Document Detail

Random regression models on Legendre polynomials to estimate genetic parameters for weights from birth to adult age in Canchim cattle.
MedLine Citation:
PMID:  20646116     Owner:  NLM     Status:  In-Process    
The objective of this work was to estimate covariance functions for direct and maternal genetic effects, animal and maternal permanent environmental effects, and subsequently, to derive relevant genetic parameters for growth traits in Canchim cattle. Data comprised 49,011 weight records on 2435 females from birth to adult age. The model of analysis included fixed effects of contemporary groups (year and month of birth and at weighing) and age of dam as quadratic covariable. Mean trends were taken into account by a cubic regression on orthogonal polynomials of animal age. Residual variances were allowed to vary and were modelled by a step function with 1, 4 or 11 classes based on animal's age. The model fitting four classes of residual variances was the best. A total of 12 random regression models from second to seventh order were used to model direct and maternal genetic effects, animal and maternal permanent environmental effects. The model with direct and maternal genetic effects, animal and maternal permanent environmental effects fitted by quadric, cubic, quintic and linear Legendre polynomials, respectively, was the most adequate to describe the covariance structure of the data. Estimates of direct and maternal heritability obtained by multi-trait (seven traits) and random regression models were very similar. Selection for higher weight at any age, especially after weaning, will produce an increase in mature cow weight. The possibility to modify the growth curve in Canchim cattle to obtain animals with rapid growth at early ages and moderate to low mature cow weight is limited.
F Baldi; L G Albuquerque; M M Alencar
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of animal breeding and genetics = Zeitschrift für Tierzüchtung und Züchtungsbiologie     Volume:  127     ISSN:  1439-0388     ISO Abbreviation:  J. Anim. Breed. Genet.     Publication Date:  2010 Aug 
Date Detail:
Created Date:  2010-07-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100955807     Medline TA:  J Anim Breed Genet     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  289-99     Citation Subset:  IM    
Animal Science Departament, FCAV, University of São Paulo State, 14884 000, Jaboticabal (SP), Brazil.
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