ArticleHeredity2016
Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement.
Article in Heredity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers, 2 of them syntheses that pooled it.
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Who cites it
195 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review.Frontiers in plant science · 2021Pooled it
- Meta-QTL analysis of seed iron and zinc concentration and content in common bean (Phaseolus vulgaris L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018Pooled it
- Evaluating reaction norm and fixed effect models for genomic selection of end-use quality in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Candidate genes with antagonistic roles in stomatal development are associated with population-wide variation in apple.Horticulture research · 2026Article
- Mul-PheG2P: decoupled learning and prediction-space fusion enables robust and interpretable multi-phenotype genomic prediction.The New phytologist · 2026Article
- Review
- Functional genomic dissection and prediction of body size traits in pigs.Genetics, selection, evolution : GSE · 2026Article
- Highly Polygenic Control of Photosynthetic Responses to Nighttime Temperature Studied by Genomic Prediction.Plant, cell & environment · 2026Article
- Haplotype Analysis of the Wx and SSIIa Genes and Their Association with Starch Physicochemical Properties in Diverse Rice Germplasm.Molecular biotechnology · 2026Review
- Genome-wide detection and genomic selection based on genotype-by-environment interaction-associated signals for yak coat color.BMC genomics · 2026Article
- Genomic prediction of wild-derived powdery mildew resistance for strawberry (Fragaria × ananassa) pre-breeding.Heredity · 2026Article
- Genetic characteristics and agronomic traits in leafy head Chinese cabbage breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome-wide association and genomic prediction of anthracnose (Colletotrichum dematium) resistance in spinach.The plant genome · 2026Article
- Genetic control of wheat flour end-use quality and rheology by genome-wide association studies.The plant genome · 2026Article
- Integrating GWAS-guided markers preselection with genomic selection enhances prediction of pulpwood-related traits in slash pine (Pinus elliottii Englem.).BMC plant biology · 2026Article
- GAPIT version 4: integration of GWAS into genomic prediction.Molecular biology and evolution · 2026Article
- Leveraging weighted embedding and Transformer architecture to improve phenotype prediction of complex traits for crops.Nature communications · 2026Article
- Enhancing genomic prediction ability of blast resistance using genome-wide association study-derived marker weights in two rice (Oryza sativa L.) populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome-wide association study and genomic prediction of bolting trait in spinach (Frontiers in plant science · 2026Article
- Comparing wMAS, GWAS, and genomic prediction for selecting powdery mildew-resistant spring barley genotypes.BMC genomics · 2025Article
135 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To address the multiple challenges to food security posed by global climate change, population growth and rising incomes, plant breeders are developing new crop varieties that can enhance both agricultural productivity and environmental sustainability. Current breeding practices, however, are unable to keep pace with demand. Genomic selection (GS) is a new technique that helps accelerate the rate of genetic gain in breeding by using whole-genome data to predict the breeding value of offspring. Here, we describe a new GS model that combines RR-BLUP with markers fit as fixed effects selected from the results of a genome-wide-association study (GWAS) on the RR-BLUP training data. We term this model GS + de novo GWAS. In a breeding population of tropical rice, GS + de novo GWAS outperformed six other models for a variety of traits and in multiple environments. On the basis of these results, we propose an extended, two-part breeding design that can be used to efficiently integrate novel variation into elite breeding populations, thus expanding genetic diversity and enhancing the potential for sustainable productivity gains.
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