Article3 Biotech2024
Uncovering the genomic regions underlying grain iron and zinc content using genome-wide association mapping in finger millet.
Article in 3 Biotech, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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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.
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Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Accelerating iron biofortification in millets: progress, challenges, and future prospects.Planta · 2026Review
- Harnessing microRNA regulatory networks for engineering climate resilience and nutritional enhancement in millets.Stress biology · 2026Review
- Finger Millet: A Genetic Resource for Calcium and Iron Biofortification in Staple Crops.Molecular nutrition & food research · 2026Review
- Article
- Genetic structure of Ethiopian finger millet landraces and genome-wide association mapping for agronomic and nutritional traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genomic resources, opportunities, and prospects for accelerated improvement of millets.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Review
- Genomic loci associated with grain protein and mineral nutrients concentrations inFrontiers in plant science · 2024Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Finger millet, being rich source of essential minerals like iron and zinc, is an ideal model to identify candidate genes contributing to high grain iron content (GIC) and zinc content (GZC) in plants. Hence, finger millet diversity panel comprised of 202 genotypes was evaluated in two geographical locations and found to have a wide variation for GIC and GZC. A genome-wide association study using 2977 single nucleotide polymorphism (SNP) markers identified reliable marker-trait associations (MTAs). The use of general linear model (GLM) and mixed linear model (MLM) approaches revealed 5 and 8 common MTAs linked to GIC and GZC, respectively, for both Almora and Pantnagar locations, with a high level of significance ( Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-023-03889-1.
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Registered trials
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