ArticlePloS one2020
Quantitative trait loci for agronomic traits in tetraploid wheat for enhancing grain yield in Kazakhstan environments.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 45 citations in OpenAlex.
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- QTL mapping for the flag leaf-related traits using RILs derived from Trititrigia germplasm line SN304 and wheat cultivar Yannong15 in multiple environments.BMC plant biology · 2024Article
- High-throughput phenotyping using hyperspectral indicators supports the genetic dissection of yield in durum wheat grown under heat and drought stress.Frontiers in plant science · 2024Article
- Genomics for Yield and Yield Components in Durum Wheat.Plants (Basel, Switzerland) · 2023Review
- Genome-wide association analysis of spike and kernel traits in the U.S. hard winter wheat.The plant genome · 2023Article
- Validation and marker-assisted selection of DArT-genomic regions associated with wheat yield-related traits under normal and drought conditions.Frontiers in genetics · 2023Article
- Genome-Wide Association Study of Leaf Rust and Stem Rust Seedling and Adult Resistances in Tetraploid Wheat Accessions Harvested in Kazakhstan.Plants (Basel, Switzerland) · 2022Article
- Article
- Marker-trait association analyses revealed major novel QTLs for grain yield and related traits in durum wheat.Frontiers in plant science · 2022Article
- Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies.Molecular breeding : new strategies in plant improvement · 2022Review
- Genotyping Platforms for Genome-Wide Association Studies: Options and Practical Considerations.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Article
- Identification of Quantitative Trait Loci Hotspots Affecting Agronomic Traits and High-Throughput Vegetation Indices in Rainfed Wheat.Frontiers in plant science · 2021Article
- Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods.Frontiers in plant science · 2021Article
- Article
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Durum wheat (Triticum turgidum L. ssp. durum) is one of the top crops in Kazakhstan, where it is cultivated in different ecological niches, mainly at higher latitudes in the steppe zone of the northern region. Therefore, local breeding programs for durum wheat are primarily focused on selection for high productivity in Northern Kazakhstan based on the introduction of promising foreign germplasm and the adoption of marker-assisted selection. In this study, a world tetraploid wheat collection consisted of 184 primitive and domesticated accessions, which were previously genotyped using 16,425 polymorphic SNP markers, was field-tested in Northern and South-eastern Kazakhstan. The field tests have allowed the identification of 80 durum wheat promising lines in Northern Kazakhstan in comparison with a local standard cultivar. Also, GGE (Genotype and Genotype by Environment) biplot analyses for yield performance revealed that accessions of T. dicoccum, T. carthlicum, and T. turanicum also have potential to improve durum wheat yield in the region. The genome-wide association study (GWAS) has allowed the identification of 83 MTAs (marker-trait associations) for heading date, seed maturation time, plant height, spike length, number of fertile spikes, number of kernels per spike, and thousand kernel weight. The comparison of the 83 identified MTAs with those previously reported in GWAS for durum wheat suggests that 38 MTAs are presumably novel, while the co-localization of a large number of MTAs with those previously published confirms the validity of the results of this study. The MTAs reported herewith will provide the opportunity to implement marker-assisted selection in ongoing durum wheat breeding projects targeting higher productivity in the region.
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