Mixed-effects growth curves in the valuation of Nellore sires

Authors

  • Suely Ruiz Giolo UFPR; Depto. de Estatística
  • Robin Henderson Newcastle University; School of Mathematics & Statistics
  • Clarice Garcia Borges Demétrio USP; ESALQ; Depto. de Ciências Exatas

DOI:

https://doi.org/10.1590/S0103-90162009000100012

Keywords:

beef cattle, logistic model, longitudinal data, random effects

Abstract

Cattle breeding programmes need objective criteria in order to evaluate and subsequently improve production systems. This work uses a logistic growth curve model for evaluating sires based on their progeny weight measured repeatedly over time. The parameters of the curve are described as a linear function of fixed and random effects. A Bayesian approach is used for the estimation. Analysis of the weights recorded on animals of the Nellore breed shows that growth curve models with fixed and random effects can be useful to evaluate and selecting sires.

Downloads

Downloads

Published

2009-02-01

Issue

Vol. 66 No. 1 (2009)

Section

Statistics

License

All content of the journal, except where identified, is licensed under a Creative Common attribution-type BY-NC.

How to Cite

Mixed-effects growth curves in the valuation of Nellore sires . (2009). Scientia Agricola, 66(1), 84-89. https://doi.org/10.1590/S0103-90162009000100012