scispace - formally typeset
C

Chien Van Ha

Researcher at Donald Danforth Plant Science Center

Publications -  33
Citations -  1971

Chien Van Ha is an academic researcher from Donald Danforth Plant Science Center. The author has contributed to research in topics: Drought tolerance & Arabidopsis. The author has an hindex of 17, co-authored 27 publications receiving 1407 citations. Previous affiliations of Chien Van Ha include Kihara Institute for Biological Research.

Papers
More filters
Journal ArticleDOI

Positive regulatory role of strigolactone in plant responses to drought and salt stress

TL;DR: Evidence is provided that genetic modulation of SL content/response could provide a new approach for development of crops with improved stress tolerance and cross-talk between SL and ABA plays an important role in integrating stress signals to regulate stomatal development and function.
Journal ArticleDOI

Arabidopsis type B cytokinin response regulators ARR1, ARR10, and ARR12 negatively regulate plant responses to drought

TL;DR: The results demonstrate that repression of CK response, and thus CK signaling, is one of the strategies plants use to cope with water deficit, providing novel insight for the design of drought-tolerant plants by genetic engineering.
Journal ArticleDOI

Arabidopsis AHP2, AHP3, and AHP5 histidine phosphotransfer proteins function as redundant negative regulators of drought stress response.

TL;DR: It is reported that three Arabidopsis AHPs, namely AHP2, AHP3, and AHP5, control responses to drought stress in negative and redundant manner, and down-regulation of many well-known stress- and/or ABA-responsive genes is revealed, suggesting that these three AHPs may control drought response in both aBA-dependent and Aba-independent manners.
Journal ArticleDOI

Evaluation of candidate reference genes for normalization of quantitative RT-PCR in soybean tissues under various abiotic stress conditions.

TL;DR: The highly ranked reference genes identified from this study were proved to be capable of detecting subtle differences in expression rates that otherwise would be missed if a less stable reference gene was used.