Abstract
The study of growth curves in sheep is an effective approach to monitor the animal development for predicting the growth rate and improving overall flock performance. The purpose of the present work was to study the growth curve traits of Munjal sheep using different non-linear models and to estimate the genetic parameters of those traits for the possibility of inclusion of them under selection strategy. Total 2285 weight records at birth, 3, 6 and 12 months of age of 706 lambs born to 48 sires and 149 dams were collected from the registers maintained from 2004 to 2019. Various non-linear growth models viz., Brody, Gompertz, logistic, Bertalanffy and negative exponential were fitted to targeted growth curve traits and then evaluated using goodness of fit criteria such as adjusted R2, root means square error (RMSE), Akaike’s information criterion (AIC) and Bayesian information criterion (BIC). The genetic parameters of growth curve traits were estimated using animal model. The results suggested that Brody model was best fitted to the data than other models. The growth curve estimates for mature weight (A), inflexion point (B) and rate of maturation (k) under Brody model were 25.82 ± 1.72, 0.84 ± 0.04, and 0.21 ± 0.04, respectively for female lambs, and 29.55 ± 2.04, 0.86 ± 0.03 and 0.19 ± 0.04, respectively for male lambs. The males showed superiority for mature weights whereas female lambs had higher maturation rates. The estimates of direct heritability for A, B and k were 0.33, 0.41 and 0.10, respectively. The moderate estimate of direct heritability of A and its negative genetic correlation with k indicated the scope of genetic improvement through selection based on mature weights. Therefore, it was concluded from the present findings that Brody model was the one that best describes the growth curve in the Munjal sheep and the selection based on mature weights can be employed for genetic improvement of Munjal flock.
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Acknowledgements
The authors are thankful to Worthy Vice-Chancellor, LUVAS, Hisar (India) for providing needed facility for conducting this work.
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AM and YCB designed the study and analysed the data, YCB and AM wrote paper, ASY edited initial version of the paper, all authors have approved final version of the paper.
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The present investigation did not require ethical approval as data records were collected from Sheep breeding farm, Department of Animal Genetics and Breeding, LUVAS, Hisar, Haryana (India).
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Magotra, A., Bangar, Y.C. & Yadav, A.S. Modelling the growth curve and estimation of associated genetic parameters in Munjal sheep. Trop Anim Health Prod 55, 205 (2023). https://doi.org/10.1007/s11250-023-03624-1
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DOI: https://doi.org/10.1007/s11250-023-03624-1