Análisis y selección de modelos para ajuste de crecimiento y rendimientos de canal para pollos Broiler Cobb 500 en Cañita, Chepo

Roberto Saavedra; Héctor Cedeño; José Binns; Richard Mudarra; Marilys Quintero; Kelly Bordones; Mélida Quintero; Tamara Pimentel

doi:10.48204/j.ia.v8n2.a10100

Submitted June 5, 2026

Published 2026-06-26

Artículos

Vol. 8 No. 2 (2026): Revista investigaciones agropecuarias

Analysis and selection of models to fitting growth curves and carcass yield to Broiler Cobb 500 chickens in Cañita, Chepo

Roberto Saavedra⁺⁻
Héctor Cedeño⁺⁻
José Binns⁺⁻
Richard Mudarra⁺⁻
Marilys Quintero⁺⁻
Kelly Bordones⁺⁻
Mélida Quintero⁺⁻
Tamara Pimentel⁺⁻

DOI https://doi.org/10.48204/j.ia.v8n2.a10100

PDF (Español (España))

References

DOI: 10.48204/j.ia.v8n2.a10100

Published: 2026-06-26

How to Cite

Saavedra, R., Cedeño, H., Binns, J., Mudarra, R., Quintero, M., Bordones, K., Quintero, M., & Pimentel, T. (2026). Analysis and selection of models to fitting growth curves and carcass yield to Broiler Cobb 500 chickens in Cañita, Chepo. Journal of Agricultural Research, 8(2), 36–53. https://doi.org/10.48204/j.ia.v8n2.a10100

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Abstract

The objective of this study was to compare the fit of six nonlinear functions for live weight in Cobb 500 chickens with respect to age, to obtain estimates of parameters related to bird growth, considering four different residual variance structures, and to model carcass yields with respect to live weight and carcass weight. An experiment was conducted in 2025, with records of live weights, carcass weights, and carcass yields of 65 birds at 7, 14, 21, 28, 35, 42, 49, and 56 days of age. The Brody, von Bertalanffy, Gompertz, Logistic, Verhulst, and Weibull functions were fitted to live weights, while carcass yields were fitted using linear, quadratic, and interaction response surface models. The heteroscedastic residual variance structure improves the fit of the functions compared to the homoscedastic scenario, as it considers the biological aspect of the increased variation in weights (p < 0.05) with increasing age of the birds. Of the fitted functions, according to the AIC and BIC, the Weibull function performed best, with the potential variance structure. Similarly, the second-degree response surface model obtained the best fit of carcass yield with respect to live and carcass weight. In conclusion, fitting growth curves for live weight and using response surface models to model carcass yield allows for the estimation of important zootechnical parameters for decision-making in poultry programs.

