeding would result in a reduction of 0.34 to 0.39 kg in BW, 2.77 to 3.28 kg in WW, and 0.23 cm in SC. For FW, a 10% increase in pedigree-based, genomic, or combined inbreeding would result in a decrease of 8.05 to 11.57 kg. Genomic inbreeding based on the HMM was able to capture inbreeding depression, even in such a compressed genotyped dataset.
近亲繁殖会降低家畜群体中重要性状的平均表型值。本研究的目的是估计阿根廷布兰卡牛的生长和繁殖性状的近交程度和近交衰退程度,以便对品种管理进行诊断和监测。数据包括 359257 头(其中 1990 头在 40678 个单核苷酸多态性 [SNP] 上进行了基因分型)动物,这些动物至少有一个以下三个生长性状的表型记录:初生重(BW)、断奶重(WW)和育肥重(FW)。对于阴囊周长(SC),有 52399 个表型记录(其中 256 个有基因型)。系谱中有 530938 头动物。使用了三种方法来估计近交系数。基于系谱的近交系数是在考虑缺失父母的情况下估计的。还使用单步法矩阵 H 从基因分型和非基因分型动物信息中计算了结合的近交系数。使用从隐马尔可夫模型(HMM)方法获得的纯合片段估计了基因组近交系数。通过多元混合模型框架中的近交系数回归来估计近交衰退,该框架适用于整个数据集或基因分型动物数据集。所有性状都受到近交衰退的不利影响。基于系谱或结合的近交系数增加 10%,BW 会减少 0.34 至 0.39 公斤,WW 会减少 2.77 至 3.28 公斤,SC 会减少 0.23 厘米。对于 FW,基于系谱、基因组或结合的近交系数增加 10%,会导致 BW 减少 8.05 至 11.57 公斤。基于 HMM 的基因组近交系数能够捕捉到近交衰退,即使在如此压缩的基因分型数据集中也是如此。