Acta Scientific Nutritional Health (ASNH)(ISSN: 2582-1423)

Review Article Volume 6 Issue 12

Modeling Weight Growth in Farm Animals

Mohamed Amine Ferchichi1, Mohamed Aroua2* and Bayrem Jemmali2

1University of Carthage, LR13AGR02, Mateur Higher School of Agriculture, Tunisia
2University of Jendouba, Laboratoire: Appui à la Durabilité des Systèmes deProduction Agricole dans la Région du Nord-Ouest, Ecole Supérieure d'Agriculture du Kef (ESA Kef) Route Dahmani Boulifa, Le Kef, Tunisie

*Corresponding Author: Mohamed Aroua, University of Jendouba , Laboratoire: Appui à la Durabilité des Systèmes deProduction Agricole dans la Région du Nord-Ouest. Ecole Supérieure d'Agriculture du Kef (ESA Kef) Route Dahmani Boulifa, Le Kef, Tunisie.

Received: October 17, 2022; Published: November 14, 2022

Abstract

Statistical modeling offers a sure way and improves the accuracy of mathematical description for quantitative trait of farm animals. It simplifies making breeding decisions regarding provided summary information’s. Different empirical mathematical functions have been proposed to describe weight growth.
By describing the growth by simple functions whose parameters have most often biological significance, growth curves allow comparison of the rate of development of animals, or to assess the effects on growth of selection, gender or different ecological factors. Nevertheless, it is hard to believe that these functions with three or four parameters could explain in a precise way a phenomenon as complicated as growth from birth to death. It is important to choose the right model because an inappropriate model can lead to errors in the conclusions and less precise estimates.

Keywords: Weight Growth; Modeling; Far Animals

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Citation

Citation: Mohamed Aroua., et al. “Modeling Weight Growth in Farm Animals".Acta Scientific Nutritional Health 6.12 (2022): 63-70.

Copyright

Copyright: © 2022 Mohamed Aroua., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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