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Provedor de dados:  R. Bras. Zootec.
País:  Brazil
Título:  Modeling of average growth curve in Santa Ines sheep using random regression models
Autores:  Sarmento,José Lindenberg Rocha
Torres,Robledo de Almeida
Sousa,Wandrick Hauss de
Albuquerque,Lucia Galvão de
Lôbo,Raimundo Nonato Braga
Sousa,José Ernandes Rufino de
Data:  2011-02-01
Ano:  2011
Palavras-chave:  Animal model
Breeding values
Fixed regression
Hairless sheep
Heritability
Polynomial functions
Resumo:  Polynomial functions of age of different orders were evaluated in the modeling of the average growth trajectory in Santa Ines sheep in random regression models. Initially, the analyses were performed not considering the animal effect. Subsequently, the random regression analyses were performed including the random effects of the animal and its mother (genetic and permanent environment). The linear fit was lower, and the other orders were similar until near 100 days of age. The cubic function provided the closest fit of the observed averages, mainly at the end of the curve. Orders superior to this one tended to present incoherent behavior with the observed weights. The estimated direct heritabilities, considering the linear fit, were higher to those estimated by considering other functions. The changes in animal ranking based on predicted breeding values using linear fit and superior orders were small; however, the difference in magnitude of the predicted breeding values was higher, reaching values 77% higher than those obtained with the cubic function. The cubic polynomial function is efficient in describing the average growth curve.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982011000200012
Editor:  Sociedade Brasileira de Zootecnia
Relação:  10.1590/S1516-35982011000200012
Formato:  text/html
Fonte:  Revista Brasileira de Zootecnia v.40 n.2 2011
Direitos:  info:eu-repo/semantics/openAccess
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