Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences (AGB), Hisar, India.
J Anim Breed Genet. 2024 Jul;141(4):415-424. doi: 10.1111/jbg.12852. Epub 2024 Jan 29.
The study was done to determine additive, maternal and common permanent environmental effects and best-suited model for some production traits using six univariate animal models that differed in the (co)variance components fitted to assess the importance of maternal effect using likelihood ratio test in Murrah buffaloes. Data from 614 Murrah buffaloes related to production traits were collected from history pedigree sheets maintained at the buffalo farm, Department of Livestock Production and Management (LPM), LUVAS, Hisar. The production traits under this study were 305 days milk yield (305DMY), peak yield (PY), lactation length (LL), dry period (DP), lactation milk yield (LMY) and wet average (WA). The heritability estimates were in the range of 0.33-0.44 for 305DMY, 0.25-0.51 for PY, 0.05-0.13 for LL, 0.03-0.23 for DP, 0.17-0.40 for LMY and 0.37-0.66 for WA. Model 1 was considered best for most of the traits, viz., 305DMY, PY, LL, LMY and WA followed by model 2 for DP. Covariance and correlated values within the traits caused inflation of heritability in model 3 and model 6. The maximum covariance between the additive and maternal effect was found in trait LMY, which was 14,183.90 in model 3 and the minimum value was also reported in the same trait for model 6, valued at -3522.37. Multivariate analysis showed that all production traits were moderate to high and positively correlated with each other except for DP, which was low and negative genetic and phenotypic correlated. Spearman's rank correlation coefficients of breeding value among all six models were high and significant, ranged from 0.78 to 1.00 for all the traits except DP, therefore any of the models could be taken into account depending upon the availability of data.
本研究旨在使用 6 种单变量动物模型来确定一些生产性状的加性、母体和共同持久环境效应，以及最合适的模型，这些模型在评估母本效应的重要性时，在拟合的（协）方差分量上有所不同，并在穆拉水牛中使用似然比检验。从 LUVAS、Hisar 的家畜生产与管理系（LPM）的水牛农场的历史系谱表中收集了与生产性状相关的 614 头穆拉水牛的数据。本研究中的生产性状包括 305 天产奶量（305DMY）、峰值产奶量（PY）、泌乳期长度（LL）、干奶期（DP）、泌乳期产奶量（LMY）和湿奶平均产量（WA）。305DMY 的遗传力估计值在 0.33-0.44 之间，PY 的遗传力估计值在 0.25-0.51 之间，LL 的遗传力估计值在 0.05-0.13 之间，DP 的遗传力估计值在 0.03-0.23 之间，LMY 的遗传力估计值在 0.17-0.40 之间，WA 的遗传力估计值在 0.37-0.66 之间。对于大多数性状，模型 1 被认为是最佳模型，即 305DMY、PY、LL、LMY 和 WA，其次是 DP 的模型 2。在模型 3 和模型 6 中，性状内的协方差和相关值导致遗传力膨胀。在性状 LMY 中，加性效应和母体效应之间的最大协方差在模型 3 中为 14183.90，而在模型 6 中，该值也报告为最小，为-3522.37。多变量分析表明，除 DP 外，所有生产性状均为中度至高度正相关，DP 的遗传和表型相关性均较低且为负相关。在所有 6 种模型中，除 DP 外，所有生产性状的育种值之间的斯皮尔曼等级相关系数均较高且显著，范围从 0.78 到 1.00。因此，任何一种模型都可以考虑使用，具体取决于数据的可用性。
