Stephen M A, Burke C R, Steele N, Pryce J E, Meier S, Amer P R, Phyn C V C, Garrick D J
DairyNZ Ltd., Hamilton 3240, New Zealand; AL Rae Centre for Genetics and Breeding-Massey University, Ruakura, Hamilton 3214, New Zealand.
DairyNZ Ltd., Hamilton 3240, New Zealand.
J Dairy Sci. 2024 Jun;107(6):3700-3715. doi: 10.3168/jds.2023-23963. Epub 2023 Dec 21.
Reproductive performance is a key determinant of cow longevity in a pasture-based, seasonal dairy system. Unfortunately, direct fertility phenotypes such as intercalving interval or pregnancy rate tend to have low heritabilities and occur relatively late in an animal's life. In contrast, age at puberty (AGEP) is a moderately heritable, early-in-life trait that may be estimated using an animal's age at first measured elevation in blood plasma progesterone (AGEP4) concentrations. Understanding the genetic architecture of AGEP4 in addition to genetic relationships between AGEP4 and fertility traits in lactating cows is important, as is its relationship with body size in the growing animal. Thus, the objectives of this research were 3-fold. First, to estimate the genetic and phenotypic (co)variances between AGEP4 and subsequent fertility during first and second lactations. Second, to quantify the associations between AGEP4 and height, length, and BW measured when animals were approximately 11 mo old (standard deviation = 0.5). Third, to identify genomic regions that are likely to be associated with variation in AGEP4. We measured AGEP4, height, length, and BW in approximately 5,000 Holstein-Friesian or Holstein-Friesian × Jersey crossbred yearling heifers across 54 pasture-based herds managed in seasonal calving farm systems. We also obtained calving rate (CR42, success or failure to calve within the first 42 d of the seasonal calving period), breeding rate (PB21, success or failure to be presented for breeding within the first 21 d of the seasonal breeding period) and pregnancy rate (PR42, success or failure to become pregnant within the first 42 d of the seasonal breeding period) phenotypes from their first and second lactations. The animals were genotyped using the Weatherby's Versa 50K SNP array (Illumina, San Diego, CA). The estimated heritabilities of AGEP4, height, length, and BW were 0.34 (90% credibility interval [CRI]: 0.30, 0.37), 0.28 (90% CRI: 0.25, 0.31), 0.21 (90% CRI: 0.18, 0.23), and 0.33 (90% CRI: 0.30, 0.36), respectively. In contrast, the heritabilities of CR42, PB21 and PR42 were all <0.05 in both first and second lactations. The genetic correlations between AGEP4 and these fertility traits were generally moderate, ranging from 0.11 to 0.60, whereas genetic correlations between AGEP4 and yearling body-conformation traits ranged from 0.02 to 0.28. Our GWAS highlighted a genomic window on chromosome 5 that was strongly associated with variation in AGEP4. We also identified 4 regions, located on chromosomes 14, 6, 1, and 11 (in order of decreasing importance), that exhibited suggestive associations with AGEP4. Our results show that AGEP4 is a reasonable predictor of estimated breeding values for fertility traits in lactating cows. Although the GWAS provided insights into genetic mechanisms underpinning AGEP4, further work is required to test genomic predictions of fertility that use this information.
在以牧场为基础的季节性奶牛养殖系统中,繁殖性能是决定奶牛寿命的关键因素。不幸的是,诸如产犊间隔或妊娠率等直接的繁殖力表型往往遗传力较低,且在动物生命中出现相对较晚。相比之下,初情期年龄(AGEP)是一种具有中等遗传力的生命早期性状,可以通过动物首次测得血浆孕酮浓度升高时的年龄(AGEP4)来估算。了解AGEP4的遗传结构以及AGEP4与泌乳奶牛繁殖性状之间的遗传关系很重要,其与生长中动物体型大小的关系也同样重要。因此,本研究的目标有三个。第一,估计AGEP4与首次和第二次泌乳期后续繁殖力之间的遗传和表型(协)方差。第二,量化AGEP4与动物约11月龄时(标准差 = 0.5)测得的身高、体长和体重之间的关联。第三,识别可能与AGEP4变异相关的基因组区域。我们在季节性产犊农场系统管理的54个以牧场为基础的牛群中,对约5000头荷斯坦 - 弗里生或荷斯坦 - 弗里生×泽西杂交一岁小母牛测量了AGEP4、身高、体长和体重。我们还获得了它们首次和第二次泌乳期的产犊率(CR42,季节性产犊期前42天内产犊与否)、配种率(PB21,季节性配种期前21天内是否被送去配种)和妊娠率(PR42,季节性配种期前42天内是否怀孕)等表型数据。使用Weatherby's Versa 50K SNP芯片(Illumina,加利福尼亚州圣地亚哥)对这些动物进行基因分型。AGEP4、身高、体长和体重的估计遗传力分别为0.34(90%可信区间[CRI]:0.30,0.37)、0.28(90% CRI:0.25,0.31)、0.21(90% CRI:0.18,0.23)和0.33(90% CRI:0.30,0.36)。相比之下,CR42、PB21和PR42在首次和第二次泌乳期的遗传力均<0.05。AGEP4与这些繁殖性状之间的遗传相关性一般为中等,范围从0.11到0.60,而AGEP4与一岁龄体况性状之间的遗传相关性范围从0.02到0.28。我们的全基因组关联研究(GWAS)突出了5号染色体上一个与AGEP4变异密切相关的基因组窗口。我们还确定了位于14号、6号、1号和11号染色体上的4个区域(按重要性递减顺序),它们与AGEP4表现出提示性关联。我们的结果表明,AGEP4是泌乳奶牛繁殖性状估计育种值的合理预测指标。尽管GWAS为AGEP4的遗传机制提供了见解,但还需要进一步的工作来测试利用这些信息对繁殖力进行的基因组预测。