ArticleFrontiers in plant science2017
Genomic Selection for Drought Tolerance Using Genome-Wide SNPs in Maize.
Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.
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78 citing papers in PubMed, 178 citations in OpenAlex.
- Heat stress responses of plants during adaptation to high temperature environments: A review of recent advances and insights.Plant signaling & behavior · 2026Review
- Breeding climate-resilient maize for food security in semi-arid sub-Saharan Africa: strategies and future directions.Frontiers in plant science · 2026Review
- Ensemble of Bayesian alphabets via constraint weight optimization strategy improves genomic prediction accuracy.G3 (Bethesda, Md.) · 2025Article
- Genetic variation at transcription factor binding sites largely explains phenotypic heritability in maize.Nature genetics · 2025Article
- Improving genomic prediction of vitamin C content in spinach using GWAS-derived markers.BMC genomics · 2025Article
- Genome-wide association study and genomic prediction of leaf spot (Frontiers in plant science · 2025Article
- Genome-wide association analysis and genomic selection for leaf-related traits of maize.PloS one · 2025Article
- Enhancing genomic prediction inFrontiers in bioinformatics · 2025Article
- Genome and GWAS analyses for soybean cyst nematode resistance in USDA world-wide common bean (Frontiers in plant science · 2025Article
- Molecular mechanisms controlling grain size and weight and their biotechnological breeding applications in maize and other cereal crops.Journal of advanced research · 2024Review
- Pearl millet a promising fodder crop for changing climate: a review.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Review
- Advanced Biotechnological Interventions in Mitigating Drought Stress in Plants.Plants (Basel, Switzerland) · 2024Review
- Effects of SNP marker density and training population size on prediction accuracy in alfalfa (Medicago sativa L.) genomic selection.The plant genome · 2024Article
- Article
- Genome-wide association analysis and genomic prediction of salt tolerance trait in soybean germplasm.Frontiers in plant science · 2024Article
- A review of artificial intelligence-assisted omics techniques in plant defense: current trends and future directions.Frontiers in plant science · 2024Review
- Ameliorating the effects of multiple stresses on agronomic traits in crops: modern biotechnological and omics approaches.Molecular biology reports · 2023Review
- Article
- Salinity stress tolerance prediction for biomass-related traits in maize (Zea mays L.) using genome-wide markers.The plant genome · 2023Article
- Genome-Wide Association Study and Genomic Prediction of Fusarium Wilt Resistance in Common Bean Core Collection.International journal of molecular sciences · 2023Article
18 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional breeding strategies for selecting superior genotypes depending on phenotypic traits have proven to be of limited success, as this direct selection is hindered by low heritability, genetic interactions such as epistasis, environmental-genotype interactions, and polygenic effects. With the advent of new genomic tools, breeders have paved a way for selecting superior breeds. Genomic selection (GS) has emerged as one of the most important approaches for predicting genotype performance. Here, we tested the breeding values of 240 maize subtropical lines phenotyped for drought at different environments using 29,619 cured SNPs. Prediction accuracies of seven genomic selection models (ridge regression, LASSO, elastic net, random forest, reproducing kernel Hilbert space, Bayes A and Bayes B) were tested for their agronomic traits. Though prediction accuracies of Bayes B, Bayes A and RKHS were comparable, Bayes B outperformed the other models by predicting highest
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.