Now showing items 1-3 of 3
QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance
Despite numerous published reports of quantitative trait loci (QTL) for drought-related traits, practical applications of such QTL in maize improvement are scarce. Identifying QTL of sizeable effects that express more or ...
Genome-enabled prediction of genetic values using radial basis function neural networks
The availability of high density panels of molecular markers has prompted the adoption of genomic selection (GS) methods in animal and plant breeding. In GS, parametric, semi-parametric and non-parametric regressions models ...
Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments
(Genetics Society of America, 2012)
Genomic prediction is expected to considerably increase genetic gains by increasing selection intensity and accelerating the breeding cycle. In this study, marker effects estimated in 255 diverse maize (Zea mays L.) hybrids ...