Patil Akshata, Cauveri D, Devendran P, Muralidharan J, Senthilkumar P
Department of Animal Genetics and Breeding, Madras Veterinary College, Chennai, 600 007, India.
Department of Bio-Informatics, Madras Veterinary College, Chennai, 600 007, India.
Trop Anim Health Prod. 2025 Jan 28;57(2):37. doi: 10.1007/s11250-025-04286-x.
In this study, data on pedigree, production traits for 19 years (2002-2022) of Salem Black goat from the Mecheri Sheep Research Station, Tamil Nadu, India was used. Various growth traits viz., birth weight (BW), weaning weight (WW), 6-month weight (6W), 9-month weight (9W), 12-month weight (YW), pre- and post-weaning average daily gain (ADG) (3-6, 6-9, 9-12 and 3-12 months) were analyzed. Univariate analysis was carried out after correcting for significant non-genetic factors. (Co)variance components for different production and functional traits were estimated by Restriction Maximum Likelihood method (REML) using WOMBAT. Heritability estimates for most of the growth traits were medium providing better scope for selection. Direct heritability estimates for BW, WW, 6W, 9W and YW, pre- and post-weaning ADG (3-12) were 0.177 ± 0.066, 0.094 ± 0.055, 0.111 ± 0.068, 0.123 ± 0.082, 0.181 ± 0.122, 0.118 ± 0.060 and 0.188 ± 0.126 respectively. Through bivariate analysis genetic and phenotypic correlations between growth traits were obtained. Positive, medium to high genetic correlation was observed in post-weaning body weight traits which would support multistage selection. Similar positive and medium to high genetic correlation between pre- and post-weaning ADG (3-6 and 3-12 months) with post- weaning body weight traits would facilitate indirect selection. Breeding values (EBV) for BW, WW, 6W, 9W, YW, pre- and post-weaning ADG (3-12 months) were estimated. High genetic variability was observed in weaning and post- weaning body weight traits. The findings of this study could further aid in the improvement of the breeding programme.
在本研究中,使用了来自印度泰米尔纳德邦梅切里绵羊研究站的塞勒姆黑山羊19年(2002 - 2022年)的系谱数据和生产性状数据。分析了各种生长性状,即出生体重(BW)、断奶体重(WW)、6月龄体重(6W)、9月龄体重(9W)、12月龄体重(YW)、断奶前和断奶后平均日增重(ADG)(3 - 6、6 - 9、9 - 12和3 - 12个月)。在对显著的非遗传因素进行校正后进行单变量分析。使用WOMBAT软件通过限制最大似然法(REML)估计不同生产和功能性状的(协)方差成分。大多数生长性状的遗传力估计值为中等,为选择提供了更好的空间。BW、WW、6W、9W和YW、断奶前和断奶后ADG(3 - 12)的直接遗传力估计值分别为0.177±0.066、0.094±0.055、0.111±0.068、0.123±0.082、0.181±0.122、0.118±0.060和0.188±0.126。通过双变量分析获得了生长性状之间的遗传和表型相关性。在断奶后体重性状中观察到正的、中等至高的遗传相关性,这将支持多阶段选择。断奶前和断奶后ADG(3 - 6和3 - 12个月)与断奶后体重性状之间类似的正的、中等至高的遗传相关性将有助于间接选择。估计了BW、WW、6W、9W、YW、断奶前和断奶后ADG(3 - 12个月)的育种值(EBV)。在断奶和断奶后体重性状中观察到高遗传变异性。本研究的结果可进一步有助于改进育种计划。