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Adapting legume crops to climate change using genomic approaches
Author(s) -
MousaviDerazmahalleh Mahsa,
Bayer Philipp E.,
Hane James K.,
Valliyodan Babu,
Nguyen Henry T.,
Nelson Matthew N.,
Erskine William,
Varshney Rajeev K.,
Papa Roberto,
Edwards David
Publication year - 2019
Publication title -
plant, cell and environment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.646
H-Index - 200
eISSN - 1365-3040
pISSN - 0140-7791
DOI - 10.1111/pce.13203
Subject(s) - adaptation (eye) , threatened species , climate change , food security , selection (genetic algorithm) , variation (astronomy) , genomics , agriculture , genetic variation , population , adaptive capacity , biology , microbiology and biotechnology , computer science , ecology , genome , machine learning , gene , physics , demography , neuroscience , habitat , sociology , astrophysics , biochemistry
Abstract Our agricultural system and hence food security is threatened by combination of events, such as increasing population, the impacts of climate change, and the need to a more sustainable development. Evolutionary adaptation may help some species to overcome environmental changes through new selection pressures driven by climate change. However, success of evolutionary adaptation is dependent on various factors, one of which is the extent of genetic variation available within species. Genomic approaches provide an exceptional opportunity to identify genetic variation that can be employed in crop improvement programs. In this review, we illustrate some of the routinely used genomics‐based methods as well as recent breakthroughs, which facilitate assessment of genetic variation and discovery of adaptive genes in legumes. Although additional information is needed, the current utility of selection tools indicate a robust ability to utilize existing variation among legumes to address the challenges of climate uncertainty.