ArticleG3 (Bethesda, Md.)2020
Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm.
Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 34 citations in OpenAlex.
- Enhancing the prediction accuracy of groundnut yield by integrating significant markers and modeling genotype × environment interaction.The plant genome · 2025Article
- Environment ensemble models for genomic prediction in common bean (Phaseolus vulgaris L.).The plant genome · 2025Article
- Sparse testing designs for optimizing resource allocation in multi-environment cassava breeding trials.The plant genome · 2025Article
- Genomic prediction of the performance of tropical doubled haploid maize lines under artificial Striga hermonthica (Del.) Benth. infestation.G3 (Bethesda, Md.) · 2024Article
- Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat (Triticum aestivum L.).The plant genome · 2023Article
- Genomic selection for genotype performance and environmental stability in Coffea canephora.G3 (Bethesda, Md.) · 2023Article
- Quantitative trait loci and candidate genes for iron and zinc bio-fortification in genetically diverse germplasm of maize (Heliyon · 2022Review
- Genomic prediction of zinc-biofortification potential in rice gene bank accessions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Genomic approaches for improving grain zinc and iron content in wheat.Frontiers in genetics · 2022Review
- Impact of early genomic prediction for recurrent selection in an upland rice synthetic population.G3 (Bethesda, Md.) · 2021Article
- From gene banks to farmer's fields: using genomic selection to identify donors for a breeding program in rice to close the yield gap on smallholder farms.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Genome-wide association study suggests an independent genetic basis of zinc and cadmium concentrations in fresh sweet corn kernels.G3 (Bethesda, Md.) · 2021Article
- Genetic dissection of maize disease resistance and its applications in molecular breeding.Molecular breeding : new strategies in plant improvement · 2021Review
- High-resolution genome-wide association study pinpoints metal transporter and chelator genes involved in the genetic control of element levels in maize grain.G3 (Bethesda, Md.) · 2021Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Zinc (Zn) deficiency is a major risk factor for human health, affecting about 30% of the world's population. To study the potential of genomic selection (GS) for maize with increased Zn concentration, an association panel and two doubled haploid (DH) populations were evaluated in three environments. Three genomic prediction models, M (M1: Environment + Line, M2: Environment + Line + Genomic, and M3: Environment + Line + Genomic + Genomic x Environment) incorporating main effects (lines and genomic) and the interaction between genomic and environment (G x E) were assessed to estimate the prediction ability (
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Registered trials
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.