Test of Equality of Parameters in Growth Curves of Black Castellana Chickens
DOI:
https://doi.org/10.5433/1679-0375.2025.v46.51832Keywords:
likelihood ratio test, Gompertz model, sexual dimorphismAbstract
Growth curves and the understanding of sexual dimorphism provide information for increasing productivity in the poultry industry. The study aims to describe the growth of male and female Castellana Negra chickens using the nonlinear Gompertz model and applying the Likelihood Ratio Test (LRT) to compare model parameters to investigate sexual dimorphism. The data were obtained from an experiment involving male and female Castellana Negra chickens. The Gompertz model was adjusted to the data using the maximum likelihood method, and the LRT was employed to assess the equality of growth curve parameters between sexes. The full Gompertz model, in which parameters varied between males and females, proved to be the most suitable for describing the growth of the animals. Therefore, the Castellana Negra breed presents sexual dimorphism in relation to adult weight, the age at maximum growth rate, and the relative growth rate.
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Aggrey, S. E. (2002). Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poultry Science, 81(12), 1782–1788. DOI: https://doi.org/10.1093/ps/81.12.1782
Albuquerque, M. F., Garcia, A. M. L., & Silva, I. H. L. (2021). Produção, custo e bem-estar da galinha caipira da linhagem Embrapa 051 na agricultura familiar. Agricultura Familiar: Pesquisa, Formação e Desenvolvimento, 14(2), 121–139. DOI: https://doi.org/10.18542/raf.v14i2.9076
Amaral, L. S. d., Moreira, G. R., Gomes-Silva, F., Santos, A. L. P. d., Cunha, M. F., Machado, L. C., & Pimentel, P. G. (2024). Fitting nonlinear models to the growth of New Zealand White rabbits. Semina: Ciências Agrárias, 45(6), 1765–1784. DOI: https://doi.org/10.5433/1679-0359.2024v45n6p1765
Associação Brasileira de Proteína Animal. (2023). Relatório Anual 2023. ABPA. https://abpa-br.org/wp-content/uploads/2023/04/Relatorio-Anual-2023.pdf
Burnham, K. P., & Anderson, D. R. (2002). Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (2nd ed.). Springer.
Cajal, J. R., & Francesch, A. (2014). Caracterización productiva de la gallina de Sobrarbe. Archivos de Zootecnia, 63(241), 211–214. DOI: https://doi.org/10.4321/S0004-05922014000100023
Casella, G., & Berger, R. L. (2002). Statistical Inference (2nd ed.). Duxbury.
Draper, N. R., & Smith, H. (1998). Applied Regression Analysis (3rd ed.). Wiley. DOI: https://doi.org/10.1002/9781118625590
Faraji-Arough, H., Rokouei, M., Maghsoudi, A., & Mehri, M. (2019). Evaluation of non-linear growth curves models for native slow-growing Khazak chickens. Poultry Science Journal, 7(1), 25–32.
