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371 related items for PubMed ID: 33098552
1. Discovery of genomic regions and candidate genes for grain weight employing next generation sequencing based QTL-seq approach in rice (Oryza sativa L.). Bommisetty R, Chakravartty N, Bodanapu R, Naik JB, Panda SK, Lekkala SP, Lalam K, Thomas G, Mallikarjuna SJ, Eswar GR, Kadambari GM, Bollineni SN, Issa K, Akkareddy S, Srilakshmi C, Hariprasadreddy K, Rameshbabu P, Sudhakar P, Gupta S, Lachagari VBR, Vemireddy LR. Mol Biol Rep; 2020 Nov; 47(11):8615-8627. PubMed ID: 33098552 [Abstract] [Full Text] [Related]
2. 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; 244(4):819-30. PubMed ID: 27198135 [Abstract] [Full Text] [Related]
3. QTL-Seq-based genetic analysis identifies a major genomic region governing dwarfness in rice (Oryza sativa L.). Kadambari G, Vemireddy LR, Srividhya A, Nagireddy R, Jena SS, Gandikota M, Patil S, Veeraghattapu R, Deborah DAK, Reddy GE, Shake M, Dasari A, Ramanarao PV, Durgarani CV, Neeraja CN, Siddiq EA, Sheshumadhav M. Plant Cell Rep; 2018 Apr; 37(4):677-687. PubMed ID: 29387899 [Abstract] [Full Text] [Related]
4. Mapping of qChalk1 controlling grain chalkiness in japonica rice. Sun H, Yuan Z, Li F, Zhang Q, Peng T, Li J, Du Y. Mol Biol Rep; 2023 Jul; 50(7):5879-5887. PubMed ID: 37231212 [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. QTL-seq identifies cooked grain elongation QTLs near soluble starch synthase and starch branching enzymes in rice (Oryza sativa L.). Arikit S, Wanchana S, Khanthong S, Saensuk C, Thianthavon T, Vanavichit A, Toojinda T. Sci Rep; 2019 Jun 06; 9(1):8328. PubMed ID: 31171826 [Abstract] [Full Text] [Related]
7. Fine mapping of qGW1, a major QTL for grain weight in sorghum. Han L, Chen J, Mace ES, Liu Y, Zhu M, Yuyama N, Jordan DR, Cai H. Theor Appl Genet; 2015 Sep 06; 128(9):1813-25. PubMed ID: 26071275 [Abstract] [Full Text] [Related]
8. Genetic Analysis of Agronomic Traits and Grain Iron and Zinc Concentrations in a Doubled Haploid Population of Rice (Oryza sativa L.). Calayugan MIC, Formantes AK, Amparado A, Descalsota-Empleo GI, Nha CT, Inabangan-Asilo MA, Swe ZM, Hernandez JE, Borromeo TH, Lalusin AG, Mendioro MS, Diaz MGQ, Viña CBD, Reinke R, Swamy BPM. Sci Rep; 2020 Feb 10; 10(1):2283. PubMed ID: 32042046 [Abstract] [Full Text] [Related]
9. 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]
10. Validation of a QTL for Grain Size and Weight Using an Introgression Line from a Cross between Oryza sativa and Oryza minuta. Feng Y, Yuan X, Wang Y, Yang Y, Zhang M, Yu H, Xu Q, Wang S, Niu X, Wei X. Rice (N Y); 2021 May 20; 14(1):43. PubMed ID: 34014427 [Abstract] [Full Text] [Related]
11. qTGW12a, a naturally varying QTL, regulates grain weight in rice. Du Z, Huang Z, Li J, Bao J, Tu H, Zeng C, Wu Z, Fu H, Xu J, Zhou D, Zhu C, Fu J, He H. Theor Appl Genet; 2021 Sep 20; 134(9):2767-2776. PubMed ID: 34021769 [Abstract] [Full Text] [Related]
12. Genetic analysis for rice grain quality traits in the YVB stable variant line using RAD-seq. Peng Y, Hu Y, Mao B, Xiang H, Shao Y, Pan Y, Sheng X, Li Y, Ni X, Xia Y, Zhang G, Yuan L, Quan Z, Zhao B. Mol Genet Genomics; 2016 Feb 20; 291(1):297-307. PubMed ID: 26334612 [Abstract] [Full Text] [Related]
13. A major pleiotropic QTL identified for yield components and nitrogen content in rice (Oryza sativa L.) under differential nitrogen field conditions. Vishnukiran T, Neeraja CN, Jaldhani V, Vijayalakshmi P, Raghuveer Rao P, Subrahmanyam D, Voleti SR. PLoS One; 2020 Feb 20; 15(10):e0240854. PubMed ID: 33079957 [Abstract] [Full Text] [Related]
14. 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 20; 291(5):1927-40. PubMed ID: 27380139 [Abstract] [Full Text] [Related]
15. Identification of Genomic Regions Controlling Chalkiness and Grain Characteristics in a Recombinant Inbred Line Rice Population Based on High-Throughput SNP Markers. Dwiningsih Y, Kumar A, Thomas J, Ruiz C, Alkahtani J, Al-Hashimi A, Pereira A. Genes (Basel); 2021 Oct 24; 12(11):. PubMed ID: 34828295 [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 Oct 24; 10(3):e0122206. PubMed ID: 25815721 [Abstract] [Full Text] [Related]
17. Combining QTL-seq and linkage mapping to fine map a candidate gene in qCTS6 for cold tolerance at the seedling stage in rice. Yang L, Wang J, Han Z, Lei L, Liu HL, Zheng H, Xin W, Zou D. BMC Plant Biol; 2021 Jun 19; 21(1):278. PubMed ID: 34147069 [Abstract] [Full Text] [Related]
18. QTL-seq reveals genomic regions associated with spikelet fertility in response to a high temperature in rice (Oryza sativa L.). Nubankoh P, Wanchana S, Saensuk C, Ruanjaichon V, Cheabu S, Vanavichit A, Toojinda T, Malumpong C, Arikit S. Plant Cell Rep; 2020 Jan 19; 39(1):149-162. PubMed ID: 31570974 [Abstract] [Full Text] [Related]
19. Fine Mapping of Five Grain Size QTLs Which Affect Grain Yield and Quality in Rice. Zhou Y, Yang H, Liu E, Liu R, Alam M, Gao H, Gao G, Zhang Q, Li Y, Xiong L, He Y. Int J Mol Sci; 2024 Apr 09; 25(8):. PubMed ID: 38673733 [Abstract] [Full Text] [Related]
20. 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 Apr 09; 15(10):e0240591. PubMed ID: 33057376 [Abstract] [Full Text] [Related] Page: [Next] [New Search]