The Plant Genome special section: Grain quality and nutritional genomics for breeding next-generation crops

    Pandey, M K and Mir, R R and Nese, S (2023) The Plant Genome special section: Grain quality and nutritional genomics for breeding next-generation crops. The Plant Genome (TSI), 16 (4). pp. 1-4. ISSN 1940-3372

    [img] PDF - Published Version
    Available under License Creative Commons Attribution Non-commercial No Derivatives.
    Download (164kB)

    Abstract

    By 2050, the world’s population is expected to reach 9.8 billion according to United Nations predictions (https://www.un.org/en/desa/world-population-projectedreach- 98-billion-2050-and-112-billion-2100). As a result, crop yields must roughly double in order to feed an expanding global population while still satisfying consumer demands for grain quality and nutrition. In addition to enhancing the nutritional value of food crops, making available affordable, nutrient-dense food, especially to those who are economically disadvantaged, will be a central pillar to address food and nutritional security. The strategy for improving grain quality and nutritional traits in breeding programs has been prioritized with the recent advancements in phenotyping of seeds and grains (metabolomics, mineral and vitamins, assessing the quality of starch, proteins and lipids, and capturing consumer preferred traits), sequencing technologies to do high-throughput genotyping, functional genomics aided gene discovery, high-resolution trait mapping and superior haplotype discovery, as well deploying genomic selection tools in a variety of crops (Pandey et al., 2016; Varshney et al., 2019).

    Item Type: Article
    Divisions: Center of Excellence in Genomics and Systems Biology
    CRP: UNSPECIFIED
    Uncontrolled Keywords: grain quality, genomics, crop yield, nutrition
    Subjects: Others > Genetics and Genomics
    Others > Food and Nutrition
    Others > Food Security
    Depositing User: Mr Nagaraju T
    Date Deposited: 14 Feb 2024 09:23
    Last Modified: 14 Feb 2024 09:23
    URI: http://oar.icrisat.org/id/eprint/12472
    Official URL: https://www.proquest.com/openview/15015cd208edd933...
    Projects: UNSPECIFIED
    Funders: UNSPECIFIED
    Acknowledgement: UNSPECIFIED
    Links:
    View Statistics

    Actions (login required)

    View Item View Item
    Altmetric
    OAR@ICRISAT is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.