Fernandes, T. J., Muniz, J. A., Pereira, A. A., Muniz, F. R., & Muianga, C. A. (2015). Parameterization effects in nonlinear models to describe growth curves. Acta Scientiarum Technology, 37(4), 397–402. DOI: https://doi.org/10.4025/actascitechnol.v37i4.27855
Galán, I., Arando, A., González, A., Navas, F. J., Salgado, J. I., Díaz, E., Peláez, M. P., León, J. M., Delgado, J. V., & 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
González-Ariza, A., Nogales, S., Navas-González, F. J., Delgado, J. V., León, J. M., Barba, C. J., Arando, A., & Camacho, M. E. (2019). Estudio preliminar de caracterización del crecimiento de la raza aviar gallina Utrerana. Actas Iberoamericanas de Conservación Animal, 14, 14–20. https://www.cabidigitallibrary.org/doi/pdf/10.5555/20203461616
González-Ariza, A., Nogales Baena, S., Lupi, T. M., Arando, A., Arbulu, Navas González, F. J., León Jurado, J. M., Delgado Bermejo, J. V., & Camacho Vallejo, M. E. (2021). Characterisation of biological growth curves of different varieties of an endangered native hen breed kept under free range conditions. Italian Journal of Animal Science, 20, 806–813. DOI: https://doi.org/10.1080/1828051X.2021.1915190
Hoang, T. N., Faça, H. T. T., Bui, D. H., Pham, D. K., Hoang, T. A., & Do, D. N. (2021). Evaluation of non-linear growth curve models in the Vietnamese indigenous Mia chicken. Animal Science Journal, 92, e13483. DOI: https://doi.org/10.1111/asj.13483
Kim, S. W., Weaver, A. C., Shen, Y. B., & Zhao, Y. (2013). Improving efficiency of sow productivity: nutrition and health. Journal of Animal Science and Biotechnology, 4(26). DOI: https://doi.org/10.1186/2049-1891-4-26
Mata-Estrada, A., González-Cerón, F., Pro-Martínez, A., Torres-Hernández, G., Bautista Ortega, J., Becerril-Pérez, C. M., Vargas-Galicia, A. J., & Sosa-Montes, E. (2020). Comparison of four nonlinear growth models in Creole chickens of Mexico. Poultry Science, 99(4), 1995–2000. DOI: https://doi.org/10.1016/j.psj.2019.11.031
Mello, F. D., Oliveira, C. A. L., Ribeiro, R. P., Resende, E. K., Povh, J. A., Fornari, D. C., Barreto, R. V., Mcmanus, C., & Streit, J., D. (2015). Growth curve by Gompertz nonlinear regression model in female and males in tambaqui (Colossoma macropomum). Anais Da Academia Brasileira De Ciências, 87(4), 2309–2315. DOI: https://doi.org/10.1590/0001-3765201520140315
Miguel, J. A., Asenjo, B., Ciria, J., & Calvo, J. L. (2007). Growth and lay modelling in a population of Castellana Negra native Spanish hens. British Poultry Science, 48(6), 651–654. DOI: https://doi.org/10.1080/00071660701598414
Narinç, D., Öksüz Narinç, N., & Aygün, A. (2017). Growth curve analyses in poultry science. World’s Poultry Science Journal, 73(2), 395–408. DOI: https://doi.org/10.1017/S0043933916001082
Pinheiro, J. C., & Bates, D. M. (2000). Mixed-Effects Models in S and S-PLUS. Springer. DOI: https://doi.org/10.1007/978-1-4419-0318-1
Regazzi, A. J. (2003). Teste para verificar a igualdade de parâmetros e a identidade de modelos de regressão não-linear. Revista Ceres, 50(287), 9–26.
Rizzi, C., Contiero, B., & Cassandro, M. (2013). Growth patterns of Italian local chicken populations. Poultry Science, 92(9), 2226–2235. DOI: https://doi.org/10.3382/ps.2012-02825
Rossi, R. M., & Santos, L. A. d. (2014). Modelagem Bayesiana para curvas de crescimentos de codornas assumindo assimetria nos erros. Semina: Ciências Agrárias, 35(3), 1637–1648. DOI: https://doi.org/10.5433/1679-0359.2014v35n3p1637
Ximenês, L. F. (2020). Frango. Caderno Setorial ETENE, 5(134), 1–16. https://www.bnb.gov.br/revista/cse/article/view/2896/1998
Zardin, A. M. S. O., Oliveira, C. A. L., Oliveira, S. N., Yoshida, G. M., Albuquerque, D. T., Campos, C. M., & Ribeiro, R. P. (2019). Growth curves by Gompertz nonlinear regression model for male and female Nile tilapias from different genetic groups. Aquaculture, 511, 1–8. DOI: https://doi.org/10.1016/j.aquaculture.2019.734243
Zhao, Z., Li, S., Huang, H., Li, C., Wang, Q., & Xue, L. (2015). Comparative study on growth and developmental model of Indigenous chicken breeds in China. Open Journal of Animal Sciences, 5(2), 219–223. DOI: https://doi.org/10.4236/ojas.2015.52024
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Copyright (c) 2025 Rafaela de Carvalho Salvador, Natiele Almeida Gonzaga, Edilene Cristina Pedroso Azarias, Adriele Aparecida Pereira, Tales Jesus Fernandes
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