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A total of 702 records for 39 lamb’s progeny of 36 Rahmani ewes maintained continually between parities 1 and 6 were used. Milk production of dams was estimated at d 7 after lambing and milk samples were analyzed. Energy corrected milk, fat corrected milk and fat and protein corrected milk (FPCM) were calculated. Lamb weights were obtained at birth then weekly. Factors affecting milk production and composition were studied. Linear and non-linear models were applied to describe lamb growth curves. All milk parameters tended to increase significantly with parity except milk fat percentage. The correlations of daily gain with milk yield and composition were mild positive in harmony with the positive regression coefficients of lambs’ daily gain on the same traits. The stepwise regression analysis indicated that milk yield was the best to predict daily gain of lambs followed by FPCM then total solids yield. Estimated parameters with lambs’ growth curves from different models were variable. Parameter a was the greatest for Brody model but parameter b was the greatest for Logistic followed by Gompertz models. Parameter c exhibited the earliest maturity from Logistic model. The results suggested that Gompertz model was the most suitable for predicting weights as it has recorded the best goodness of fit parameters.

COMPARISON AMONG MODELS TO DESCRIBE GROWTH CURVES OF RAHMANI LAMBS IN RELATION TO EWE MILK YIELD AND COMPOSITION