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    Predictive breeding tools for intensive and sustainable production under climate change scenarios

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    Authors
    Kleinermann, Charles
    Date Issued
    2022-01
    Language
    en
    Type
    Report
    Accessibility
    Limited Access
    Metadata
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    Citation
    Charles Kleinermann. (31/1/2022). Predictive breeding tools for intensive and sustainable production under climate change scenarios.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/128690
    Abstract/Description
    Predictive breeding tools for intensive and sustainable production under climate change scenarios.
    CGIAR Author ORCID iDs
    Charles Kleinermannhttps://orcid.org/0000-0002-1599-8526
    CGIAR Action Areas
    Resilient Agrifood Systems
    CGIAR Impact Areas
    Nutrition, health and food security; Environmental health and biodiversity
    CGIAR Initiatives
    Fragility to Resilience in Central and West Asia and North Africa
    Contributes to SDGs
    SDG 2 - Zero hunger; SDG 12 - Responsible consumption and production; SDG 15 - Life on land
    AGROVOC Keywords
    goal 2 zero hunger; responsible consumption and production; life on land; environmental health and biodiversity; nutrition, health and food security
    Countries
    Spain
    Regions
    Southern Europe
    Organizations Affiliated to the Authors
    International Center for Agricultural Research in the Dry Areas
    Collections
    • CGIAR Initiative on Fragility to Resilience in Central and West Asia and North Africa [181]

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