Prediction of genotypic values of maize hybrids in unbalanced experiments
The objective of this study was to evaluate whether the REML/BLUP can be useful for predicting the genotypicvalues of maize hybrids in a group of unbalanced experiments. A set of 256 single-crosses were evaluated in 13 environmentsfor grain yield, plant height and plant lodging. Sets of hybrids with...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Brazilian Society of Plant Breeding
2010-01-01
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| Series: | Crop Breeding and Applied Biotechnology |
| Subjects: | |
| Online Access: | http://www.sbmp.org.br/cbab/siscbab/uploads/c8eb9793-f9f1-489b.pdf |
| Summary: | The objective of this study was to evaluate whether the REML/BLUP can be useful for predicting the genotypicvalues of maize hybrids in a group of unbalanced experiments. A set of 256 single-crosses were evaluated in 13 environmentsfor grain yield, plant height and plant lodging. Sets of hybrids within environments and sets of environments were withdrawnfrom the experiments to simulate unbalanced data, and the hybrid predictions of the unbalanced data were computed by theREML/BLUP, simulated using the bootstrap resampling procedure. The coefficients of determination and percentage ofselection coincidence were computed for the predicted genotypic values of unbalanced data and their means from the balanceddata. The REML/BLUP method accurately predicted the genotypic values of missing hybrids under losses of up to 20% ofhybrids within environments or a reduction of 23% of the environments, even in the presence of significant and complexhybrid x environment interaction. |
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| ISSN: | 1518-7853 1984-7033 |