Hein L, Thomasen J R, Kargo M, Nielsen H M, Bouquet A, Liu H
Aarhus University, Center for Quantitative Genetics and Genomics, 8000 Aarhus, Denmark.
Aarhus University, Center for Quantitative Genetics and Genomics, 8000 Aarhus, Denmark; Viking Genetics, 8960 Randers, Denmark.
J Dairy Sci. 2025 Sep;108(9):9946-9955. doi: 10.3168/jds.2024-26200. Epub 2025 Jul 16.
Mating decisions in dairy cattle are traditionally based on pedigree information. However, genomic information offers the potential to minimize inbreeding and increase heterozygosity in mating decisions by providing more precise estimates of the expected heterozygosity (eHe) and realized heterozygosity (rHe) compared to pedigree information. The underlying hypothesis is that increased heterozygosity in dairy cattle heifers results in a larger dominance effect and reduced inbreeding depression in purebred cattle. The aim of this study was to estimate the size of eHe and rHe using information from SNP markers. We assessed the effect of increased heterozygosity on milk, fat, and protein yields; overall conformation score for body, legs, and udder; milkability, and functional traits included in Nordic Total Merit Index in Holstein (HOL), Red Dairy Cattle (RDC), and Jersey (JER) cows. We calculated eHe SNP by SNP for all pairs of genotyped parents, and genome-wide eHe was determined as the mean heterozygosity across all SNPs. Pedigree inbreeding was also computed by tracing the pedigree back for 5 generations. Data from 5,423 HOL, 2,245 RDC, and 5,975 JER genotyped cows born in 2015, 2016, and 2017 were analyzed. The parents of all these cows were genotyped. Mean eHe and rHe levels were both 0.328 for HOL, 0.336 for RDC and 0.308 for JER, with SD between 0.007 and 0.008 for eHe and between 0.009 and 0.012 for rHe. Results indicated a significant effect of eHe, rHe, and pedigree inbreeding on milk, fat, and protein yields across all breeds. For HOL, a 1 percentage-point increase in eHe corresponded to an increase in 305-d yield of 125 kg of milk, 2.74 kg of fat, and 3.52 kg of protein. For RDC, the corresponding increases were 100 kg of milk, 2.96 kg of fat, and 2.88 kg of protein. For JER the effects were 53 kg of milk, 3.63 kg of fat and 2.35 kg of protein per heterozygosity percentage point. While effects of eHe were observed on conformation and functional traits, these effects were only significant for a subset of these traits. These findings suggest that incorporating eHe into mating decisions could enhance productivity and should be considered in breeding strategies.
传统上,奶牛的配种决策是基于系谱信息。然而,基因组信息通过提供比系谱信息更精确的预期杂合度(eHe)和实际杂合度(rHe)估计值,有潜力在配种决策中最小化近亲繁殖并增加杂合度。基本假设是,奶牛小母牛杂合度的增加会导致更大的显性效应,并降低纯种牛的近亲繁殖衰退。本研究的目的是利用单核苷酸多态性(SNP)标记信息估计eHe和rHe的大小。我们评估了杂合度增加对牛奶、脂肪和蛋白质产量;身体、腿部和乳房的整体体型评分;挤奶能力以及荷斯坦(HOL)、红奶牛(RDC)和泽西(JER)奶牛北欧总性能指数中包含的功能性状的影响。我们逐个SNP地计算所有基因分型亲本对的eHe,并将全基因组eHe确定为所有SNP的平均杂合度。还通过追溯五代系谱来计算系谱近亲繁殖。分析了2015年、2016年和2017年出生的5423头HOL基因分型母牛、2245头RDC基因分型母牛和5975头JER基因分型母牛的数据。所有这些母牛的亲本都进行了基因分型。HOL的平均eHe和rHe水平均为0.328,RDC为0.336,JER为0.308,eHe的标准差在0.007至0.008之间,rHe的标准差在0.009至0.012之间。结果表明,eHe、rHe和系谱近亲繁殖对所有品种的牛奶、脂肪和蛋白质产量均有显著影响。对于HOL,eHe每增加1个百分点,305天产奶量相应增加125千克牛奶、2.74千克脂肪和3.52千克蛋白质。对于RDC,相应的增加量为100千克牛奶、2.96千克脂肪和2.88千克蛋白质。对于JER,每增加1个杂合度百分点,产奶量增加53千克、脂肪增加3.63千克、蛋白质增加2.35千克。虽然观察到eHe对体型和功能性状有影响,但这些影响仅对这些性状的一部分显著。这些发现表明,将eHe纳入配种决策可以提高生产力,应在育种策略中予以考虑。