209 related articles for article (PubMed ID: 20878383)
21. Identification of QTL affecting seed mineral concentrations and content in the model legume Medicago truncatula.
Sankaran RP; Huguet T; Grusak MA
Theor Appl Genet; 2009 Jul; 119(2):241-53. PubMed ID: 19396421
[TBL] [Abstract][Full Text] [Related]
22. Identification of Quantitative Trait Loci Controlling Ethylene Production in Germinating Seeds in Maize (Zea mays L.).
Kong D; Fu X; Jia X; Wang W; Li Y; Li J; Yang X; Ju C
Sci Rep; 2020 Feb; 10(1):1677. PubMed ID: 32015470
[TBL] [Abstract][Full Text] [Related]
23. Identification and analysis of QTLs controlling cold tolerance at the reproductive stage and validation of effective QTLs in cold-tolerant genotypes of rice (Oryza sativa L.).
Suh JP; Jeung JU; Lee JI; Choi YH; Yea JD; Virk PS; Mackill DJ; Jena KK
Theor Appl Genet; 2010 Mar; 120(5):985-95. PubMed ID: 20012263
[TBL] [Abstract][Full Text] [Related]
24. Characterization of Quantitative Trait Loci for Germination and Coleoptile Length under Low-Temperature Condition Using Introgression Lines Derived from an Interspecific Cross in Rice.
Akhtamov M; Adeva C; Shim KC; Lee HS; Kim SH; Jeon YA; Luong NH; Kang JW; Lee JY; Ahn SN
Genes (Basel); 2020 Oct; 11(10):. PubMed ID: 33076295
[TBL] [Abstract][Full Text] [Related]
25. Genetic basis of drought tolerance during seed germination in barley.
Thabet SG; Moursi YS; Karam MA; Graner A; Alqudah AM
PLoS One; 2018; 13(11):e0206682. PubMed ID: 30388157
[TBL] [Abstract][Full Text] [Related]
26. Genetic analysis of cold tolerance at the germination and booting stages in rice by association mapping.
Pan Y; Zhang H; Zhang D; Li J; Xiong H; Yu J; Li J; Rashid MA; Li G; Ma X; Cao G; Han L; Li Z
PLoS One; 2015; 10(3):e0120590. PubMed ID: 25790128
[TBL] [Abstract][Full Text] [Related]
27. Dynamic QTL analysis of seed reserve utilization in sh
Cheng XX; He S; Geng GH
Genet Mol Res; 2016 Aug; 15(3):. PubMed ID: 27706613
[TBL] [Abstract][Full Text] [Related]
28. Genetic Dissection of Germinability under Low Temperature by Building a Resequencing Linkage Map in
Jiang S; Yang C; Xu Q; Wang L; Yang X; Song X; Wang J; Zhang X; Li B; Li H; Li Z; Li W
Int J Mol Sci; 2020 Feb; 21(4):. PubMed ID: 32074988
[TBL] [Abstract][Full Text] [Related]
29. Comparison of QTL controlling seedling vigour under different temperature conditions using recombinant inbred lines in rice (Oryza sativa).
Zhang ZH; Qu XS; Wan S; Chen LH; Zhu YG
Ann Bot; 2005 Feb; 95(3):423-9. PubMed ID: 15574482
[TBL] [Abstract][Full Text] [Related]
30. QTL mapping and candidate gene analysis of seed vigor-related traits during artificial aging in wheat (Triticum aestivum).
Shi H; Guan W; Shi Y; Wang S; Fan H; Yang J; Chen W; Zhang W; Sun D; Jing R
Sci Rep; 2020 Dec; 10(1):22060. PubMed ID: 33328518
[TBL] [Abstract][Full Text] [Related]
31. Genome-wide association study identified candidate genes for seed size and seed composition improvement in M. truncatula.
Chen Z; Lancon-Verdier V; Le Signor C; She YM; Kang Y; Verdier J
Sci Rep; 2021 Feb; 11(1):4224. PubMed ID: 33608604
[TBL] [Abstract][Full Text] [Related]
32. Hydropriming and Biopriming Improve
Forti C; Shankar A; Singh A; Balestrazzi A; Prasad V; Macovei A
Genes (Basel); 2020 Feb; 11(3):. PubMed ID: 32106615
[TBL] [Abstract][Full Text] [Related]
33. Genome-Wide Association Studies of Seed Performance Traits in Response to Heat Stress in
Chen Z; Ly Vu J; Ly Vu B; Buitink J; Leprince O; Verdier J
Front Plant Sci; 2021; 12():673072. PubMed ID: 34149774
[TBL] [Abstract][Full Text] [Related]
34. High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.).
Zhang K; Kuraparthy V; Fang H; Zhu L; Sood S; Jones DC
BMC Genomics; 2019 Nov; 20(1):889. PubMed ID: 31771502
[TBL] [Abstract][Full Text] [Related]
35. Genetic architecture of cold tolerance in rice (Oryza sativa) determined through high resolution genome-wide analysis.
Shakiba E; Edwards JD; Jodari F; Duke SE; Baldo AM; Korniliev P; McCouch SR; Eizenga GC
PLoS One; 2017; 12(3):e0172133. PubMed ID: 28282385
[TBL] [Abstract][Full Text] [Related]
36. Exploring natural diversity of Medicago truncatula reveals physiotypes and loci associated with the response of seedling performance to nitrate supply.
Ben Hdech D; Aubry C; Alibert B; Beucher D; Prosperi JM; Limami AM; Teulat B
Physiol Plant; 2020 Oct; 170(2):227-247. PubMed ID: 32492180
[TBL] [Abstract][Full Text] [Related]
37. Genome-Wide Association Mapping to Identify Genetic Loci for Cold Tolerance and Cold Recovery During Germination in Rice.
Thapa R; Tabien RE; Thomson MJ; Septiningsih EM
Front Genet; 2020; 11():22. PubMed ID: 32153631
[TBL] [Abstract][Full Text] [Related]
38. Metabolic and gene expression hallmarks of seed germination uncovered by sodium butyrate in Medicago truncatula.
Pagano A; de Sousa Araújo S; Macovei A; Dondi D; Lazzaroni S; Balestrazzi A
Plant Cell Environ; 2019 Jan; 42(1):259-269. PubMed ID: 29756644
[TBL] [Abstract][Full Text] [Related]
39. Genetic and QTL analyses of seed dormancy and preharvest sprouting resistance in the wheat germplasm CN10955.
Ogbonnaya FC; Imtiaz M; Ye G; Hearnden PR; Hernandez E; Eastwood RF; van Ginkel M; Shorter SC; Winchester JM
Theor Appl Genet; 2008 May; 116(7):891-902. PubMed ID: 18368385
[TBL] [Abstract][Full Text] [Related]
40. Genome-wide association of drought-related and biomass traits with HapMap SNPs in Medicago truncatula.
Kang Y; Sakiroglu M; Krom N; Stanton-Geddes J; Wang M; Lee YC; Young ND; Udvardi M
Plant Cell Environ; 2015 Oct; 38(10):1997-2011. PubMed ID: 25707512
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]