99 related articles for article (PubMed ID: 26167172)
1. Toward Coalescing Gene Expression and Function with QTLs of Water-Deficit Stress in Cotton.
Kebede H; Payton P; Pham HT; Allen RD; Wright RJ
Int J Plant Genomics; 2015; 2015():892716. PubMed ID: 26167172
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Genome-wide association reveals genetic variation of lint yield components under salty field conditions in cotton (Gossypium hirsutum L.).
Zhu G; Gao W; Song X; Sun F; Hou S; Liu N; Huang Y; Zhang D; Ni Z; Chen Q; Guo W
BMC Plant Biol; 2020 Jan; 20(1):23. PubMed ID: 31937242
[TBL] [Abstract][Full Text] [Related]
4. A high-density genetic map of extra-long staple cotton (Gossypium barbadense) constructed using genotyping-by-sequencing based single nucleotide polymorphic markers and identification of fiber traits-related QTL in a recombinant inbred line population.
Fan L; Wang L; Wang X; Zhang H; Zhu Y; Guo J; Gao W; Geng H; Chen Q; Qu Y
BMC Genomics; 2018 Jun; 19(1):489. PubMed ID: 29940861
[TBL] [Abstract][Full Text] [Related]
5. Mapping by sequencing in cotton (Gossypium hirsutum) line MD52ne identified candidate genes for fiber strength and its related quality attributes.
Islam MS; Zeng L; Thyssen GN; Delhom CD; Kim HJ; Li P; Fang DD
Theor Appl Genet; 2016 Jun; 129(6):1071-86. PubMed ID: 26883043
[TBL] [Abstract][Full Text] [Related]
6. Prioritization of Candidate Genes in QTL Regions for Physiological and Biochemical Traits Underlying Drought Response in Barley (
Gudys K; Guzy-Wrobelska J; Janiak A; Dziurka MA; Ostrowska A; Hura K; Jurczyk B; Żmuda K; Grzybkowska D; Śróbka J; Urban W; Biesaga-Koscielniak J; Filek M; Koscielniak J; Mikołajczak K; Ogrodowicz P; Krystkowiak K; Kuczyńska A; Krajewski P; Szarejko I
Front Plant Sci; 2018; 9():769. PubMed ID: 29946328
[TBL] [Abstract][Full Text] [Related]
7. Mapping QTLs for grain yield components in wheat under heat stress.
Bhusal N; Sarial AK; Sharma P; Sareen S
PLoS One; 2017; 12(12):e0189594. PubMed ID: 29261718
[TBL] [Abstract][Full Text] [Related]
8. A meta-analysis of quantitative trait loci for abiotic and biotic stress resistance in tetraploid cotton.
Abdelraheem A; Liu F; Song M; Zhang JF
Mol Genet Genomics; 2017 Dec; 292(6):1221-1235. PubMed ID: 28647758
[TBL] [Abstract][Full Text] [Related]
9. Water Deficit-Responsive QTLs for Cell Wall Degradability and Composition in Maize at Silage Stage.
Virlouvet L; El Hage F; Griveau Y; Jacquemot MP; Gineau E; Baldy A; Legay S; Horlow C; Combes V; Bauland C; Palafre C; Falque M; Moreau L; Coursol S; Méchin V; Reymond M
Front Plant Sci; 2019; 10():488. PubMed ID: 31105719
[TBL] [Abstract][Full Text] [Related]
10. A High-Resolution InDel (Insertion-Deletion) Markers-Anchored Consensus Genetic Map Identifies Major QTLs Governing Pod Number and Seed Yield in Chickpea.
Srivastava R; Singh M; Bajaj D; Parida SK
Front Plant Sci; 2016; 7():1362. PubMed ID: 27695461
[TBL] [Abstract][Full Text] [Related]
11. Mapping QTLs associated with agronomic and physiological traits under terminal drought and heat stress conditions in wheat (Triticum aestivum L.).
Tahmasebi S; Heidari B; Pakniyat H; McIntyre CL
Genome; 2017 Jan; 60(1):26-45. PubMed ID: 27996306
[TBL] [Abstract][Full Text] [Related]
12. QTL analysis of genotype x environment interactions affecting cotton fiber quality.
Paterson AH; Saranga Y; Menz M; Jiang CX; Wright RJ
Theor Appl Genet; 2003 Feb; 106(3):384-96. PubMed ID: 12589538
[TBL] [Abstract][Full Text] [Related]
13. QTL delineation for five fiber quality traits based on an intra-specific Gossypium hirsutum L. recombinant inbred line population.
Jia X; Wang H; Pang C; Ma Q; Su J; Wei H; Song M; Fan S; Yu S
Mol Genet Genomics; 2018 Aug; 293(4):831-843. PubMed ID: 29423657
[TBL] [Abstract][Full Text] [Related]
14. QTL mapping in A-genome diploid Asiatic cotton and their congruence analysis with AD-genome tetraploid cotton in genus Gossypium.
Ma X; Ding Y; Zhou B; Guo W; Lv Y; Zhu X; Zhang T
J Genet Genomics; 2008 Dec; 35(12):751-62. PubMed ID: 19103431
[TBL] [Abstract][Full Text] [Related]
15. Map-Based Functional Analysis of the
Magwanga RO; Kirungu JN; Lu P; Cai X; Zhou Z; Xu Y; Hou Y; Agong SG; Wang K; Liu F
Int J Mol Sci; 2019 Oct; 20(19):. PubMed ID: 31597268
[TBL] [Abstract][Full Text] [Related]
16. High Resolution Mapping of QTLs for Heat Tolerance in Rice Using a 5K SNP Array.
Ps S; Sv AM; Prakash C; Mk R; Tiwari R; Mohapatra T; Singh NK
Rice (N Y); 2017 Dec; 10(1):28. PubMed ID: 28584974
[TBL] [Abstract][Full Text] [Related]
17. Genetic analysis of Verticillium wilt resistance in a backcross inbred line population and a meta-analysis of quantitative trait loci for disease resistance in cotton.
Zhang J; Yu J; Pei W; Li X; Said J; Song M; Sanogo S
BMC Genomics; 2015 Aug; 16(1):577. PubMed ID: 26239843
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Mapping QTLs for root morphology of a rice population adapted to rainfed lowland conditions.
Kamoshita A; Wade J; Ali L; Pathan S; Zhang J; Sarkarung S; Nguyen T
Theor Appl Genet; 2002 Apr; 104(5):880-893. PubMed ID: 12582650
[TBL] [Abstract][Full Text] [Related]
20. Genetic basis of heterosis for yield and yield components explored by QTL mapping across four genetic populations in upland cotton.
Li C; Zhao T; Yu H; Li C; Deng X; Dong Y; Zhang F; Zhang Y; Mei L; Chen J; Zhu S
BMC Genomics; 2018 Dec; 19(1):910. PubMed ID: 30541432
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
