Non-linear mixed models in the study of growth of naturalized chickens



Título del documento: Non-linear mixed models in the study of growth of naturalized chickens
Revista: Revista Brasileira de Zootecnia
Base de datos: PERIÓDICA
Número de sistema: 000445528
ISSN: 1516-3598
Autores: 1
2
3
3
Instituciones: 1Universidade Federal do Piaui, Teresina, Piaui. Brasil
2Universidade Estadual do Piaui, Centro de Ciencias Agrarias, Teresina, Piaui. Brasil
3Universidade Federal do Piaui, Departamento de Zootecnia, Teresina, Piaui. Brasil
Año:
Volumen: 49
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés This study was conducted to examine the inclusion of random effects in non-linear models, identify the most suitable models, and describe the growth of naturalized chickens. Live-weight records of 166 birds of the Graúna Dourada, Nordestina, and Teresina ecotypes were estimated. The asymptotic weight (A), integration constant, related to animal initial weight (B), and the maturing rate (k) parameters of the non-linear Gompertz, Logistic, and von Bertalanffy models were estimated and adjusted using the Gauss-Newton method. Residual variance decreased by more than 50% when random effects were added to the model. The best fits in the estimate of the growth curve of females were obtained by associating the random effects with the three parameters of the Gompertz and Logistic models. The association of random effects with two parameters (asymptotic weight and maturing rate) and with the three parameters of the Logistic model provided the best fits for the males. The Teresina ecotype has the highest adult weight in both sexes, despite its slower growth. The opposite is true for the Graúna Dourada ecotype, formed by lighter and earlier-growing animals. The inclusion of random effects in models provides greater accuracy in the estimate of the growth curve
Disciplinas: Medicina veterinaria y zootecnia
Palabras clave: Aves de corral,
Modelos mixtos,
Modelos no lineales,
Crecimiento,
Modelo de Gompertz,
Fenotipos
Keyword: Poultry,
Mixed models,
Nonlinear models,
Gompertz model,
Growth,
Phenotypes
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