SciELO - Scientific Electronic Library Online

 
vol.66 issue1Soil CO2 emission of sugarcane fields as affected by topographySpatial pattern detection modeling of thrips (Thrips tabaci) on onion fields author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Scientia Agricola

On-line version ISSN 1678-992X

Abstract

GIOLO, Suely Ruiz; HENDERSON, Robin  and  DEMETRIO, Clarice Garcia Borges. Mixed-effects growth curves in the valuation of Nellore sires. Sci. agric. (Piracicaba, Braz.) [online]. 2009, vol.66, n.1, pp. 84-89. ISSN 1678-992X.  http://dx.doi.org/10.1590/S0103-90162009000100012.

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.

Keywords : beef cattle; logistic model; longitudinal data; random effects.

        · abstract in Portuguese     · text in English     · English ( pdf epdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License