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Breeding custom-designed crops for improved drought adaptation

Creator: Varshney, R.K.
Creator: Barmukh, R.
Creator: Roorkiwal, M.
Creator: Yiping Qi
Creator: Kholova, J.
Creator: Tuberosa, R.
Creator: Reynolds, M.P.
Creator: Tardieu, F.
Creator: Siddique, K.H.M.
Year: 2021
URI: https://hdl.handle.net/10883/21674
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
Issue: 3
Volume: 2
DOI: 10.1002/ggn2.202100017
Keywords: Context Dependent Optimization
Keywords: Drought Physiology
Keywords: Genome Editing
Keywords: Genomic Breeding
Keywords: Root System Architecture
Keywords: Speed Breeding
Description: The current pace of crop improvement is inadequate to feed the burgeoning human population by 2050. Higher, more stable, and sustainable crop production is required against a backdrop of drought stress, which causes significant losses in crop yields. Tailoring crops for drought adaptation may hold the key to address these challenges and provide resilient production systems for future harvests. Understanding the genetic and molecular landscape of the functionality of alleles associated with adaptive traits will make designer crop breeding the prospective approach for crop improvement. Here, we highlight the potential of genomics technologies combined with crop physiology for high-throughput identification of the genetic architecture of key drought-adaptive traits and explore innovative genomic breeding strategies for designing future crops.
Agrovoc: OPTIMIZATION METHODS
Agrovoc: DROUGHT
Agrovoc: GENE EDITING
Agrovoc: PLANT BREEDING
Agrovoc: ROOT SYSTEMS
Elocator: 202100017
ISSN: 2641-6573
Journal: Advanced Genetics


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

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