Alam Mahboob, Lee Jae-Gu, Dang Chang-Gwon, Lee Seung-Soo, Lee Sang-Min, Seong Ha-Seung, Park Mina, Cha Jaebeom, Kim Eun-Ho, Song Hyungjun, Lee Seokhyun, Lee Joonho
Animal Breeding and Genetics Division, National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
Dairy Cattle Improvement Center of NHAgree Business Group, NACF, Goyang 10292, Korea.
Anim Biosci. 2024 Nov;37(11):1863-1872. doi: 10.5713/ab.24.0281. Epub 2024 Oct 7.
We investigated genetic parameters of calving ease (CE) using several animal models in Korean Holstein and searched for suitable models for routine evaluation of CE.
Two phenotypic datasets of CE (DS5 and DS10) on first-parity Korean Holstein calves were prepared. DS5 and DS10 included at least 5 and 10 CE records per herd-year level and comprised 117,921 and 80,389 observations, respectively. The CE phenotypes ranged from 1 to 4, from a normal to extreme difficulty calving scale. The CE was defined as a trait of the calf. The BLUPF90+ software was used for (co)variances estimation through four animal models with a maternal effect (M1 to M4), where all models included effects of a fixed calf-sex, a fixed dam calving age (covariate), and one or more fixed contemporary group (CG) terms. The CG effects were different across models-a herd-year-season (M1, HYS), a herd-year and year-season (M2, HY+YS), a herd-year and season (M3, HY+S), and a herd and year-season (M4, H+YS).
Direct heritability (h2) estimates of CE ranged from 0.005 to 0.234 across models and datasets. Maternal h2 values were low (0.001 to 0.090). Genetic correlations between direct and maternal effects were strongly negative to lowly positive (-0.814 to 0.078), further emphasizing its importance in CE evaluation models. These genetic parameter estimates also indicate slower future selection progress of CE in Korean Holsteins. The M1 fitted many levels with fewer observations per level deriving unreliable parameters, and the M4 did not account for confounded herd and animal structures. The M2 and M3 were deemed more realistic for implementation, and they were better able to account for data structure issues (incompleteness and confounding) than other models.
As the pioneering study to employ animal models in Korean Holstein CE evaluation, our findings hold significant potential for this breed's future and routine evaluation development.
我们使用多种动物模型研究了韩国荷斯坦奶牛产犊难易度(CE)的遗传参数,并寻找适合常规评估CE的模型。
准备了初产韩国荷斯坦犊牛的两个CE表型数据集(DS5和DS10)。DS5和DS10在每个 herd - year水平上分别包含至少5条和10条CE记录,分别包含117,921条和80,389条观测值。CE表型范围为1至4,代表从正常到极难的产犊难度等级。CE被定义为犊牛的一个性状。使用BLUPF90 +软件通过四种具有母体效应的动物模型(M1至M4)进行(协)方差估计,所有模型均包括固定的犊牛性别效应、固定的母牛产犊年龄(协变量)以及一个或多个固定的当代组(CG)项。不同模型中的CG效应有所不同——畜群 - 年份 - 季节(M1,HYS)、畜群 - 年份和年份 - 季节(M2,HY + YS)、畜群 - 年份和季节(M3,HY + S)以及畜群和年份 - 季节(M4,H + YS)。
跨模型和数据集,CE的直接遗传力(h2)估计值范围为0.005至0.234。母体h2值较低(0.001至0.090)。直接效应和母体效应之间的遗传相关性为强负到低正(-0.814至0.078),进一步强调了其在CE评估模型中的重要性。这些遗传参数估计还表明韩国荷斯坦奶牛未来CE的选择进展较慢。M1拟合了许多水平,但每个水平的观测值较少,得出的参数不可靠,而M4没有考虑混淆的畜群和动物结构。M2和M3被认为在实施上更现实,并且它们比其他模型更能解释数据结构问题(不完整性和混淆性)。
作为在韩国荷斯坦奶牛CE评估中采用动物模型的开创性研究,我们的发现对该品种的未来和常规评估发展具有重大潜力。