TY  - JOUR
AV  - public
A1  - Mousavi-Derazmahalleh, M
A1  - Bayer, P E
A1  - Hane, J K
A1  - Valliyodan, B
A1  - Nguyen, H T
A1  - Nelson, M N
A1  - Erskine, W
A1  - Varshney, R K
A1  - Papa, R
A1  - Edwards, D
TI  - Adapting legume crops to climate change using genomic approaches
UR  - http://dx.doi.org/10.1111/pce.13203
JF  - Plant, Cell & Environment (TSI)
SN  - 01407791
PB  - Wiley
N1  - MMD gratefully acknowledges support by the Australian Government
through an Endeavour Postgraduate Scholarship. RKV is thankful to
the Bill & Melinda Gates Foundation for supporting research on
legumes at ICRISAT. RP acknowledges funding from ERA?CAPS
(Bean_Adapt Project). DE acknowledges support by the Australian
Research Council (project nos. LP160100030 and LP140100537).
We also thank Candy Taylor for the comments on the manuscript.
N2  - 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.
KW  - climate change
KW  -  genomics
KW  -  legume crops
KW  -   genomic approaches
KW  -  adaption
KW  -  CRISPRs
KW  -  genome editing
KW  -  predictive modelling
KW  -  crop improvement
KW  -  phenotyping
KW  - 
genome?environment association mapping
KW  -  association mapping
KW  -  QTL mapping
KW  -  germplasm collections
KW  -  molecular markers
KW  -  whole?genome resequencing
KW  -  breeding
Y1  - 2019///
SP  - 6
ID  - icrisat11066
EP  - 19
VL  - 42
IS  - 1
ER  -