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206 related items for PubMed ID: 20376514
1. Identification of candidate genes for grain number in rice (Oryza sativa L.). Deshmukh R, Singh A, Jain N, Anand S, Gacche R, Singh A, Gaikwad K, Sharma T, Mohapatra T, Singh N. Funct Integr Genomics; 2010 Aug; 10(3):339-47. PubMed ID: 20376514 [Abstract] [Full Text] [Related]
2. 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 09; 12():137. PubMed ID: 22876968 [Abstract] [Full Text] [Related]
3. QTL mapping of grain weight in rice and the validation of the QTL qTGW3.2. Tang SQ, Shao GN, Wei XJ, Chen ML, Sheng ZH, Luo J, Jiao GA, Xie LH, Hu PS. Gene; 2013 Sep 15; 527(1):201-6. PubMed ID: 23769924 [Abstract] [Full Text] [Related]
4. Genome-wide expression quantitative trait locus studies facilitate isolation of causal genes controlling panicle structure. Wang F, Yano K, Nagamatsu S, Inari-Ikeda M, Koketsu E, Hirano K, Aya K, Matsuoka M. Plant J; 2020 Jul 15; 103(1):266-278. PubMed ID: 32072700 [Abstract] [Full Text] [Related]
5. Molecular mapping of QTLs for yield related traits in recombinant inbred line (RIL) population derived from the popular rice hybrid KRH-2 and their validation through SNP genotyping. Kulkarni SR, Balachandran SM, Ulaganathan K, Balakrishnan D, Praveen M, Prasad ASH, Fiyaz RA, Senguttuvel P, Sinha P, Kale RR, Rekha G, Kousik MBVN, Harika G, Anila M, Punniakoti E, Dilip T, Hajira SK, Pranathi K, Das MA, Shaik M, Chaitra K, Rao PK, Gangurde SS, Pandey MK, Sundaram RM. Sci Rep; 2020 Aug 13; 10(1):13695. PubMed ID: 32792551 [Abstract] [Full Text] [Related]
6. Gains in QTL detection using an ultra-high density SNP map based on population sequencing relative to traditional RFLP/SSR markers. Yu H, Xie W, Wang J, Xing Y, Xu C, Li X, Xiao J, Zhang Q. PLoS One; 2011 Mar 03; 6(3):e17595. PubMed ID: 21390234 [Abstract] [Full Text] [Related]
7. Effect of qGN4.1 QTL for Grain Number per Panicle in Genetic Backgrounds of Twelve Different Mega Varieties of Rice. Singh VK, Ellur RK, Singh AK, Nagarajan M, Singh BD, Singh NK. Rice (N Y); 2018 Jan 22; 11(1):8. PubMed ID: 29356995 [Abstract] [Full Text] [Related]
8. Fine mapping of a quantitative trait locus for grain number per panicle from wild rice (Oryza rufipogon Griff.). Tian F, Zhu Z, Zhang B, Tan L, Fu Y, Wang X, Sun CQ. Theor Appl Genet; 2006 Aug 22; 113(4):619-29. PubMed ID: 16770601 [Abstract] [Full Text] [Related]
9. Genetic dissection of rice grain shape using a recombinant inbred line population derived from two contrasting parents and fine mapping a pleiotropic quantitative trait locus qGL7. Bai X, Luo L, Yan W, Kovi MR, Zhan W, Xing Y. BMC Genet; 2010 Feb 26; 11():16. PubMed ID: 20184774 [Abstract] [Full Text] [Related]
10. Identification of QTL TGW12 responsible for grain weight in rice based on recombinant inbred line population crossed by wild rice (Oryza minuta) introgression line K1561 and indica rice G1025. Li X, Wei Y, Li J, Yang F, Chen Y, Chen Y, Guo S, Sha A. BMC Genet; 2020 Feb 03; 21(1):10. PubMed ID: 32013862 [Abstract] [Full Text] [Related]
11. Analysis of QTLs for panicle exsertion and its relationship with yield and yield-related traits in rice (Oryza sativa L.). Zhao CF, Chen T, Zhao QY, Zhou LH, Zhao L, Zhang YD, Zhu Z, Yao S, Wang CL. Genet Mol Res; 2016 Apr 28; 15(2):. PubMed ID: 27173278 [Abstract] [Full Text] [Related]
12. Mapping and characterization of the major quantitative trait locus qSS7 associated with increased length and decreased width of rice seeds. Qiu X, Gong R, Tan Y, Yu S. Theor Appl Genet; 2012 Dec 28; 125(8):1717-26. PubMed ID: 22864386 [Abstract] [Full Text] [Related]
13. Discovery and mapping of genomic regions governing economically important traits of Basmati rice. Vemireddy LR, Noor S, Satyavathi VV, Srividhya A, Kaliappan A, Parimala S, Bharathi PM, Deborah DA, Rao KV, Shobharani N, Siddiq EA, Nagaraju J. BMC Plant Biol; 2015 Aug 21; 15():207. PubMed ID: 26293787 [Abstract] [Full Text] [Related]
14. Quantitative trait loci for rice yield-related traits using recombinant inbred lines derived from two diverse cultivars. Bai XF, Luo LJ, Yan WH, Kovi MR, Xing YZ. J Genet; 2011 Aug 21; 90(2):209-15. PubMed ID: 21869469 [Abstract] [Full Text] [Related]
15. Quantitative trait loci identification and meta-analysis for rice panicle-related traits. Wu Y, Huang M, Tao X, Guo T, Chen Z, Xiao W. Mol Genet Genomics; 2016 Oct 21; 291(5):1927-40. PubMed ID: 27380139 [Abstract] [Full Text] [Related]
16. 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 25; 536(2):287-95. PubMed ID: 24361205 [Abstract] [Full Text] [Related]
17. Characterization of a major QTL for manganese accumulation in rice grain. Liu C, Chen G, Li Y, Peng Y, Zhang A, Hong K, Jiang H, Ruan B, Zhang B, Yang S, Gao Z, Qian Q. Sci Rep; 2017 Dec 18; 7(1):17704. PubMed ID: 29255144 [Abstract] [Full Text] [Related]
18. Genomic associations for drought tolerance on the short arm of wheat chromosome 4B. Kadam S, Singh K, Shukla S, Goel S, Vikram P, Pawar V, Gaikwad K, Khanna-Chopra R, Singh N. Funct Integr Genomics; 2012 Aug 18; 12(3):447-64. PubMed ID: 22476619 [Abstract] [Full Text] [Related]
19. Characterisation of a novel quantitative trait locus, GN4-1, for grain number and yield in rice (Oryza sativa L.). Zhou Y, Tao Y, Yuan Y, Zhang Y, Miao J, Zhang R, Yi C, Gong Z, Yang Z, Liang G. Theor Appl Genet; 2018 Mar 18; 131(3):637-648. PubMed ID: 29299612 [Abstract] [Full Text] [Related]
20. A major quantitative trait locus for increasing cadmium-specific concentration in rice grain is located on the short arm of chromosome 7. Ishikawa S, Abe T, Kuramata M, Yamaguchi M, Ando T, Yamamoto T, Yano M. J Exp Bot; 2010 Mar 18; 61(3):923-34. PubMed ID: 20022924 [Abstract] [Full Text] [Related] Page: [Next] [New Search]