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179 related items for PubMed ID: 39342533
1. Candidate gene analysis of rice grain shape based on genome-wide association study. Xin W, Chen N, Wang J, Liu Y, Sun Y, Han B, Wang X, Liu Z, Liu H, Zheng H, Yang L, Zou D, Wang J. Theor Appl Genet; 2024 Sep 29; 137(10):241. PubMed ID: 39342533 [Abstract] [Full Text] [Related]
3. 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]
11. Fine-mapping of qTGW2, a quantitative trait locus for grain weight in rice (Oryza sativa L.). Zhang H, Zhu YJ, Zhu AD, Fan YY, Huang TX, Zhang JF, Xie HA, Zhuang JY. PeerJ; 2020 Sep 28; 8():e8679. PubMed ID: 32181056 [Abstract] [Full Text] [Related]
12. 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]
13. Identification of Superior Haplotypes and Haplotype Combinations for Grain Size- and Weight-Related Genes for Breeding Applications in Rice (Oryza sativa L.). Liu G, Qiu D, Lu Y, Wu Y, Han X, Jiao Y, Wang T, Yang J, You A, Chen J, Zhang Z. Genes (Basel); 2023 Dec 12; 14(12):. PubMed ID: 38137023 [Abstract] [Full Text] [Related]
14. 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]
15. QTL mapping for grain yield-related traits in bread wheat via SNP-based selective genotyping. Yang L, Zhao D, Meng Z, Xu K, Yan J, Xia X, Cao S, Tian Y, He Z, Zhang Y. Theor Appl Genet; 2020 Mar 26; 133(3):857-872. PubMed ID: 31844965 [Abstract] [Full Text] [Related]
16. Rapid identification of major QTLs associated with rice grain weight and their utilization. Xu F, Sun X, Chen Y, Huang Y, Tong C, Bao J. PLoS One; 2015 Mar 26; 10(3):e0122206. PubMed ID: 25815721 [Abstract] [Full Text] [Related]
17. Identification of qLG2, qLG8, and qWG2 as novel quantitative trait loci for grain shape and the allelic analysis in cultivated rice. Wang GJ, Wang Y, Ying JZ, Song XJ. Planta; 2020 Jul 15; 252(2):18. PubMed ID: 32671480 [Abstract] [Full Text] [Related]
18. Enhanced Expression of QTL qLL9/DEP1 Facilitates the Improvement of Leaf Morphology and Grain Yield in Rice. Fu X, Xu J, Zhou M, Chen M, Shen L, Li T, Zhu Y, Wang J, Hu J, Zhu L, Gao Z, Dong G, Guo L, Ren D, Chen G, Lin J, Qian Q, Zhang G. Int J Mol Sci; 2019 Feb 17; 20(4):. PubMed ID: 30781568 [Abstract] [Full Text] [Related]
19. Molecular mapping and characterization of QTLs for grain quality traits in a RIL population of US rice under high nighttime temperature stress. Kumar A, Thomas J, Gill N, Dwiningsih Y, Ruiz C, Famoso A, Pereira A. Sci Rep; 2023 Mar 25; 13(1):4880. PubMed ID: 36966148 [Abstract] [Full Text] [Related]
20. Diversity analysis and genome-wide association studies of grain shape and eating quality traits in rice (Oryza sativa L.) using DArT markers. Mogga M, Sibiya J, Shimelis H, Lamo J, Yao N. PLoS One; 2018 Mar 25; 13(6):e0198012. PubMed ID: 29856872 [Abstract] [Full Text] [Related] Page: [Next] [New Search]