Now showing items 1-8 of 8
Factors affecting the accuracy of genotype imputation in populations from several maize breeding programs
Genomic selection and association mapping offer great potential to increase rates of genetic progress in plants. The prediction of genomic breeding values usually requires that missing genotypes be imputed because a ...
Genomic prediction in maize breeding populations with genotyping-by sequencing
(Genetics Society of America, 2013)
Genotyping-by-sequencing (GBS) technologies have proven capacity for delivering large numbers of marker genotypes with potentially less ascertainment bias than standard single nucleotide polymorphism (SNP) arrays. Therefore, ...
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 ...
Use of genomic estimated breeding values results in rapid genetic gains for drought tolerance in maize
(Crop Science Society of America, 2017)
More than 80% of the 19 million ha of maize (Zea mays L.) in tropical Asia is rainfed and prone to drought. The breeding methods for improving drought tolerance (DT), including genomic selection (GS), are geared to ...
Genome-enabled prediction of genetic values using radial basis function neural networks
(Springer Verlag, 2012)
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 ...
QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance
(Springer Verlag, 2012)
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 ...
Genomic prediction in CIMMYT maize and wheat breeding programs
(Nature Publishing Group; Genetics Society; Genetics Society of Great Britain, 2014)
Genomic selection (GS) has been implemented in animal and plant species, and is regarded as a useful tool for accelerating genetic gains. Varying levels of genomic prediction accuracy have been obtained in plants, depending ...
Molecular mapping across three populations reveals a QTL hotspot region on chromosome 3 for secondary traits associated with drought tolerance in tropical maize
(Springer; Springer Nature, 2014)
Identifying quantitative trait loci (QTL) of sizeable effects that are expressed in diverse genetic backgrounds across contrasting water regimes particularly for secondary traits can significantly complement the conventional ...