ArticleScientific reports2017
Identification of genomic regions for grain yield and yield stability and their epistatic interactions.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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Who cites it
59 citing papers in PubMed.
- Multi-parent mapping reveals epistatic architecture and elite haplotypes for multi-trait improvement in cotton.Genome biology · 2026Article
- Towards smart agriculture: AI-driven prediction of key genes for revolutionizing crop breeding.Planta · 2025Review
- Genomic wide association study and selective sweep analysis identify genes associated with improved yield under drought in Turkish winter wheat germplasm.Scientific reports · 2024Article
- New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study.BMC plant biology · 2024Article
- Genetic analyses and prediction for lodging‑related traits in a diverse Iranian hexaploid wheat collection.Scientific reports · 2024Article
- Genomic regions of durum wheat involved in water productivity.Journal of experimental botany · 2024Article
- Genomic characterisation and dissection of the onset of resistance to acetyl CoA carboxylase-inhibiting herbicides in a large collection ofFrontiers in genetics · 2024Article
- Genome wide association in Spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Article
- Analysis of genetic diversity and genome-wide association study for drought tolerance related traits in Iranian bread wheat.BMC plant biology · 2023Article
- Genome-wide association mapping in elite winter wheat breeding for yield improvement.Journal of applied genetics · 2023Article
- GWAS for Early-Establishment QTLs and Their Linkage to Major Phenology-Affecting Genes (Genes · 2023Article
- More than 1000 genotypes are required to derive robust relationships between yield, yield stability and physiological parameters: a computational study on wheat crop.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- GWAS and genomic prediction for pre-harvest sprouting tolerance involving sprouting score and two other related traits in spring wheat.Molecular breeding : new strategies in plant improvement · 2023Article
- Wheat Omics: Advancements and Opportunities.Plants (Basel, Switzerland) · 2023Review
- Editorial: Current advances in genomics and gene editing tools for crop improvement in a changing climate scenario.Frontiers in genetics · 2023Article
- Genome-wide association mapping and genomic prediction of agronomical traits and breeding values in Iranian wheat under rain-fed and well-watered conditions.BMC genomics · 2022Article
- High-Density Linkage Mapping of Agronomic Trait QTLs in Wheat under Water Deficit Condition using Genotyping by Sequencing (GBS).Plants (Basel, Switzerland) · 2022Article
- GWAS for main effects and epistatic interactions for grain morphology traits in wheat.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022Article
- Genetic Aspects and Molecular Causes of Seed Longevity in Plants-A Review.Plants (Basel, Switzerland) · 2022Review
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6 authors.
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Abstract
The task of identifying genomic regions conferring yield stability is challenging in any crop and requires large experimental data sets in conjunction with complex analytical approaches. We report findings of a first attempt to identify genomic regions with stable expression and their individual epistatic interactions for grain yield and yield stability in a large elite panel of wheat under multiple environments via a genome wide association mapping (GWAM) approach. Seven hundred and twenty lines were genotyped using genotyping-by-sequencing technology and phenotyped for grain yield and phenological traits. High gene diversity (0.250) and a moderate genetic structure (five groups) in the panel provided an excellent base for GWAM. The mixed linear model and multi-locus mixed model analyses identified key genomic regions on chromosomes 2B, 3A, 4A, 5B, 7A and 7B. Further, significant epistatic interactions were observed among loci with and without main effects that contributed to additional variation of up to 10%. Simple stepwise regression provided the most significant main effect and epistatic markers resulting in up to 20% variation for yield stability and up to 17% gain in yield with the best allelic combination.
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