ArticlePloS one2019
Genome-wide association mapping of grain yield in a diverse collection of spring wheat (Triticum aestivum L.) evaluated in southern Australia.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Article
- Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm.BMC plant biology · 2025Article
- Genomic dissection of terminal heat tolerance in synthetic hexaploid derived nested introgression libraries of wheat (Triticum aestivum L.).Functional & integrative genomics · 2025Article
- Genome-Wide Genetic Architecture for Common Scab (International journal of molecular sciences · 2025Article
- Identification of novel marker-trait associations for agronomic traits in bread wheat under WANA environments through GWAS.PloS one · 2025Article
- Article
- Genome-wide association analysis of grain yield and Striga hermonthica and S. asiatica resistance in tropical and sub-tropical maize populations.BMC plant biology · 2024Article
- TrG2P: A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield.Plant communications · 2024Article
- GWAS in a Collection of Bulgarian Old and Modern Bread Wheat Accessions Uncovers Novel Genomic Loci for Grain Protein Content and Thousand Kernel Weight.Plants (Basel, Switzerland) · 2024Article
- Using the Pearson's correlation coefficient as the sole metric to measure the accuracy of quantitative trait prediction: is it sufficient?Frontiers in plant science · 2024Article
- A new model construction based on the knowledge graph for mining elite polyphenotype genes in crops.Frontiers in plant science · 2024Article
- Natural variation and genetic loci underlying resistance to grain shattering in standing crop of modern wheat.Molecular genetics and genomics : MGG · 2023Article
- Genome-wide association mapping in elite winter wheat breeding for yield improvement.Journal of applied genetics · 2023Article
- Genome-wide association analysis of spike and kernel traits in the U.S. hard winter wheat.The plant genome · 2023Article
- Genome-wide genetic architecture for plant maturity and drought tolerance in diploid potatoes.Frontiers in genetics · 2023Article
- Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Identification ofInternational journal of molecular sciences · 2022Article
- Genome-wide association study identifies candidate genes and favorable haplotypes for seed yield inMolecular breeding : new strategies in plant improvement · 2022Article
- Sorghum Association Panel whole-genome sequencing establishes cornerstone resource for dissecting genomic diversity.The Plant journal : for cell and molecular biology · 2022Article
- Main effect and epistatic QTL affecting spike shattering and association with plant height revealed in two spring wheat (Triticum aestivum L.) populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wheat landraces, wild relatives and other 'exotic' accessions are important sources of new favorable alleles. The use of those exotic alleles is facilitated by having access to information on the association of specific genomic regions with desirable traits. Here, we conducted a genome-wide association study (GWAS) using a wheat panel that includes landraces, synthetic hexaploids and other exotic wheat accessions to identify loci that contribute to increases in grain yield in southern Australia. The 568 accessions were grown in the field during the 2014 and 2015 seasons and measured for plant height, maturity, spike length, spike number, grain yield, plant biomass, HI and TGW. We used the 90K SNP array and two GWAS approaches (GAPIT and QTCAT) to identify loci associated with the different traits. We identified 17 loci with GAPIT and 25 with QTCAT. Ten of these loci were associated with known genes that are routinely employed in marker assisted selection such as Ppd-D1 for maturity and Rht-D1 for plant height and seven of those were detected with both methods. We identified one locus for yield per se in 2014 on chromosome 6B with QTCAT and three in 2015, on chromosomes 4B and 5A with GAPIT and 6B with QTCAT. The 6B loci corresponded to the same region in both years. The favorable haplotypes for yield at the 5A and 6B loci are widespread in Australian accessions with 112 out of 153 carrying the favorable haplotype at the 5A locus and 136 out of 146 carrying the favorable haplotype at the 6A locus, while the favorable haplotype at 4B is only present in 65 out of 149 Australian accessions. The low number of yield QTL in our study corroborate with other GWAS for yield in wheat, where most of the identified loci have very small effects.
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