ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026
Uncovering the genetic architecture of biomass yield and related traits in Southern US oat germplasm using genome-wide association study.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
key messageIdentification of promising loci associated with biomass yield traits and utilizing them in breeding programs can potentially enhance genetic improvement of oat biomass yield for forage purposes. Biomass yield is a complex trait influenced by several loci with small effects. Leveraging genomic tools for oat biomass yield improvement has the potential to accelerate breeding efforts to improve livestock production systems and increase oat production per unit area. We utilized genome-wide association study (GWAS) to identify quantitative trait loci (QTL) and genomic regions associated with biomass yield traits and incorporated the GWAS-derived major-effect QTLs as fixed effects in genomic prediction models. A panel consisting of 420 oat lines was phenotyped for five biomass yield traits in three growing seasons, 2022-2025, and biomass was harvested three times during each growing season. Fifty-eight unique significant loci distributed over 18 oat chromosomes were identified to be associated with biomass yield and related traits, out of which only 16 were major QTLs explaining phenotypic variance > 10%. Four of the QTLs were stable and showed pleiotropic effects. Particularly, the pleiotropic and stable locus Schr4D_320165235 was linked to important candidate genes which are crucial for lignin deposition, improved root system, and enhanced photosynthesis. Stacking of favorable alleles for plant height, ground cover, and growth habit resulted in corresponding significant increase in phenotypic performance for the traits. Incorporating major-effect QTLs as fixed effects did not result in significant improvement in the predictive ability of the traits. The detection of QTLs and novel candidate genes, as well as integration of GWAS-assisted genomic prediction for biomass yield traits, could potentially be useful for enhancing the genetic improvement of oat forage yield traits.
Indexed as
Identifiers
42213143What OpenQuestion holds
Registered trials
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.