These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
190 related articles for article (PubMed ID: 37662146)
21. Genome-Wide Meta-Analysis of QTLs Associated with Root Traits and Implications for Maize Breeding. Karnatam KS; Chhabra G; Saini DK; Singh R; Kaur G; Praba UP; Kumar P; Goyal S; Sharma P; Ranjan R; Sandhu SK; Kumar R; Vikal Y Int J Mol Sci; 2023 Mar; 24(7):. PubMed ID: 37047112 [TBL] [Abstract][Full Text] [Related]
22. Consensus genomic regions associated with grain protein content in hexaploid and tetraploid wheat. Saini P; Sheikh I; Saini DK; Mir RR; Dhaliwal HS; Tyagi V Front Genet; 2022; 13():1021180. PubMed ID: 36246648 [TBL] [Abstract][Full Text] [Related]
23. Meta-analysis of QTLs and candidate genes associated with seed germination in rice ( Veisi S; Sabouri A; Abedi A Physiol Mol Biol Plants; 2022 Aug; 28(8):1587-1605. PubMed ID: 36389095 [TBL] [Abstract][Full Text] [Related]
24. Genomic analysis of ionome-related QTLs in Arabidopsis thaliana. Shariatipour N; Heidari B; Ravi S; Stevanato P Sci Rep; 2021 Sep; 11(1):19194. PubMed ID: 34584138 [TBL] [Abstract][Full Text] [Related]
25. Comparative Genomic Analysis of Quantitative Trait Loci Associated With Micronutrient Contents, Grain Quality, and Agronomic Traits in Wheat ( Shariatipour N; Heidari B; Tahmasebi A; Richards C Front Plant Sci; 2021; 12():709817. PubMed ID: 34712248 [TBL] [Abstract][Full Text] [Related]
26. Meta-QTLs, ortho-meta QTLs and related candidate genes for yield and its component traits under water stress in wheat ( Kumar A; Saini DK; Saripalli G; Sharma PK; Balyan HS; Gupta PK Physiol Mol Biol Plants; 2023 Apr; 29(4):525-542. PubMed ID: 37187772 [TBL] [Abstract][Full Text] [Related]
27. Molecular Dissection of Seedling Salinity Tolerance in Rice (Oryza sativa L.) Using a High-Density GBS-Based SNP Linkage Map. De Leon TB; Linscombe S; Subudhi PK Rice (N Y); 2016 Dec; 9(1):52. PubMed ID: 27696287 [TBL] [Abstract][Full Text] [Related]
28. Meta-QTL and ortho-MQTL analyses identified genomic regions controlling rice yield, yield-related traits and root architecture under water deficit conditions. Khahani B; Tavakol E; Shariati V; Rossini L Sci Rep; 2021 Mar; 11(1):6942. PubMed ID: 33767323 [TBL] [Abstract][Full Text] [Related]
29. Integrated meta-analysis and transcriptomics pinpoint genomic loci and novel candidate genes associated with submergence tolerance in rice. Aloryi KD; Okpala NE; Guo H; Karikari B; Amo A; Bello SF; Saini DK; Akaba S; Tian X BMC Genomics; 2024 Apr; 25(1):338. PubMed ID: 38575927 [TBL] [Abstract][Full Text] [Related]
31. Whole-genome mining of abiotic stress gene loci in rice. Yang L; Lei L; Liu H; Wang J; Zheng H; Zou D Planta; 2020 Oct; 252(5):85. PubMed ID: 33052473 [TBL] [Abstract][Full Text] [Related]
32. Identification of Quantitative Trait Loci Associated with Nutrient Use Efficiency Traits, Using SNP Markers in an Early Backcross Population of Rice ( Jewel ZA; Ali J; Mahender A; Hernandez J; Pang Y; Li Z Int J Mol Sci; 2019 Feb; 20(4):. PubMed ID: 30791412 [TBL] [Abstract][Full Text] [Related]
33. Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.). Saini DK; Srivastava P; Pal N; Gupta PK Theor Appl Genet; 2022 Mar; 135(3):1049-1081. PubMed ID: 34985537 [TBL] [Abstract][Full Text] [Related]
34. Genetic architecture of aluminum tolerance in rice (Oryza sativa) determined through genome-wide association analysis and QTL mapping. Famoso AN; Zhao K; Clark RT; Tung CW; Wright MH; Bustamante C; Kochian LV; McCouch SR PLoS Genet; 2011 Aug; 7(8):e1002221. PubMed ID: 21829395 [TBL] [Abstract][Full Text] [Related]
35. Reproductive tissues-specific meta-QTLs and candidate genes for development of heat-tolerant rice cultivars. Raza Q; Riaz A; Bashir K; Sabar M Plant Mol Biol; 2020 Sep; 104(1-2):97-112. PubMed ID: 32643113 [TBL] [Abstract][Full Text] [Related]
36. QTL mapping and candidate gene mining of flag leaf size traits in Japonica rice based on linkage mapping and genome-wide association study. Wang J; Wang T; Wang Q; Tang X; Ren Y; Zheng H; Liu K; Yang L; Jiang H; Li Y; Liu Q; Zou D; Zheng H Mol Biol Rep; 2022 Jan; 49(1):63-71. PubMed ID: 34677716 [TBL] [Abstract][Full Text] [Related]
37. Meta-QTL analysis and identification of candidate genes for drought tolerance in bread wheat ( Kumar A; Saripalli G; Jan I; Kumar K; Sharma PK; Balyan HS; Gupta PK Physiol Mol Biol Plants; 2020 Aug; 26(8):1713-1725. PubMed ID: 32801498 [TBL] [Abstract][Full Text] [Related]
38. Construction of a potato consensus map and QTL meta-analysis offer new insights into the genetic architecture of late blight resistance and plant maturity traits. Danan S; Veyrieras JB; Lefebvre V BMC Plant Biol; 2011 Jan; 11():16. PubMed ID: 21247437 [TBL] [Abstract][Full Text] [Related]
39. High-resolution bin-based linkage mapping uncovers the genetic architecture and heterosis-related loci of plant height in indica-japonica derived populations. Kong W; Deng X; Yang J; Zhang C; Sun T; Ji W; Zhong H; Fu X; Li Y Plant J; 2022 May; 110(3):814-827. PubMed ID: 35165965 [TBL] [Abstract][Full Text] [Related]
40. Molecular Mapping to Discover Reliable Salinity-Resilient QTLs from the Novel Landrace Akundi in Two Bi-Parental Populations Using SNP-Based Genome-Wide Analysis in Rice. Maniruzzaman S; Rahman MA; Hasan M; Rasul MG; Molla AH; Khatun H; Iftekharuddaula KM; Kabir MS; Akter S Int J Mol Sci; 2023 Jul; 24(13):. PubMed ID: 37446320 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]