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References

Brody, S. 1945. Bioenergetics and Growth. Rheinhold Pub. Corp., N.Y.
Cedeño Jeréz, L. S. (2019). Rendimiento de la canal de pollos Broilers de la línea Cobb 500 con diferentes sistemas de manejo en la época de invierno en Ecuador [Tesis de ingeniería no publicada]. Universidad Técnica de Babahoyo, Ecuador.
Demuner, L. F., Suckeveris, D., Muñoz, J. A., Caetano, V. C., Lima, C. G. D., Faria, D. E. D., & Faria, D. E. D. (2017). Adjustment of growth models in broiler chickens. Pesquisa Agropecuária Brasileira, 52, 1241-1252.
Galán, I., Arando, A., González, A., Navas, F. J., Salgado, J. I., Díaz, E., Camacho, M. E. (2023). Caracterización de las curvas de crecimiento biológico de la gallina Andaluza Azul, una raza local amenazada. Archivos de Zootecnia, 72(279), 172-177. DOI: https://doi.org/10.21071/az.v72i279.5730
INEC (2024). Censo Nacional Agropecuario. Volumen VI. Características de la Actividad Pecuaria. Recuperado de https://www.inec.gob.pa/archivos/P053342420250711101534Cuadro%2023.pdf
FAO (2024). FAOSTAT. Recuperado de https://www.fao.org/faostat/en/#data/FBS
Marcu, A., Vacaru-opri, I., Dumitrescu, G., Petculescu, L., Marcu, A., Nicula, M., Pe, I., Dronca, D., Kelciov, B., Mari, C. (2013). The Influence of Genetics on Economic Efficiency of Broiler Chickens Growth. 46(2), 339–346.
Maruyama, K., Vinyard, B., Akbar, M. K., Shafer, D. J., Turk, C. M. (2001). Growth curve analyses in selected duck lines. British Poultry Science, 42(5), 574-582.
Mazucheli, J., Souza, R. D., Philippsen, A. S. (2011). Modelo de crescimento de Gompertz na presença de erros normais heterocedásticos: um estudo de caso. Revista Brasileira de Biometria, 29(1), 91-101. Recuperado de: https://biometria.ufla.br/antigos/fasciculos/v29/v29_n1/A7_mazucheli.pdf
Mouffok C, Semara L, Ghoualmi N, Belkasmi F. 2019. Comparison of Some Nonlinear Functions for Describing Broiler Growth Curves of Cobb500 Strain. Poultry Science Journal. 7(1): 51-61.
Nelder, J. A. (1961). The fitting of a generalization of the logistic curve. Biometrics, 17(1), 89-110. Recuperado de https://doi.org/10.2307/2527498
Pascalau, S., Cadar, M., Raducu, C., Marchis, Z. (2017). Evaluation of productive performances in Ross 308 and Cobb 500 hybrids. Animal Biology & Animal Husbandry, 9(1), 22-27. Recuperado de https://www.researchgate.net/profile/Mirela-Cadar-2/publication/332497136_Evaluation_of_productive_performances_in_Ross_308_and_Cobb_500_hybrids/links/5cb85ab492851c8d22f352e5/Evaluation-of-productive-performances-in-Ross-308-and-Cobb-500-hybrids.pdf
Pinheiro J. C., Bates D. M. (2000). Mixed-Effects Models in S and S-PLUS. Springer, New York.
R Core Team (2023). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. Recuperado de https://www.R-project.org/.
Rosero, J. P., Guzman, E. F., Lopez, F. J. (2012). Evaluación del comportamiento productivo de las líneas de pollos de engorde Cobb 500 y Ross 308. Biotecnología en el sector Agropecuario y Agroindustrial, 10(1), 8-15.
Rostagno, H., Teixeira, L., Hannas, M., Juarez, D., Sakomura, N., Perazzo, F., Saraiva, A., Teixeira, M., Rodrigues, P., Oliveira, R., Barreto, S., Brito, C. (2017). Tablas Brasileñas para aves y cerdos: composición de alimentos y requerimientos nutricionales. (4a ed.). Rostagno. Universidad Federal de Viçosa. https://bitly.ws/UP9f
Saavedra, R., Mudarra, R., Cedeño, H., Pimentel, T. (2024). Comparación de Modelos No Lineales para el ajuste de Curvas de Crecimiento y estimación de parámetros productivos en pollos Cobb 500. Revista Investigaciones Agropecuarias, 6(2), 97-119.
Spiess, A. N., Neumeyer, N. (2010). An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach. BMC Pharmacology, 10(1), 1-11. Recuperado de: https://doi.org/10.1186/1471-2210-10-6
Verhulst, P. F. (1847). Deuxième mémoire sur la loi d'accroissement de la population. 269. Hayez.
Vitezica, Z. G., Marie-Etancelin, C., Bernadet, M. D., Fernandez, X., & Robert-Granié, C. (2010). Comparison of nonlinear and spline regression models for describing mule duck growth curves. Poultry Science, 89(8), 1778-1784.
von Bertalanffy, L. (1957). Quantitative laws in metabolism and growth. The quarterly review of biology, 32(3), 217-231.
Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.
Winsor, C. P. (1932). The Gompertz curve as a growth curve. Proceedings of the National Academy of Sciences, 18(1), 1-8.