ArticleBMC genomics2022
Genetic architecture of end-use quality traits in soft white winter wheat.
Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 15 citations in OpenAlex.
- Genomic insights into end-use grain quality and nutritional traits of an ancient Indian dwarf wheat ( Triticum sphaerococcum Percival) population using a multi-locus genome-wide association study.Journal of the science of food and agriculture · 2026Article
- Identification of septoria nodorum blotch susceptibility genes in hard winter wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genetic dissection of gluten characteristics based on single- and multi-locus genome-wide association studies in wheat (Food chemistry. Molecular sciences · 2026Article
- Identification of stripe rust adult plant resistance genes in the hard winter wheat cultivar Baker's Ann.The plant genome · 2026Article
- Uncover the genetic basis of processing quality related traits in common wheat (Frontiers in plant science · 2026Article
- The Role ofInternational journal of molecular sciences · 2025Review
- Implementing marker covariates and multi-trait genomic selection models to improve grain milling, appearance, cooking, and edible quality in rice (Oryza sativa L.).The plant genome · 2025Article
- Genome-wide association mapping for the identification of stripe rust resistance loci in US hard winter wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Identification of leaf rust resistance loci in hard winter wheat using genome-wide association mapping.The plant genome · 2025Article
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- Elucidation of the genetic architecture of water absorption capacity in hard winter wheat through genome wide association study.The plant genome · 2024Article
- Implementing multi-trait genomic selection to improve grain milling quality in oats (Avena sativa L.).The plant genome · 2024Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundGenetic improvement of end-use quality is an important objective in wheat breeding programs to meet the requirements of grain markets, millers, and bakers. However, end-use quality phenotyping is expensive and laborious thus, testing is often delayed until advanced generations. To better understand the underlying genetic architecture of end-use quality traits, we investigated the phenotypic and genotypic structure of 14 end-use quality traits in 672 advanced soft white winter wheat breeding lines and cultivars adapted to the Pacific Northwest region of the United States.
resultsThis collection of germplasm had continuous distributions for the 14 end-use quality traits with industrially significant differences for all traits. The breeding lines and cultivars were genotyped using genotyping-by-sequencing and 40,518 SNP markers were used for association mapping (GWAS). The GWAS identified 178 marker-trait associations (MTAs) distributed across all wheat chromosomes. A total of 40 MTAs were positioned within genomic regions of previously discovered end-use quality genes/QTL. Among the identified MTAs, 12 markers had large effects and thus could be considered in the larger scheme of selecting and fixing favorable alleles in breeding for end-use quality in soft white wheat germplasm. We also identified 15 loci (two of them with large effects) that can be used for simultaneous breeding of more than a single end-use quality trait. The results highlight the complex nature of the genetic architecture of end-use quality, and the challenges of simultaneously selecting favorable genotypes for a large number of traits. This study also illustrates that some end-use quality traits were mainly controlled by a larger number of small-effect loci and may be more amenable to alternate selection strategies such as genomic selection.
conclusionsIn conclusion, a breeder may be faced with the dilemma of balancing genotypic selection in early generation(s) versus costly phenotyping later on.
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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.