These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
343 related articles for article (PubMed ID: 21984650)
1. Using chromosome introgression lines to map quantitative trait loci for photosynthesis parameters in rice (Oryza sativa L.) leaves under drought and well-watered field conditions. Gu J; Yin X; Struik PC; Stomph TJ; Wang H J Exp Bot; 2012 Jan; 63(1):455-69. PubMed ID: 21984650 [TBL] [Abstract][Full Text] [Related]
2. Physiological basis of genetic variation in leaf photosynthesis among rice (Oryza sativa L.) introgression lines under drought and well-watered conditions. Gu J; Yin X; Stomph TJ; Wang H; Struik PC J Exp Bot; 2012 Sep; 63(14):5137-53. PubMed ID: 22888131 [TBL] [Abstract][Full Text] [Related]
3. Genetic mapping of physiological traits associated with terminal stage drought tolerance in rice. Barik SR; Pandit E; Mohanty SP; Nayak DK; Pradhan SK BMC Genet; 2020 Jul; 21(1):76. PubMed ID: 32664865 [TBL] [Abstract][Full Text] [Related]
4. qDTY12.1: a locus with a consistent effect on grain yield under drought in rice. Mishra KK; Vikram P; Yadaw RB; Swamy BP; Dixit S; Cruz MT; Maturan P; Marker S; Kumar A BMC Genet; 2013 Feb; 14():12. PubMed ID: 23442150 [TBL] [Abstract][Full Text] [Related]
5. Utilization of genetic diversity and marker-trait to improve drought tolerance in rice (Oryza sativa L.). Ghazy MI; Salem KFM; Sallam A Mol Biol Rep; 2021 Jan; 48(1):157-170. PubMed ID: 33300089 [TBL] [Abstract][Full Text] [Related]
6. Linking ecophysiological modelling with quantitative genetics to support marker-assisted crop design for improved yields of rice (Oryza sativa) under drought stress. Gu J; Yin X; Zhang C; Wang H; Struik PC Ann Bot; 2014 Sep; 114(3):499-511. PubMed ID: 24984712 [TBL] [Abstract][Full Text] [Related]
7. Fine mapping QTL for drought resistance traits in rice (Oryza sativa L.) using bulk segregant analysis. Salunkhe AS; Poornima R; Prince KS; Kanagaraj P; Sheeba JA; Amudha K; Suji KK; Senthil A; Babu RC Mol Biotechnol; 2011 Sep; 49(1):90-5. PubMed ID: 21298364 [TBL] [Abstract][Full Text] [Related]
8. Identification and characterization of large-effect quantitative trait loci for grain yield under lowland drought stress in rice using bulk-segregant analysis. Venuprasad R; Dalid CO; Del Valle M; Zhao D; Espiritu M; Sta Cruz MT; Amante M; Kumar A; Atlin GN Theor Appl Genet; 2009 Dec; 120(1):177-90. PubMed ID: 19841886 [TBL] [Abstract][Full Text] [Related]
9. Quantitative trait loci associated with drought tolerance at reproductive stage in rice. Lanceras JC; Pantuwan G; Jongdee B; Toojinda T Plant Physiol; 2004 May; 135(1):384-99. PubMed ID: 15122029 [TBL] [Abstract][Full Text] [Related]
10. Genetic Mapping Identifies Consistent Quantitative Trait Loci for Yield Traits of Rice under Greenhouse Drought Conditions. Baisakh N; Yabes J; Gutierrez A; Mangu V; Ma P; Famoso A; Pereira A Genes (Basel); 2020 Jan; 11(1):. PubMed ID: 31948113 [TBL] [Abstract][Full Text] [Related]
11. Mapping of QTLs associated with yield and related traits under reproductive stage drought stress in rice using SNP linkage map. Kaldate R; Verma RK; Chetia SK; Dey PC; Mahalle MD; Singh SK; Baruah AR; Modi MK Mol Biol Rep; 2023 Aug; 50(8):6349-6359. PubMed ID: 37314604 [TBL] [Abstract][Full Text] [Related]
12. QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.). Marathi B; Guleria S; Mohapatra T; Parsad R; Mariappan N; Kurungara VK; Atwal SS; Prabhu KV; Singh NK; Singh AK BMC Plant Biol; 2012 Aug; 12():137. PubMed ID: 22876968 [TBL] [Abstract][Full Text] [Related]
13. Salt-responsive mechanisms in chromosome segment substitution lines of rice (Oryza sativa L. cv. KDML105). Nounjan N; Siangliw JL; Toojinda T; Chadchawan S; Theerakulpisut P Plant Physiol Biochem; 2016 Jun; 103():96-105. PubMed ID: 26986930 [TBL] [Abstract][Full Text] [Related]
14. Molecular Breeding for Improving Productivity of Oo KS; Krishnan SG; Vinod KK; Dhawan G; Dwivedi P; Kumar P; Bhowmick PK; Pal M; Chinnuswamy V; Nagarajan M; Bollinedi H; Ellur RK; Singh AK Genes (Basel); 2021 Jun; 12(7):. PubMed ID: 34202818 [TBL] [Abstract][Full Text] [Related]
15. Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (Oryza sativa L.) background and characterization of introgressed segments associated with yield-related traits. Tian F; Li DJ; Fu Q; Zhu ZF; Fu YC; Wang XK; Sun CQ Theor Appl Genet; 2006 Feb; 112(3):570-80. PubMed ID: 16331476 [TBL] [Abstract][Full Text] [Related]
16. From QTL to variety-harnessing the benefits of QTLs for drought, flood and salt tolerance in mega rice varieties of India through a multi-institutional network. Singh R; Singh Y; Xalaxo S; Verulkar S; Yadav N; Singh S; Singh N; Prasad KSN; Kondayya K; Rao PVR; Rani MG; Anuradha T; Suraynarayana Y; Sharma PC; Krishnamurthy SL; Sharma SK; Dwivedi JL; Singh AK; Singh PK; Nilanjay ; Singh NK; Kumar R; Chetia SK; Ahmad T; Rai M; Perraju P; Pande A; Singh DN; Mandal NP; Reddy JN; Singh ON; Katara JL; Marandi B; Swain P; Sarkar RK; Singh DP; Mohapatra T; Padmawathi G; Ram T; Kathiresan RM; Paramsivam K; Nadarajan S; Thirumeni S; Nagarajan M; Singh AK; Vikram P; Kumar A; Septiningshih E; Singh US; Ismail AM; Mackill D; Singh NK Plant Sci; 2016 Jan; 242():278-287. PubMed ID: 26566845 [TBL] [Abstract][Full Text] [Related]
17. Analysis of quantitative trait loci affecting chlorophyll content of rice leaves in a double haploid population and two backcross populations. Jiang G; Zeng J; He Y Gene; 2014 Feb; 536(2):287-95. PubMed ID: 24361205 [TBL] [Abstract][Full Text] [Related]
18. Mapping QTLs for plant phenology and production traits using indica rice (Oryza sativa L.) lines adapted to rainfed environment. Suji KK; Biji KR; Poornima R; Prince KS; Amudha K; Kavitha S; Mankar S; Babu RC Mol Biotechnol; 2012 Oct; 52(2):151-60. PubMed ID: 22198727 [TBL] [Abstract][Full Text] [Related]