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Predicting live weight using body volume formula in lactating water buffalo

Published online by Cambridge University Press:  04 May 2023

Remedio Ramos-Zapata ,
Camila Dominguez-Madrigal ,
Ricardo-A. García-Herrera ,
Enrique Camacho-Perez ,
Jesús Manuel Lugo-Quintal ,
Thobela Louis Tyasi ,
Antonio Leandro Chaves Gurgel ,
Luís Carlos Vinhas Ítavo  and
Alfonso Juventino Chay-Canul
Remedio Ramos-Zapata
Affiliation:
División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, México
Camila Dominguez-Madrigal
Affiliation:
División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, México
Ricardo-A. García-Herrera
Affiliation:
División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, México
Enrique Camacho-Perez
Affiliation:
Facultad de Ingeniería, Universidad Autónoma de Yucatán, Mérida, Yucatán, México
Jesús Manuel Lugo-Quintal
Affiliation:
Tecnológico Nacional de México, Instituto Tecnológico de Progreso, Progreso, Yucatán, México
Thobela Louis Tyasi
Affiliation:
Department of Agricultural Economics and Animal Production, University of Limpopo, Sovenga, Limpopo, South Africa
Antonio Leandro Chaves Gurgel*
Affiliation:
Campus Professora Cinobelina Elvas, Universidade Federal do Piauí, Bom Jesus, Piauí, Brasil
Luís Carlos Vinhas Ítavo
Affiliation:
Faculdade de Medicina Veterinária e Zootecnia, Universidade Federal de Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brasil
Alfonso Juventino Chay-Canul*
Affiliation:
División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, México
*
Corresponding authors: Antonio Leandro Chaves Gurgel, Email: antonioleandro09@gmail.com; Alfonso Juventino Chay-Canul, Email: alfonso.chay@ujat.mx
Corresponding authors: Antonio Leandro Chaves Gurgel, Email: antonioleandro09@gmail.com; Alfonso Juventino Chay-Canul, Email: alfonso.chay@ujat.mx
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Abstract

Live weight (LW) is an important piece of information within production systems, as it is related to several other economic characteristics. However, in the main buffalo-producing regions in the world, it is not common to periodically weigh the animals. We develop and evaluate linear, quadratic, and allometric mathematical models to predict LW using the body volume (BV) formula in lactating water buffalo (Bubalus bubalis) reared in southeastern Mexico. The LW (391.5 ± 138.9 kg) and BV (333.62 ± 58.51 dm3) were measured in 165 lactating Murrah buffalo aged between 3 and 10 years. The goodness-of-fit of the models was evaluated using the Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), coefficient of determination (R2), mean-squared error (MSE) and root MSE (RMSE). In addition, the developed models were evaluated through cross-validation (k-folds). The ability of the fitted models to predict the observed values was evaluated based on the RMSEP, R2, and mean absolute error (MAE). LW and BV were significantly positively and strongly correlated (r = 0.81; P < 0.001). The quadratic model had the lowest values of MSE (2788.12) and RMSE (52.80). On the other hand, the allometric model showed the lowest values of BIC (1319.24) and AIC (1313.07). The Quadratic and allometric models had lower values of MSEP and MAE. We recommend the quadratic and allometric models to predict the LW of lactating Murrah buffalo using BV as a predictor.

Keywords

Biometric measurementsbody weightBubalus bubalishumid tropicsmathematical models
Type
Research Article
Information
Journal of Dairy Research , Volume 90 , Issue 2 , May 2023 , pp. 138 - 141
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of Hannah Dairy Research Foundation

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