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Abstract. The present study was conducted to estimate the (co)variancecomponents for birth and weaning weight (BW and WW) in 8142 Awassi sheepbetween 2015 and 2017. Estimates were calculated with single-traitanalysis by the average information restricted maximum likelihood (AI-REML)method, using a derivative-free algorithm by fitting six differentunivariate animal models. The negative of the log-likelihood function(LogL), Akaike information criterion (AIC), and Bayesian informationcriterion (BIC) tests were used for selecting the best fitted model. Inaddition, the goodness of fit between the two models was compared with thelikelihood ratio test (LRT). Depending on the models, ha2 andhm2 ranged from 0.230 to 0.240 and 0.015 to 0.033 for BW, and 0.108to 0.168 and 0.024 to 0.081 for WW, respectively. Model 3 for BW and Model2 for WW were chosen as the best models by LogL comparison criteria.According to the LRT ratio test Model 2, Model 3, and Model 4 for BW andModel 2, Model 3, Model 4, Model 5, and Model 6 for WW were significant (p&lt;0.05). Including maternal genetic or maternal permanentenvironmental effects in these models was found to be significant in termsof parameter estimates.

Comparison of different models for estimation of direct and maternal genetic parameters on body weights in Awassi sheep