Article

Multi-trait regressor stacking increased genomic prediction accuracy of sorghum grain composition

2020-04-03

Abstract excerpt

Cereal grains, primarily composed of starch, protein, and fat, are major source of staple for human and animal nutrition. Sorghum, a cereal crop, serves as a dietary staple for over half a billion people in the semi-arid tropics of Africa and South Asia. Genomic prediction has enabled plant breeders to estimate breeding values of unobserved genotypes and environments. Therefore, the use of genomic prediction will...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 36e6021b-c140-5483-8d67-752aa31a9919
DOI: 10.1101/2020.04.03.023531

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multi-trait regressor stacking increased genomic prediction accuracy of sorghum grain compositionDOI 10.1101/2020.04.03.023531Read

Performance of multi-trait and single-trait genomic selection for grain Fe and Zn concentrations in sorghum under different breeding constraints.Semantic proximity Read

Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi-kernel genomic prediction models integrating secondary traits and environmental covariates.Semantic proximity Read

Multi-Trait Genomic Prediction of Yield-Related Traits in US Soft Wheat under Variable Water Regimes.Semantic proximity Read

Evaluation of RR-BLUP Genomic Selection Models that Incorporate Peak Genome-Wide Association Study Signals in Maize and Sorghum.Semantic proximity Read

Assessing combining abilities, genomic data, and genotype × environment interactions to predict hybrid grain sorghum performance.Semantic proximity Read

Accuracy of prediction from multi-environment trials for new locations using pedigree information and environmental covariates: the case of sorghum (Sorghum bicolor (L.) Moench) breeding.Semantic proximity Read

Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum.Semantic proximity Read

Use of multiple traits genomic prediction, genotype by environment interactions and spatial effect to improve prediction accuracy in yield data.Semantic proximity Read

Accuracies of univariate and multivariate genomic prediction models in African cassava.Semantic proximity Read

Increased prediction accuracy in wheat breeding trials using a marker × environment interaction genomic selection model.Semantic proximity Read

Genome-wide association studies and prediction of 17 traits related to phenology, biomass and cell wall composition in the energy grass Miscanthus sinensis.Semantic proximity Read

Multiple-trait- and selection indices-genomic predictions for grain yield and protein content in rye for feeding purposes.Semantic proximity Read