ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2022
Genetic architecture and QTL selection response for Kernza perennial grain domestication traits.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Genome-wide association study identifies genomic regions under selection for domestication and agronomic traits in intermediate wheatgrass.The plant genome · 2026Article
- A low-coverage skim-sequencing and imputation pipeline for genomic selection.The plant genome · 2025Article
- Perennial Kernza cropping promotes rhizosphere microbiome stability and endophyte recruitment compared to annual wheat.Environmental microbiome · 2025Article
- Improving complex agronomic and domestication traits in the perennial grain crop intermediate wheatgrass with genetic mapping and genomic prediction.The plant genome · 2025Article
- Genome Analysis ofPlants (Basel, Switzerland) · 2023Article
- Origin of current intermediate wheatgrass germplasm being developed for Kernza grain production.Research square · 2023Article
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Authors and funding
5 authors.
Funding
Abstract
key messageAnalysis of multi-year breeding program data revealed that the genetic architecture of an intermediate wheatgrass population was highly polygenic for both domestication and agronomic traits, supporting the use of genomic selection for new crop domestication. Perennial grains have the potential to provide food for humans and decrease the negative impacts of annual agriculture. Intermediate wheatgrass (IWG, Thinopyrum intermedium, Kernza®) is a promising perennial grain candidate that The Land Institute has been breeding since 2003. We evaluated four consecutive breeding cycles of IWG from 2016 to 2020 with each cycle containing approximately 1100 unique genets. Using genotyping-by-sequencing markers, quantitative trait loci (QTL) were mapped for 34 different traits using genome-wide association analysis. Combining data across cycles and years, we found 93 marker-trait associations for 16 different traits, with each association explaining 0.8-5.2% of the observed phenotypic variance. Across the four cycles, only three QTL showed an F
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