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273 related items for PubMed ID: 32972357
1. Genome-wide association studies of ionomic and agronomic traits in USDA mini core collection of rice and comparative analyses of different mapping methods. Liu S, Zhong H, Meng X, Sun T, Li Y, Pinson SRM, Chang SKC, Peng Z. BMC Plant Biol; 2020 Sep 24; 20(1):441. PubMed ID: 32972357 [Abstract] [Full Text] [Related]
2. Mapping QTLs for improving grain yield using the USDA rice mini-core collection. Li X, Yan W, Agrama H, Jia L, Shen X, Jackson A, Moldenhauer K, Yeater K, McClung A, Wu D. Planta; 2011 Aug 24; 234(2):347-61. PubMed ID: 21479810 [Abstract] [Full Text] [Related]
3. Genome-wide association study of important agronomic traits within a core collection of rice (Oryza sativa L.). Zhang P, Zhong K, Zhong Z, Tong H. BMC Plant Biol; 2019 Jun 17; 19(1):259. PubMed ID: 31208337 [Abstract] [Full Text] [Related]
4. QTL mapping of combining ability and heterosis of agronomic traits in rice backcross recombinant inbred lines and hybrid crosses. Qu Z, Li L, Luo J, Wang P, Yu S, Mou T, Zheng X, Hu Z. PLoS One; 2012 Jun 17; 7(1):e28463. PubMed ID: 22291881 [Abstract] [Full Text] [Related]
5. Genome-Wide Association Mapping for Yield and Yield-Related Traits in Rice (Oryza Sativa L.) Using SNPs Markers. Ashfaq M, Rasheed A, Zhu R, Ali M, Javed MA, Anwar A, Tabassum J, Shaheen S, Wu X. Genes (Basel); 2023 May 15; 14(5):. PubMed ID: 37239449 [Abstract] [Full Text] [Related]
6. 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]
7. Validation of Yield Component Traits Identified by Genome-Wide Association Mapping in a tropical japonica × tropical japonica Rice Biparental Mapping Population. Eizenga GC, Jia MH, Jackson AK, Boykin DL, Ali ML, Shakiba E, Tran NT, McCouch SR, Edwards JD. Plant Genome; 2019 Mar 09; 12(1):. PubMed ID: 30951093 [Abstract] [Full Text] [Related]
8. 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 09; 291(5):1927-40. PubMed ID: 27380139 [Abstract] [Full Text] [Related]
9. Genome Wide Single Locus Single Trait, Multi-Locus and Multi-Trait Association Mapping for Some Important Agronomic Traits in Common Wheat (T. aestivum L.). Jaiswal V, Gahlaut V, Meher PK, Mir RR, Jaiswal JP, Rao AR, Balyan HS, Gupta PK. PLoS One; 2016 Oct 09; 11(7):e0159343. PubMed ID: 27441835 [Abstract] [Full Text] [Related]
10. 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]
11. Genome wide screening and comparative genome analysis for Meta-QTLs, ortho-MQTLs and candidate genes controlling yield and yield-related traits in rice. Khahani B, Tavakol E, Shariati V, Fornara F. BMC Genomics; 2020 Apr 10; 21(1):294. PubMed ID: 32272882 [Abstract] [Full Text] [Related]
12. Identification of candidate genes for gelatinization temperature, gel consistency and pericarp color by GWAS in rice based on SLAF-sequencing. Yang X, Xia X, Zeng Y, Nong B, Zhang Z, Wu Y, Xiong F, Zhang Y, Liang H, Deng G, Li D. PLoS One; 2018 Apr 10; 13(5):e0196690. PubMed ID: 29746484 [Abstract] [Full Text] [Related]
13. Genome wide association mapping for grain shape traits in indica rice. Feng Y, Lu Q, Zhai R, Zhang M, Xu Q, Yang Y, Wang S, Yuan X, Yu H, Wang Y, Wei X. Planta; 2016 Oct 10; 244(4):819-30. PubMed ID: 27198135 [Abstract] [Full Text] [Related]
14. High-Resolution Genome-wide Association Study Identifies Genomic Regions and Candidate Genes for Important Agronomic Traits in Wheat. Pang Y, Liu C, Wang D, St Amand P, Bernardo A, Li W, He F, Li L, Wang L, Yuan X, Dong L, Su Y, Zhang H, Zhao M, Liang Y, Jia H, Shen X, Lu Y, Jiang H, Wu Y, Li A, Wang H, Kong L, Bai G, Liu S. Mol Plant; 2020 Sep 07; 13(9):1311-1327. PubMed ID: 32702458 [Abstract] [Full Text] [Related]
15. Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice. Yano K, Yamamoto E, Aya K, Takeuchi H, Lo PC, Hu L, Yamasaki M, Yoshida S, Kitano H, Hirano K, Matsuoka M. Nat Genet; 2016 Aug 07; 48(8):927-34. PubMed ID: 27322545 [Abstract] [Full Text] [Related]
16. Genome-wide association studies of 14 agronomic traits in rice landraces. Huang X, Wei X, Sang T, Zhao Q, Feng Q, Zhao Y, Li C, Zhu C, Lu T, Zhang Z, Li M, Fan D, Guo Y, Wang A, Wang L, Deng L, Li W, Lu Y, Weng Q, Liu K, Huang T, Zhou T, Jing Y, Li W, Lin Z, Buckler ES, Qian Q, Zhang QF, Li J, Han B. Nat Genet; 2010 Nov 07; 42(11):961-7. PubMed ID: 20972439 [Abstract] [Full Text] [Related]
17. Development of Chromosome Segment Substitution Lines (CSSLs) Derived from Guangxi Wild Rice (Oryza rufipogon Griff.) under Rice (Oryza sativa L.) Background and the Identification of QTLs for Plant Architecture, Agronomic Traits and Cold Tolerance. Yuan R, Zhao N, Usman B, Luo L, Liao S, Qin Y, Nawaz G, Li R. Genes (Basel); 2020 Aug 22; 11(9):. PubMed ID: 32842674 [Abstract] [Full Text] [Related]
19. A Chromosome Segment Substitution Library of Weedy Rice for Genetic Dissection of Complex Agronomic and Domestication Traits. Subudhi PK, De Leon T, Singh PK, Parco A, Cohn MA, Sasaki T. PLoS One; 2015 Aug 22; 10(6):e0130650. PubMed ID: 26086245 [Abstract] [Full Text] [Related]
20. Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.). Cobb JN, Chen C, Shi Y, Maron LG, Liu D, Rutzke M, Greenberg A, Craft E, Shaff J, Paul E, Akther K, Wang S, Kochian LV, Zhang D, Zhang M, McCouch SR. Theor Appl Genet; 2021 Aug 22; 134(8):2613-2637. PubMed ID: 34018019 [Abstract] [Full Text] [Related] Page: [Next] [New Search]