ArticleFrontiers in plant science2017
Deciphering Genomic Regions for High Grain Iron and Zinc Content Using Association Mapping in Pearl Millet.
Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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35 citing papers in PubMed, 106 citations in OpenAlex.
- Accelerating iron biofortification in millets: progress, challenges, and future prospects.Planta · 2026Review
- Reconfiguring biofortification strategies to transform food systems and address micronutrient deficiency of the 21st century.Journal of integrative plant biology · 2026Review
- Finger Millet: A Genetic Resource for Calcium and Iron Biofortification in Staple Crops.Molecular nutrition & food research · 2026Review
- Millets for a sustainable future.Journal of experimental botany · 2025Review
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- Article
- Pearl millet a promising fodder crop for changing climate: a review.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Review
- Genome-wide association study and expression of candidate genes for Fe and Zn concentration in sorghum grains.Scientific reports · 2024Article
- Uncovering the genomic regions underlying grain iron and zinc content using genome-wide association mapping in finger millet.3 Biotech · 2024Article
- Multi-environment GWAS identifies genomic regions underlying grain nutrient traits in foxtail millet (Setaria italica).Plant cell reports · 2023Article
- Biofortification to avoid malnutrition in humans in a changing climate: Enhancing micronutrient bioavailability in seed, tuber, and storage roots.Frontiers in plant science · 2023Review
- Genome wide association analysis for grain micronutrients and anti-nutritional traits in mungbean [Frontiers in nutrition · 2023Article
- Genetic and genomic interventions in crop biofortification: Examples in millets.Frontiers in plant science · 2023Review
- Genetic insights in pearl millet breeding in the genomic era: challenges and prospects.Plant biotechnology reports · 2023Review
- Morpho-biochemical characterization and molecular marker based genetic diversity of pearl millet (PeerJ · 2023Article
- Achieving nutritional security in India through iron and zinc biofortification in pearl millet (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022Review
- Stage specific comparative transcriptomic analysis to reveal gene networks regulating iron and zinc content in pearl millet [Pennisetum glaucum (L.) R. Br.].Scientific reports · 2022Article
- Molecular characterization of Fe-acquisition genes causing decreased Fe uptake and photosynthetic inefficiency in Fe-deficient sunflower.Scientific reports · 2021Article
- Identifying Anti-Oxidant Biosynthesis Genes in Pearl Millet [Frontiers in plant science · 2021Article
- Deciphering Genotype-By-Environment Interaction for Target Environmental Delineation and Identification of Stable Resistant Sources Against Foliar Blast Disease of Pearl Millet.Frontiers in plant science · 2021Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Micronutrient malnutrition, especially deficiency of two mineral elements, iron [Fe] and zinc [Zn] in the developing world needs urgent attention. Pearl millet is one of the best crops with many nutritional properties and is accessible to the poor. We report findings of the first attempt to mine favorable alleles for grain iron and zinc content through association mapping in pearl millet. An association mapping panel of 130 diverse lines was evaluated at Delhi, Jodhpur and Dharwad, representing all the three pearl millet growing agro-climatic zones of India, during 2014 and 2015. Wide range of variation was observed for grain iron (32.3-111.9 ppm) and zinc (26.6-73.7 ppm) content. Genotyping with 114 representative polymorphic SSRs revealed 0.35 mean gene diversity. STRUCTURE analysis revealed presence of three sub-populations which was further supported by Neighbor-Joining method of clustering and principal coordinate analysis (PCoA). Marker-trait associations (MTAs) were analyzed with 267 markers (250 SSRs and 17 genic markers) in both general linear model (GLM) and mixed linear model (MLM), however, MTAs resulting from MLM were considered for more robustness of the associations. After appropriate Bonferroni correction,
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