Untested hybrids

Prediction of maize single-cross performance by mixed linear models with microsatellite marker information

M. Balestre, Von Pinho, R. G., and Souza, J. C., Prediction of maize single-cross performance by mixed linear models with microsatellite marker information, vol. 9, pp. 1054-1068, 2010.

We evaluated the potential of the best linear unbiased predictor (BLUP) along with the relationship coefficient for predicting the performance of untested maize single-cross hybrids. Ninety S0:2 progenies arising from three single-cross hybrids were used. The 90 progenies were genotyped with 25 microsatellite markers, with nine markers linked to quantitative trait loci for grain yield. Based on genetic similarities, 17 partial inbred lines were selected and crossed in a partial diallel design.

Prediction of maize hybrid performance using similarity in state and similarity by descent information

D. V. Ferreira, Von Pinho, R. G., Balestre, M., and Oliveira, R. L., Prediction of maize hybrid performance using similarity in state and similarity by descent information, vol. 9, pp. 2381-2394, 2010.

We evaluated the efficiency of the best linear unbiased predictor (BLUP) and the influence of the use of similarity in state (SIS) and similarity by descent (SBD) in the prediction of untested maize hybrids. Nine inbred lines of maize were crossed using a randomized complete diallel method. These materials were genotyped with 48 microsatellite markers (SSR) associated with the QTL regions for grain yield.

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