ArticleFrontiers in plant science2023
Genomic predictions to leverage phenotypic data across genebanks.
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
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Who cites it
9 citing papers in PubMed.
- Integrating genomic predictions into an applied Central European wheat breeding program.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Targeted expansion of a barley genebank core collection facilitates the discovery of disease resistance loci.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Crop wild relatives of legumes: evolutionary resources for climate-responsive pre-breeding.Frontiers in plant science · 2026Review
- Low-call-rate SNPs and presence-absence variation identified in the rice pan-genome can improve genomic prediction of rice gene bank accessions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- A gap and synergy analysis of the European research infrastructure (RI) ecosystem: advancing the novel GRACE-RI dedicated to plant genetic resources.Annals of botany · 2025Article
- Harnessing historical genebank data to accelerate pea breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- High-quality phenotypic and genotypic dataset of barley genebank core collection to unlock untapped genetic diversity.GigaScience · 2025Article
- Are cereal grasses a single genetic system?Nature plants · 2024Article
- Biocultural diversity and crop improvement.Emerging topics in life sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide prediction is a powerful tool in breeding. Initial results suggest that genome-wide approaches are also promising for enhancing the use of the genebank material: predicting the performance of plant genetic resources can unlock their hidden potential and fill the information gap in genebanks across the world and, hence, underpin prebreeding programs. As a proof of concept, we evaluated the power of across-genebank prediction for extensive germplasm collections relying on historical data on flowering/heading date, plant height, and thousand kernel weight of 9,344 barley (
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