Mixed model approaches for the identification of QTLs within a maize hybrid breeding program

Abstract

Two outlines for mixed model based approaches to quantitative trait locus (QTL) mapping in existing maize hybrid selection programs are presented: a restricted maximum likelihood (REML) and a Bayesian Markov Chain Monte Carlo (MCMC) approach. The methods use the in-silico-mapping procedure developed by Parisseaux and Bernardo (2004) as a starting point. The… (More)
DOI: 10.1007/s00122-009-1205-0

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