Relationship between body weight and dorsal area in female buffaloes

Authors

  • Armando Gomez-Vazquez Universidad Juárez Autónoma de Tabasco
  • Tairon-Pannunzio Dias-Silva Universidade Federal do Piauí
  • Luís-Carlos Vinhas-Ítavo Universidade Federal de Mato Grosso do Sul
  • Ricardo-A García-Herrera Universidad Juárez Autónoma de Tabasco
  • Daniel Mota-Rojas Universidad Autónoma Metropolitana
  • José Herrera-Camacho Universidad Michoacana de San Nicolás de Hidalgo
  • Antonio-Leandro Chaves-Gurgel Universidad Juárez Autónoma de Tabasco - Universidade Federal do Piauí
  • Enrique Camacho-Perez Universidad Autónoma de Yucatán
  • Alvar-Alonzo Cruz-Tamayo Universidad Autónoma de Campeche
  • Alfonso-Juventino Chay-Canul Universidad Juárez Autónoma de Tabasco

DOI:

https://doi.org/10.17533/udea.rccp.v38n1a3

Keywords:

Animal growth, biometric measurements, Bubalus bubalis, humid tropics, live weight, mathematical models, weight prediction

Abstract

Background: The body weight (BW) of animals at various growth stages is an important piece of information for the decision-making process. In the current "livestock 4.0" or precision livestock farming it becomes necessary to know if body measurements obtained from the dorsal view of an animal are related to its BW. Objective: To evaluate the relationship between BW and dorsal area (DA) of water buffaloes (Bubalus bubalis) reared in southeastern Mexico. Methods: The BW (340 ± 161.68 kg), hip width (HW), thorax width (TW), and body length (BL) were measured in 215 female Murrah buffaloes aged between 3 months and 5 years. The DA (m2) was calculated using the mathematical formulae for the area of a trapezoid, considering HW, TW, and BL in the calculation. The relationship between BW and DA was assessed with correlation and regression models. Results: The correlation coefficient between BW and AD was 0.96 (p<0.001). The linear equation had the highest determination coefficient (R2 = 0.94) along with the lowest mean square error (MSE = 1716.86), root MSE (RMSE = 41.43), Akaike Information Criterion (AIC = 1603.36), and Bayesian Information Criterion (BIC = 1610.10). Conversely, the allometric equation exhibited the highest values of MSE, RMSE, AIC, and BIC. Based on the quality of fit by the k-folds technique, the three proposed equations showed consistent adjustments, with more than 90% accuracy (R2 = 0.92). The quadratic equation exhibited the lowest mean squared prediction error and mean absolute error. Conclusion: The DA can be used as a good predictor of BW in buffaloes, especially when incorporated into first and second-degree linear equations.

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Author Biographies

Armando Gomez-Vazquez, Universidad Juárez Autónoma de Tabasco

División Académica de Ciencias Agropecuarias. Universidad Juárez Autónoma de Tabasco: Villahermosa, Tabasco, México
https://orcid.org/0000-0002-2459-585X

Tairon-Pannunzio Dias-Silva, Universidade Federal do Piauí

Campus Professora Cinobelina Elvas. Universidade Federal do Piauí: Bom Jesus, Piauí, Brasil
https://orcid.org/0000-0002-4786-1399

Luís-Carlos Vinhas-Ítavo, Universidade Federal de Mato Grosso do Sul

Faculdade de Medicina Veterinária e Zootecnia, Universidade Federal de Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brasil
https://orcid.org/0000-0001-6895-8483

Ricardo-A García-Herrera, Universidad Juárez Autónoma de Tabasco

División Académica de Ciencias Agropecuarias. Universidad Juárez Autónoma de Tabasco: Villahermosa, Tabasco, México
https://orcid.org/0000-0003-2456-4727

Daniel Mota-Rojas, Universidad Autónoma Metropolitana

Department of Animal Production and Agriculture. Universidad Autónoma Metropolitana: México City, México
https://orcid.org/0000-0003-0562-0367

José Herrera-Camacho, Universidad Michoacana de San Nicolás de Hidalgo

Instituto de Investigaciones Agropecuarias y Forestales: Universidad Michoacana de San Nicolás de Hidalgo, Tarímbaro, Michoacán, México
https://orcid.org/0000-0002-0207-3313

Antonio-Leandro Chaves-Gurgel, Universidad Juárez Autónoma de Tabasco - Universidade Federal do Piauí

División Académica de Ciencias Agropecuarias. Universidad Juárez Autónoma de Tabasco: Villahermosa, Tabasco, México
Campus Professora Cinobelina Elvas. Universidade Federal do Piauí: Bom Jesus, Piauí, Brasil
https://orcid.org/0000-0001-5911-369X

Enrique Camacho-Perez, Universidad Autónoma de Yucatán

Facultad de Ingeniería. Universidad Autónoma de Yucatán: Mérida, Yucatán, México
https://orcid.org/0000-0002-2581-1921

Alvar-Alonzo Cruz-Tamayo, Universidad Autónoma de Campeche

Facultad de Ciencias Agropecuarias. Universidad Autónoma de Campeche: Escárcega, Campeche, México
https://orcid.org/0000-0002-5509-3430

Alfonso-Juventino Chay-Canul, Universidad Juárez Autónoma de Tabasco

División Académica de Ciencias Agropecuarias. Universidad Juárez Autónoma de Tabasco: Villahermosa, Tabasco, México
https://orcid.org/0000-0003-4412-4972

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Published

2024-06-11 — Updated on 2024-10-01

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How to Cite

Gomez-Vazquez, A., Dias-Silva, T.-P., Vinhas-Ítavo, L.-C., García-Herrera, R.-A., Mota-Rojas, D., Herrera-Camacho, J., Chaves-Gurgel, A.-L., Camacho-Perez, E., Cruz-Tamayo, A.-A., & Chay-Canul, A.-J. (2024). Relationship between body weight and dorsal area in female buffaloes. Revista Colombiana De Ciencias Pecuarias, 37(4), 243–250. https://doi.org/10.17533/udea.rccp.v38n1a3 (Original work published June 11, 2024)

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