2012
DOI: 10.1007/s11250-012-0161-x
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Analysis of longitudinal data of beef cattle raised on pasture from northern Brazil using nonlinear models

Abstract: This study was undertaken to aim of estimating the genetic parameters and trends for asymptotic weight (A) and maturity rate (k) of Nellore cattle from northern Brazil. The data set was made available by the Brazilian Association of Zebu Breeders and collected between the years of 1997 and 2007. The Von Bertalanffy, Brody, Gompertz, and logistic nonlinear models were fitted by the Gauss-Newton method to weight-age data of 45,895 animals collected quarterly of the birth to 750 days old. The curve parameters wer… Show more

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Cited by 12 publications
(15 citation statements)
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“…Selection of animals based on growth traits can lead to changes in the growth curve (Lopes et al, 2012). Several investigators have employed nonlinear models in studies of the growth of beef cattle using weights over time (Brown et al, 1976;Perotto et al, 1992;Lopes et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
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“…Selection of animals based on growth traits can lead to changes in the growth curve (Lopes et al, 2012). Several investigators have employed nonlinear models in studies of the growth of beef cattle using weights over time (Brown et al, 1976;Perotto et al, 1992;Lopes et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Several investigators have employed nonlinear models in studies of the growth of beef cattle using weights over time (Brown et al, 1976;Perotto et al, 1992;Lopes et al, 2012). However, investigations of development of carcass traits as a function of animal age using nonlinear models are rare.…”
Section: Introductionmentioning
confidence: 99%
“…Varias son las investigaciones que reportan el ajuste a modelos no lineales de tipo: Brody, Bertalanffy, Gompertz y Logística a datos empíricos con un alto grado de satisfacción en diferentes especies de animales domésticos (Domínguez et al, 2014;Lopes et al, 2012;Malhado et al, 2008;Posada et al, 2011;Veroneze, et al, 2008). Estos modelos presentan parámetros con interpretación biológica, uno definido como constante matemática.…”
Section: Discussionunclassified
“…En las Tablas 6. se observa que todos los modelos obtuvieron un buen ajuste en relación a R2 superior a 98 % en ambas razas, la que mostró pequeñas variaciones en todos los modelos estudiados, indican que una alta proporción de la variación observada fue explicada por los modelos en estudio. En este contexto, puede considerarse a dichos modelos como adecuados para l a p r e d i c c i ó n d e l c r e c i m i e n t o e n l l a m a s ; especialmente a los modelos: Brody y Logístico, resultados congruentes fueron encontrados por Canaza-Cayo et al, (2015) en llamas, Lopes et al, (2012) Este mismo criterio se asume para: Varianza del Error de Predicción (VEP), parámetro a tener en cuenta para elegir el modelo de crecimiento que mejor describe a la data, el criterio es similar que EPP, es decir, cuanto menor es su valor mejor es el ajuste. En este sentido los modelos Brody y Bertalanffy son los que mejor ajustan a la data en estudio, siendo estos más eficientes en llamas de la raza Chaco.…”
Section: Discussionunclassified
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