Teste de Igualdade de Parâmetros nas Curvas Crescimento de Frangos da Raça Castellana Negra

Rafaela de Carvalho Salvador; Natiele Almeida Gonzaga; Edilene Cristina Pedroso  Azarias; Adriele Aparecida Pereira; Tales Jesus Fernandes

doi:10.5433/1679-0375.2025.v46.51832

Test of Equality of Parameters in Growth Curves of Black Castellana Chickens

Authors

Rafaela de Carvalho Salvador Universidade Federal de Lavras https://orcid.org/0000-0001-7519-7280
Natiele Almeida Gonzaga Universidade Federal de Lavras https://orcid.org/0000-0002-4916-9056
Edilene Cristina Pedroso Azarias Universidade Federal de Lavras https://orcid.org/0000-0002-5580-3754
Adriele Aparecida Pereira Universidade Federal de Alfenas https://orcid.org/0000-0003-4291-8218
Tales Jesus Fernandes Universidade Federal de Lavras https://orcid.org/0000-0002-1457-9653

DOI:

https://doi.org/10.5433/1679-0375.2025.v46.51832

Keywords:

likelihood ratio test, Gompertz model, sexual dimorphism

Abstract

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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Author Biographies

Rafaela de Carvalho Salvador, Universidade Federal de Lavras

PhD candidate in Statistics and Agricultural Experimentation, UFLA, Lavras, MG, Brazil.

Natiele Almeida Gonzaga, Universidade Federal de Lavras

PhD in Statistics and Agricultural Experimentation, UFLA, Lavras, MG, Brazil.

Edilene Cristina Pedroso Azarias, Universidade Federal de Lavras

PhD candidate in Statistics and Agricultural Experimentation, UFLA, Lavras, MG, Brazil.

Adriele Aparecida Pereira, Universidade Federal de Alfenas

Prof. Dr. , Institute of Applied Social Sciences, Unifal, Varginha, MG, Brazil

Tales Jesus Fernandes, Universidade Federal de Lavras

Prof. Dr., Department of Statistics, UFLA, Lavras, Minas Gerais, Brazil

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