Caraviello D Z, Weigel K A, Gianola D
Department of Dairy Science, niversity of Wisconsin, Madison 53706, USA.
J Dairy Sci. 2004 Oct;87(10):3518-25. doi: 10.3168/jds.S0022-0302(04)73488-8.
Breeding values of Holstein sires for daughter longevity in each of 9 geographical regions of the United States were predicted using a Weibull proportional hazards model. Longevity (also commonly referred to as herd life or length of productive life) was defined as the number of days from first calving until culling or censoring. Records from 2,322,389 Holstein cows with first calving from 1990 to 2000 were used. In addition to the sire's additive genetic merit, our failure time model included time-dependent effects of herd-year-season of calving, parity-stage of lactation, and within-herd-year quintiles for mature equivalent fat plus protein yield, as well as the time-independent effect of age at first calving. Sire variances and parameters of the Weibull distribution were estimated separately for each region. The relative risk of culling for daughters of each individual sire was expressed relative to that of daughters of an average sire (within a specific region). Predicted breeding values for functional longevity, expressed as relative risk ratios, ranged from 0.7 to 1.3. Sizable differences were observed between geographical regions in sire rankings, as well as estimated sire variances and gamma parameters (of the distribution of herd-year-season effects), suggesting that a single national ranking may not be appropriate for every region. Two random samples of herds were selected from the full national data set; these contained 375,086 records and 256,751 records, respectively. Predicted transmitting abilities (PTA) of sires for daughter longevity were calculated using the Weibull proportional hazards (sire) model described previously but without the correction for milk production. These were compared with predictions from a linear (animal) model, as currently used for routine genetic evaluation of length of productive life in the United States. Logistic regression of daughters' stayability to 36, 48, 60, 72, or 84 mo of life (among animals that had opportunity to stay that long) on sires' PTA indicated that the proportional hazards model yielded more accurate predictions of daughter longevity than the linear animal model, even though the latter relied on denser pedigree information.
使用威布尔比例风险模型预测了美国9个地理区域中荷斯坦公牛女儿长寿的育种值。长寿(通常也称为牛群寿命或生产寿命长度)定义为从首次产犊到淘汰或截尾的天数。使用了1990年至2000年首次产犊的2322389头荷斯坦奶牛的记录。除了公牛的加性遗传价值外,我们的失效时间模型还包括产犊的牛群-年份-季节、泌乳阶段胎次以及牛群-年份内成熟当量脂肪加蛋白质产量五分位数的时间依赖性效应,以及首次产犊年龄的时间独立性效应。针对每个区域分别估计了威布尔分布的公牛方差和参数。每个个体公牛女儿的淘汰相对风险相对于平均公牛(在特定区域内)女儿的淘汰相对风险来表示。以相对风险比表示的功能性长寿预测育种值范围为0.7至1.3。在公牛排名以及估计的公牛方差和伽马参数(牛群-年份-季节效应的分布)方面,不同地理区域之间观察到了显著差异,这表明单一的全国排名可能不适用于每个区域。从完整的全国数据集中选取了两个随机样本牛群;这些样本分别包含375086条记录和256751条记录。使用先前描述的威布尔比例风险(公牛)模型,但不进行产奶量校正,计算了公牛女儿长寿的预测传递能力(PTA)。将这些结果与目前在美国用于生产寿命长度常规遗传评估的线性(动物)模型的预测结果进行了比较。女儿在36、48、60、72或84个月寿命(在有机会存活那么长时间的动物中)的留群率对公牛PTA的逻辑回归表明,即使线性动物模型依赖更密集的系谱信息,但比例风险模型对女儿长寿的预测比线性动物模型更准确。