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Genome‐wide association mapping and comparative genomics identifies genomic regions governing grain nutritional traits in finger millet (Eleusine coracana L. Gaertn.)

Creator: Puranik, S.
Creator: Sahu, P.P.
Creator: Beynon, S.
Creator: Srivastava, R.K.
Creator: Sehgal, D.
Creator: Ojulong, H.
Creator: Yadav, R.S.
Year: 2020
URI: https://hdl.handle.net/10883/21178
Language: English
Publisher: Wiley
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Type: Article
Place of Publication: USA
Pages: 649-662
Issue: 6
Volume: 2
DOI: 10.1002/ppp3.10120
Keywords: Genome-Wide Association Analysis
Keywords: Genotyping by Sequencing
Keywords: Micronutrients
Keywords: TASSEL
Description: Summary Maize production is central to rural livelihoods in the hills of Nepal. Access to affordable improved maize seed has long been a barrier to productivity gains and livelihood improvement. This study evaluates the direct and indirect (spillover) impacts of a community-based seed production program in Nepal using a quasi-experimental method for selected outcome indicators. Our results show that community-based seed production provides a significant positive direct impact on maize income and female leadership opportunities. The impacts were particularly favorable for disadvantaged households (HHs) from lower castes and HHs that owned less land. There is also strong evidence of spillover impacts on improved seed adoption, yield, and household maize self-sufficiency. Community-based seed production thereby could help Nepal attain cereal self-sufficiency and nutritional security as envisioned in the national agricultural development strategy and seed vision.
Agrovoc: FINGER MILLET
Agrovoc: GENOMES
Agrovoc: TRACE ELEMENTS
Agrovoc: POPULATION STRUCTURE
Related Datasets: https://nph.onlinelibrary.wiley.com/doi/10.1002/ppp3.10120#support-information-section
ISSN: 2572-2611
Journal: Plants, People, Planet


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  • Wheat
    Wheat - breeding, phytopathology, physiology, quality, biotech

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