Estimation and prediction of parameters and breeding values in soybean using REML/BLUP and Least Squares
Agnaldo Donizete Ferreira de Carvalho, Roberto Fritsche Neto and Isaias Olívio Geraldi
Abstract: The aim of this study was to compare REML/BLUP and Least Square procedures in the prediction and estimation of genetic parameters and breeding values in soybean progenies, F>.; and F 4.5 progenies were evaluated in the 2005/06 growing season and the Fy.4 and F,., generations derived thereof were evaluated in 2006/07. These progenies were originated from two semi-early experimental lines that differ in grain yield. The experiments were conducted in a lattice design and plots consisted of a 2 m row, spaced 0,5 m apart. The trait grain yield per plot was evaluated. It was observed that early selection is more efficienftor the discrimination of the best lines from the Fy generation onwards. No practical differences were observed between the least square and REML/BLUP procedures in the case of the models and simplifications for REML/BLUP used here.