TY  - JA
AU  - Shengxue Liu
AU  - Feng Qin
TI  - Genetic dissection of maize drought tolerance for trait improvement
SN  - 1380-3743
PY  - 2021///
CY  - Dordrecht (Netherlands)
PB  - Springer
KW  - Quantitative Trait Loci
KW  - AGROVOC
KW  - Drought tolerance
KW  - Breeding
KW  - Drought stress
KW  - Maize
N1  - Peer review; Open Access
N2  - Maize is one of the most important crops, but its production is threatened by drought stress worldwide. Thus, increased drought tolerance has been a major goal of maize breeding. Conventional breeding strategies have led to significantly increase of maize yields; however, these strategies often fail to meet the need for drought stress tolerance enhancement. Here, we focus on progress related to the genetic dissection of drought tolerance in maize at different developmental stages achieved through linkage mapping and association mapping. Moreover, recent molecular breeding systems, including transgenic, genome-wide marker-assisted selection, and genome editing technologies, have provided a more direct, efficient, and accurate approach for trait improvement. We also provide perspectives on future directions regarding multi-omics studies and maize improvement. Overall, the application of acquired knowledge will facilitate maize breeding to meet the challenges
UR  - https://doi.org/10.1007/s11032-020-01194-w
DO  - https://doi.org/10.1007/s11032-020-01194-w
T2  - Molecular Breeding
ER  -