ArticleTropical animal health and production2024
Development of growth curve and estimation of genetic parameters of Nili-Ravi buffalo calves from birth to one year of age through non-linear models.
Article in Tropical animal health and production, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Modelling growth in lowland sheep using nonlinear functions.Translational animal science · 2025Article
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10 authors.
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Abstract
The current study aimed to construct the growth curve and find the best-fitting non-linear model for the Nili-Ravi buffalo calves. The pedigree and monthly body weight data for 6644 calves born between 2010 and 2020 (inclusive) in six herds, maintained in different geographical regions of Punjab were collected. The study was performed under a longitudinal design and various non-linear models were used to associate the age with weight by using the easyreg package in R studio. Finally, the genetic parameters of growth curve were estimated through the bi-variate sire model in ASReml (v4.2). The model with the highest value of coefficient of determination and the lowest values of Akaike's information criterion, Bayesian information criterion, and root-mean-square error was considered as the best fit for defining the growth curve. The Brody model was found as the best fitted model with the values of 0.6648, 627871.80, 627908.10, and 30.793 for the R
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