J
Jingxian Zhang
Researcher at Texas Tech University
Publications - 10
Citations - 1621
Jingxian Zhang is an academic researcher from Texas Tech University. The author has contributed to research in topics: Quantitative trait locus & Population. The author has an hindex of 7, co-authored 7 publications receiving 1536 citations.
Papers
More filters
Journal ArticleDOI
Genetic analysis of osmotic adjustment in crop plants
TL;DR: Future promising strategies for improving drought resistance lie in molecular technology that allows genes or QTLs controlling OA to be tagged and isolated, these genes to be expressed in transgenic plants, and efficiency of breeding via marker-assisted selection to be improved.
Journal ArticleDOI
HVA1, a LEA gene from barley confers dehydration tolerance in transgenic rice (Oryza sativa L.) via cell membrane protection
TL;DR: Results indicated that the production of HVA1 proteins might have helped in better performance of transgenic rice plants by protecting cell membrane from injury under drought stress.
Journal ArticleDOI
QTLs for cell-membrane stability mapped in rice (Oryza sativa L.) under drought stress
TL;DR: This is the first report of mapping QTLs associated with CMS under a natural water stress condition in any crop plants, and it indicates that CMS should be polygenic in nature.
Journal ArticleDOI
Locating genomic regions associated with components of drought resistance in rice: comparative mapping within and across species
Jingxian Zhang,Honggang Zheng,A. Aarti,G. Pantuwan,T. T. Nguyen,J. N. Tripathy,A. K. Sarial,Stéphane Robin,R. C. Babu,Bay D. Nguyen,S. Sarkarung,Abraham Blum,Henry T. Nguyen +12 more
TL;DR: Results suggest that three conserved genomic regions associated with various physiological responses to drought in several grass species have been conserved across grass species during genome evolution and might be directly applied across species for the improvement of drought resistance in cereal crops.
Journal ArticleDOI
Mapping QTLs for root morphology of a rice population adapted to rainfed lowland conditions.
Akihiko Kamoshita,Leonard Wade,M. L. Ali,M. S. Pathan,Jingxian Zhang,S. Sarkarung,H. T. Nguyen +6 more
TL;DR: The results identifying chromosome regions that had putative QTLs for deep root morphology and root thickness over different mapping populations indicate potential for marker-assisted selection for these traits.