Considering the dominance and epistasis effects in the analysis can increase the accuracy of estimating breeding values. The objective of this study was to fit the best model for each average daily gain trait (average daily gain from birth to weaning (adgbwww), from birth to 3 months (adgbww3), from birth to 6 months (adgbww6), from weaning to 3 months (adgwww3), from 3 to 6 months (adgw3w6), from 6 to 9 months (adgw6w9), and from 9 to 12 months (adgw9w12)) and the estimation of the genetic parameters and variance components, especially non-additive genetic effects, in Adani goats. Analyses were carried out using the Bayesian method via the Gibbs sampler animal model by fitting 18 different models. With the best model, direct heritability estimates were 0.093, 0.250, 0.256, 0.084, 0.036, 0.048, and 0.151 for adgbwww, adgbww3, adgbww6, adgwww3, adgw3w6, adgw6w9 and adgw9w12 traits, respectively. Maternal genetic and maternal permanent environmental effects were significant only for adgbwww trait. Dominance and epistasis effects were significant almost for all traits and as a proportion of phenotypic variance was the range from 0.068 to 0.221 and 0.106 to 0.237, respectively. Adding dominance and epistasis effects to models reduced the error variance and the accuracy of estimating breeding values was increased. The accuracy of breeding values of these traits with the best models ranged from 0.456 to 0.674, 0.493 to 0.656, and 0.424 to 0.674 for all animals, 10 % of best males and 50 % of the best females, respectively. The result of the present study suggests that dominance and epistasis effect was important for average daily gain traits of Adani goats and should be included in evaluation models.

在分析中考虑优势和上位效应可以提高估计育种值的准确性。本研究的目的是为每个平均日增重性状（从出生到断奶 (adgbwww)、从出生到 3 个月 (adgbww3)、从出生到 6 个月 (adgbww6)、从断奶到断奶的平均日增重）拟合最佳模型。 3 个月 (adgwww3)、3 至 6 个月 (adgw3w6)、6 至 9 个月 (adgw6w9) 和 9 至 12 个月 (adgw9w12)）以及遗传参数和方差分量的估计，尤其是非加性遗传效果，在阿达尼山羊。使用贝叶斯方法通过吉布斯采样器动物模型通过拟合 18 个不同模型进行分析。使用最佳模型时，adgbwww、adgbww3、adgbww6、adgwww3 的直接遗传力估计值为 0.093、0.250、0.256、0.084、0.036、0.048 和 0.151。分别为 adgw3w6、adgw6w9 和 adgw9w12 特征。母体遗传和母体永久环境影响仅对 adgbwww 性状显着。优势和上位效应几乎对所有性状都很显着，表型方差的比例分别为 0.068 至 0.221 和 0.106 至 0.237。将优势和上位效应添加到模型中减少了误差方差，并提高了估计育种值的准确性。这些性状的育种值与最佳模型的准确度范围为 0.456 至 0.674、0.493 至 0.656 和 0.424 至 0.674，分别为最佳雄性的 10% 和最佳雌性的 50%。