Similarity-in-state

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.

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