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Genomic resources in plant breeding for sustainable agriculture

Creator: Thudi, M.
Creator: Palakurthi, R.
Creator: Schnable, J.C.
Creator: Annapurna Chitikineni
Creator: Dreisigacker, S.
Creator: Mace, E.
Creator: Rakesh Kumar Srivastava
Creator: Satyavathi, C.T.
Creator: Odeny, D.A.
Creator: Vijay Tiwari
Creator: Hon-Ming Lam
Creator: Yan-Bin Hong
Creator: Singh, V.K.
Creator: Guowei Li
Creator: Yunbi Xu
Creator: Xiao-Ping Chen
Creator: Kaila, S.
Creator: Nguyen, H.T.
Creator: Sivasankar, S.
Creator: Jackson, S.A.
Creator: Close, T.J.
Creator: Wan Shubo
Creator: Varshney, R.K.
Year: 2021
URI: https://hdl.handle.net/10883/21130
Language: English
Publisher: Elsevier
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: Netherlands
Volume: 257
DOI: 10.1016/j.jplph.2020.153351
Keywords: Sequencing
Keywords: Genotyping Platforms
Keywords: Sequence-Based Trait Mapping
Keywords: Genomics-Assisted Breeding
Keywords: Genomic Breeding
Keywords: Genomic Selection
Description: Climate change during the last 40 years has had a serious impact on agriculture and threatens global food and nutritional security. From over half a million plant species, cereals and legumes are the most important for food and nutritional security. Although systematic plant breeding has a relatively short history, conventional breeding coupled with advances in technology and crop management strategies has increased crop yields by 56 % globally between 1965−85, referred to as the Green Revolution. Nevertheless, increased demand for food, feed, fiber, and fuel necessitates the need to break existing yield barriers in many crop plants. In the first decade of the 21st century we witnessed rapid discovery, transformative technological development and declining costs of genomics technologies. In the second decade, the field turned towards making sense of the vast amount of genomic information and subsequently moved towards accurately predicting gene-to-phenotype associations and tailoring plants for climate resilience and global food security. In this review we focus on genomic resources, genome and germplasm sequencing, sequencing-based trait mapping, and genomics-assisted breeding approaches aimed at developing biotic stress resistant, abiotic stress tolerant and high nutrition varieties in six major cereals (rice, maize, wheat, barley, sorghum and pearl millet), and six major legumes (soybean, groundnut, cowpea, common bean, chickpea and pigeonpea). We further provide a perspective and way forward to use genomic breeding approaches including marker-assisted selection, marker-assisted backcrossing, haplotype based breeding and genomic prediction approaches coupled with machine learning and artificial intelligence, to speed breeding approaches. The overall goal is to accelerate genetic gains and deliver climate resilient and high nutrition crop varieties for sustainable agriculture.
Agrovoc: GENOMICS
Agrovoc: PLANT BREEDING
Agrovoc: MARKER-ASSISTED SELECTION
Agrovoc: SUSTAINABLE AGRICULTURE
Agrovoc: DNA SEQUENCE
Agrovoc: CHROMOSOME MAPPING
Journal: Journal of Plant Physiology
Article number: 153351


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  • Maize
    Maize breeding, phytopathology, entomology, physiology, quality, and biotech
  • Wheat
    Wheat - breeding, phytopathology, physiology, quality, biotech

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