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427 related items for PubMed ID: 35606708
1. Phenotypic variation and genome-wide association studies of main culm panicle node number, maximum node production rate, and degree-days to heading in rice. Sanchez DL, Samonte SOP, Alpuerto JBB, Croaker PA, Morales KY, Yang Y, Wilson LT, Tabien RE, Yan Z, Thomson MJ, Septiningsih EM. BMC Genomics; 2022 May 23; 23(1):390. PubMed ID: 35606708 [Abstract] [Full Text] [Related]
2. 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]
3. Genome-wide association analysis identifies natural allelic variants associated with panicle architecture variation in African rice, Oryza glaberrima Steud. Ntakirutimana F, Tranchant-Dubreuil C, Cubry P, Chougule K, Zhang J, Wing RA, Adam H, Lorieux M, Jouannic S. G3 (Bethesda); 2023 Sep 30; 13(10):. PubMed ID: 37535690 [Abstract] [Full Text] [Related]
4. 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 30; 244(4):819-30. PubMed ID: 27198135 [Abstract] [Full Text] [Related]
5. Uncovering the genetic mechanisms regulating panicle architecture in rice with GPWAS and GWAS. Zhong H, Liu S, Meng X, Sun T, Deng Y, Kong W, Peng Z, Li Y. BMC Genomics; 2021 Jan 28; 22(1):86. PubMed ID: 33509071 [Abstract] [Full Text] [Related]
6. cgSSR marker-based genome-wide association study identified genomic regions for panicle characters and yield in rice (Oryza sativa L.). Sah RP, Nayak AK, Chandrappa A, Behera S, Azharudheen Tp M, Lavanya GR. J Sci Food Agric; 2023 Jan 30; 103(2):720-728. PubMed ID: 36054367 [Abstract] [Full Text] [Related]
7. Genetic potential of grain-related traits in rice landraces: phenomics and multi-locus association analyses. Peringottillam M, Sundaram KT, Manickavelu A. Mol Biol Rep; 2023 Nov 30; 50(11):9323-9334. PubMed ID: 37815669 [Abstract] [Full Text] [Related]
8. GWAS to spot candidate genes associated with grain quality traits in diverse rice accessions of North East India. Verma RK, Chetia SK, Sharma V, Baishya S, Sharma H, Modi MK. Mol Biol Rep; 2022 Jun 30; 49(6):5365-5377. PubMed ID: 35106687 [Abstract] [Full Text] [Related]
9. Mining the candidate genes of rice panicle traits via a genome-wide association study. Liu Z, Sun H, Zhang Y, Du M, Xiang J, Li X, Chang Y, Sun J, Cheng X, Xiong M, Zhao Z, Liu E. Front Genet; 2023 Jun 30; 14():1239550. PubMed ID: 37732315 [Abstract] [Full Text] [Related]
10. Genome-wide association study of agronomic traits in rice cultivated in temperate regions. Reig-Valiente JL, Marqués L, Talón M, Domingo C. BMC Genomics; 2018 Sep 25; 19(1):706. PubMed ID: 30253735 [Abstract] [Full Text] [Related]
11. Genome-wide association study reveals significant genomic regions for improving yield, adaptability of rice under dry direct seeded cultivation condition. Subedi SR, Sandhu N, Singh VK, Sinha P, Kumar S, Singh SP, Ghimire SK, Pandey M, Yadaw RB, Varshney RK, Kumar A. BMC Genomics; 2019 Jun 10; 20(1):471. PubMed ID: 31182016 [Abstract] [Full Text] [Related]
12. A genome-wide association study using a Vietnamese landrace panel of rice (Oryza sativa) reveals new QTLs controlling panicle morphological traits. Ta KN, Khong NG, Ha TL, Nguyen DT, Mai DC, Hoang TG, Phung TPN, Bourrie I, Courtois B, Tran TTH, Dinh BY, LA TN, DO NV, Lebrun M, Gantet P, Jouannic S. BMC Plant Biol; 2018 Nov 14; 18(1):282. PubMed ID: 30428844 [Abstract] [Full Text] [Related]
13. Genome-wide association studies for a comprehensive understanding of the genetic architecture of culm strength and yield traits in rice. Badri J, Padmashree R, Anilkumar C, Mamidi A, Isetty SR, Swamy A, Sundaram RM. Front Plant Sci; 2023 Nov 14; 14():1298083. PubMed ID: 38317832 [Abstract] [Full Text] [Related]
14. Unraveling candidate genomic regions responsible for delayed leaf senescence in rice. Singh UM, Sinha P, Dixit S, Abbai R, Venkateshwarlu C, Chitikineni A, Singh VK, Varshney RK, Kumar A. PLoS One; 2020 Nov 14; 15(10):e0240591. PubMed ID: 33057376 [Abstract] [Full Text] [Related]
15. Genome-Wide Association Study for Traits Related to Plant and Grain Morphology, and Root Architecture in Temperate Rice Accessions. Biscarini F, Cozzi P, Casella L, Riccardi P, Vattari A, Orasen G, Perrini R, Tacconi G, Tondelli A, Biselli C, Cattivelli L, Spindel J, McCouch S, Abbruscato P, Valé G, Piffanelli P, Greco R. PLoS One; 2016 Nov 14; 11(5):e0155425. PubMed ID: 27228161 [Abstract] [Full Text] [Related]
16. Genome-Wide Association Study for Major Biofuel Traits in Sorghum Using Minicore Collection. Rayaprolu L, Selvanayagam S, Rao DM, Gupta R, Das RR, Rathore A, Gandham P, Kiranmayee KNSU, Deshpande SP, Are AK. Protein Pept Lett; 2021 Nov 14; 28(8):909-928. PubMed ID: 33588716 [Abstract] [Full Text] [Related]
17. 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 14; 12(1):. PubMed ID: 30951093 [Abstract] [Full Text] [Related]
18. Genetic analyses of lodging resistance and yield provide insights into post-Green-Revolution breeding in rice. Guo Z, Liu X, Zhang B, Yuan X, Xing Y, Liu H, Luo L, Chen G, Xiong L. Plant Biotechnol J; 2021 Apr 14; 19(4):814-829. PubMed ID: 33159401 [Abstract] [Full Text] [Related]
19. Genetic variation and association mapping for 12 agronomic traits in indica rice. Lu Q, Zhang M, Niu X, Wang S, Xu Q, Feng Y, Wang C, Deng H, Yuan X, Yu H, Wang Y, Wei X. BMC Genomics; 2015 Dec 16; 16():1067. PubMed ID: 26673149 [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 Dec 16; 13(6):e0198012. PubMed ID: 29856872 [Abstract] [Full Text] [Related] Page: [Next] [New Search]