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- W2992916864 abstract "The study was conducted to determine the best non-linear function in explaining variation and growth parameters in the body weight of 50 Norduz female lambs from birth to 180 days of age using monomolecular, logistic, and Gompertz growth models. The most appropriate growth model was determined by using criteria such as Determination Coefficient (R), Root Mean Square Error (RMSE) and asymptotic correlation coefficients between parameters of all growth models. Determination coefficients of Monomolecular, Logistic and Gompertz growth models fitted to body weight-age data at early phase of Norduz female lambs were found as 99.3 %, 99.7%, and 99.7%, respectively. In addition, RMSE values of Monomolecular, Logistic and Gompertz growth models were estimated as 1.09, 0.74, and 0.76, respectively. The best growth model explaining bodyweightage relationship of Norduz female lambs was found to be Gompertz growth model, which had the highest determination coefficient (R) and the highest asymptotic correlation coefficients between parameters (0.84-0.94). It was concluded that the most appropriate model explaining body weight of Norduz female lambs was found to be Gompertz growth model, which might help in the determination of management problems, regulation of feeding regimes, and determination of optimum slaughtering age due to economic efficiency on body weight at maturity." @default.
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- W2992916864 date "2010-01-01" @default.
- W2992916864 modified "2023-09-24" @default.
- W2992916864 title "The best non-linear function for body weight at early phase of Norduz female lambs." @default.
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