Jiménez José María, Morales Rosa María, Menéndez-Buxadera Alberto, Demyda-Peyrás Sebastián, Laseca Nora, Molina Antonio
CEAG The Council of Cadiz, 11400 Jerez de la Frontera, Spain.
Department of Genetics, Veterinary School, Campus de Rabanales, University of Córdoba, Edificio Gregor Mendel, Ctra. Madrid-Cádiz, km 396, 14014 Córdoba, Spain.
Animals (Basel). 2023 Jan 31;13(3):501. doi: 10.3390/ani13030501.
In this study, we analyzed the variation of reproductive efficiency, estimated as the deviation between the optimal and real parity number of females at each stage of the cow's life, in 12,554 cows belonging to the Retinta Spanish cattle breed, using classical repeatability and random regression models. The results of the analyses using repeatability model and the random regression model suggest that reproductive efficiency is not homogeneous throughout the cow's life. The h estimate for this model was 0.30, while for the random regression model it increased across the parities, from 0.24 at the first calving to 0.51 at calving number 9. Additionally, we performed a preliminary genome-wide association study for this trait in a population of 252 Retinta cows genotyped using the Axiom Bovine Genotyping v3 Array. The results showed 5 SNPs significantly associated with reproductive efficiency, located in two genomic regions (BTA4 and BTA28). The functional analysis revealed the presence of 5 candidate genes located within these regions, which were previously involved in different aspects related to fertility in cattle and mice models. This new information could give us a better understanding of the genetic architecture of reproductive traits in this species, as well as allow us to accurately select more fertile cows.
在本研究中,我们使用经典重复性模型和随机回归模型,对12554头西班牙雷廷塔牛品种母牛在其生命各阶段的繁殖效率变化进行了分析,繁殖效率以母牛最佳和实际胎次之间的偏差来估算。使用重复性模型和随机回归模型的分析结果表明,母牛一生的繁殖效率并非均匀一致。该模型的h估计值为0.30,而随机回归模型的h估计值在各胎次中有所增加,从第一次产犊时的0.24增加到第9次产犊时的0.51。此外,我们对使用Axiom Bovine Genotyping v3 Array进行基因分型的252头雷廷塔牛群体中的这一性状进行了初步全基因组关联研究。结果显示有5个单核苷酸多态性(SNP)与繁殖效率显著相关,位于两个基因组区域(BTA4和BTA28)。功能分析揭示了这些区域内存在5个候选基因,它们先前在牛和小鼠模型中与生育力相关的不同方面发挥作用。这些新信息可以让我们更好地理解该物种繁殖性状的遗传结构,并使我们能够准确地选择繁殖力更强的母牛。