SciELO - Scientific Electronic Library Online

vol.31 issue1Genetic variability and efficiency of DNA microsatellite markers for paternity testing in horse breeds from the Brazilian Marajó archipelagoGenetic diversity in section Rhizomatosae of the genus Arachis (Fabaceae) based on microsatellite markers author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links


Genetics and Molecular Biology

Print version ISSN 1415-4757On-line version ISSN 1678-4685


NUNES, José Airton Rodrigues; RAMALHO, Magno Antonio Patto  and  FERREIRA, Daniel Furtado. Inclusion of genetic relationship information in the pedigree selection method using mixed models. Genet. Mol. Biol. [online]. 2008, vol.31, n.1, pp.73-78. ISSN 1415-4757.

We used a mixed model approach and computer simulation to evaluate the inclusion of parentage information as determined by the genealogy established in the pedigree method. The simulations were based on a purely additive genetic model for one quantitative trait of 20 unlinked segregating loci with equal effects and an allelic frequency of 0.5 for heritability values of 10%, 25%, 50% and 75% for selection based on an F4:5 progeny mean. We simulated 1000 experiments for each heritability value, corresponding to the evaluation of 256 F4:5 progenies. The phenotypic values of the progenies were analyzed according to two models, one ignoring and one considering the additive genetic parentage among the progenies. The additive relationship coefficients among F4:5 progenies ranged from 0.0 to 1.75. The evaluated selection procedures were the phenotypic progeny mean (M) and the best linear unbiased predictor including parentage (BLUPA). The inclusion of parentage among progenies using the BLUPA procedure resulted in higher selection gains than when the relationship information was ignored, which possibly recompenses the additional work invested to obtain these records, above all in the case of low - heritability traits.

Keywords : autogamous crops; BLUP; computer simulation; plant breeding.

        · 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