Assessment of genetic heterogeneity in structured plant populations using multivariate whole-genome regression models
Plant breeding populations exhibit varying levels of structure and admixture; these features
are likely to induce heterogeneity of marker effects across subpopulations. Traditionally …
are likely to induce heterogeneity of marker effects across subpopulations. Traditionally …
Prediction and association mapping of agronomic traits in maize using multiple omic data
Genomic selection holds a great promise to accelerate plant breeding via early selection
before phenotypes are measured, and it offers major advantages over marker-assisted …
before phenotypes are measured, and it offers major advantages over marker-assisted …
Increased genomic prediction accuracy in wheat breeding using a large Australian panel
Key message Genomic prediction accuracy within a large panel was found to be
substantially higher than that previously observed in smaller populations, and also higher …
substantially higher than that previously observed in smaller populations, and also higher …
Multi-trait ensemble genomic prediction and simulations of recurrent selection highlight importance of complex trait genetic architecture for long-term genetic gains in …
Cereal crop breeders have achieved considerable genetic gain in genetically complex traits,
such as grain yield, while maintaining genetic diversity. However, focus on selection for yield …
such as grain yield, while maintaining genetic diversity. However, focus on selection for yield …
[HTML][HTML] Novel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data
Key message Weighted outperformed unweighted genomic prediction using an unbalanced
dataset representative of a commercial breeding program. Moreover, the use of the two …
dataset representative of a commercial breeding program. Moreover, the use of the two …
Genomic prediction in maize breeding populations with genotyping-by-sequencing
Abstract Genotyping-by-sequencing (GBS) technologies have proven capacity for delivering
large numbers of marker genotypes with potentially less ascertainment bias than standard …
large numbers of marker genotypes with potentially less ascertainment bias than standard …
Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maize
Maize (Zea mays L.) serves as model plant for heterosis research and is the crop where
hybrid breeding was pioneered. We analyzed genomic and phenotypic data of 1254 hybrids …
hybrid breeding was pioneered. We analyzed genomic and phenotypic data of 1254 hybrids …
Improving genomic selection with quantitative trait loci and nonadditive effects revealed by empirical evidence in maize
X Liu, H Wang, X Hu, K Li, Z Liu, Y Wu… - Frontiers in Plant …, 2019 - frontiersin.org
Genomic selection (GS), a tool developed for molecular breeding, is used by plant breeders
to improve breeding efficacy by shortening the breeding cycle and to facilitate the selection …
to improve breeding efficacy by shortening the breeding cycle and to facilitate the selection …
Genomic models with genotype× environment interaction for predicting hybrid performance: an application in maize hybrids
R Acosta-Pech, J Crossa, G de Los Campos… - Theoretical and Applied …, 2017 - Springer
Key message A new genomic model that incorporates genotype× environment interaction
gave increased prediction accuracy of untested hybrid response for traits such as percent …
gave increased prediction accuracy of untested hybrid response for traits such as percent …
[HTML][HTML] Plant genotype to phenotype prediction using machine learning
Genomic prediction tools support crop breeding based on statistical methods, such as the
genomic best linear unbiased prediction (GBLUP). However, these tools are not designed to …
genomic best linear unbiased prediction (GBLUP). However, these tools are not designed to …