985 related articles for article (PubMed ID: 37239449)
1. Genome-Wide Association Mapping for Yield and Yield-Related Traits in Rice (
Ashfaq M; Rasheed A; Zhu R; Ali M; Javed MA; Anwar A; Tabassum J; Shaheen S; Wu X
Genes (Basel); 2023 May; 14(5):. PubMed ID: 37239449
[TBL] [Abstract][Full Text] [Related]
2. QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.).
Marathi B; Guleria S; Mohapatra T; Parsad R; Mariappan N; Kurungara VK; Atwal SS; Prabhu KV; Singh NK; Singh AK
BMC Plant Biol; 2012 Aug; 12():137. PubMed ID: 22876968
[TBL] [Abstract][Full Text] [Related]
3. Genome wide association mapping of yield and various desirable agronomic traits in Rice.
Ashfaq M; Rasheed A; Sajjad M; Ali M; Rasool B; Javed MA; Allah SU; Shaheen S; Anwar A; Ahmad MS; Mubashar U
Mol Biol Rep; 2022 Dec; 49(12):11371-11383. PubMed ID: 35939183
[TBL] [Abstract][Full Text] [Related]
4. Validation of Yield Component Traits Identified by Genome-Wide Association Mapping in a
Eizenga GC; Jia MH; Jackson AK; Boykin DL; Ali ML; Shakiba E; Tran NT; McCouch SR; Edwards JD
Plant Genome; 2019 Mar; 12(1):. PubMed ID: 30951093
[TBL] [Abstract][Full Text] [Related]
5. InDel Marker Based Estimation of Multi-Gene Allele Contribution and Genetic Variations for Grain Size and Weight in Rice (
Gull S; Haider Z; Gu H; Raza Khan RA; Miao J; Wenchen T; Uddin S; Ahmad I; Liang G
Int J Mol Sci; 2019 Sep; 20(19):. PubMed ID: 31569360
[TBL] [Abstract][Full Text] [Related]
6. 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; 13(6):e0198012. PubMed ID: 29856872
[TBL] [Abstract][Full Text] [Related]
7. 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
[TBL] [Abstract][Full Text] [Related]
8. 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; 22(1):86. PubMed ID: 33509071
[TBL] [Abstract][Full Text] [Related]
9. Identification of QTLs for high grain yield and component traits in new plant types of rice.
Donde R; Mohapatra S; Baksh SKY; Padhy B; Mukherjee M; Roy S; Chattopadhyay K; Anandan A; Swain P; Sahoo KK; Singh ON; Behera L; Dash SK
PLoS One; 2020; 15(7):e0227785. PubMed ID: 32673318
[TBL] [Abstract][Full Text] [Related]
10. Genome-wide association mapping for yield and other agronomic traits in an elite breeding population of tropical rice (Oryza sativa).
Begum H; Spindel JE; Lalusin A; Borromeo T; Gregorio G; Hernandez J; Virk P; Collard B; McCouch SR
PLoS One; 2015; 10(3):e0119873. PubMed ID: 25785447
[TBL] [Abstract][Full Text] [Related]
11. 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; 13(10):. PubMed ID: 37535690
[TBL] [Abstract][Full Text] [Related]
12. Mapping QTLs for improving grain yield using the USDA rice mini-core collection.
Li X; Yan W; Agrama H; Jia L; Shen X; Jackson A; Moldenhauer K; Yeater K; McClung A; Wu D
Planta; 2011 Aug; 234(2):347-61. PubMed ID: 21479810
[TBL] [Abstract][Full Text] [Related]
13. 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(1):390. PubMed ID: 35606708
[TBL] [Abstract][Full Text] [Related]
14. Fine mapping of a quantitative trait locus for spikelet number per panicle in a new plant type rice and evaluation of a near-isogenic line for grain productivity.
Sasaki K; Fujita D; Koide Y; Lumanglas PD; Gannaban RB; Tagle AG; Obara M; Fukuta Y; Kobayashi N; Ishimaru T
J Exp Bot; 2017 May; 68(11):2693-2702. PubMed ID: 28582550
[TBL] [Abstract][Full Text] [Related]
15. 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; 18(1):282. PubMed ID: 30428844
[TBL] [Abstract][Full Text] [Related]
16. Genome-wide association analyses of agronomic traits and Striga hermonthica resistance in pearl millet.
Rouamba A; Shimelis H; Drabo I; Mrema E; Ojiewo CO; Mwadzingeni L; Rathore A
Sci Rep; 2023 Oct; 13(1):17152. PubMed ID: 37821558
[TBL] [Abstract][Full Text] [Related]
17. Quantitative trait locus analysis and fine mapping of the qPL6 locus for panicle length in rice.
Zhang L; Wang J; Wang J; Wang L; Ma B; Zeng L; Qi Y; Li Q; He Z
Theor Appl Genet; 2015 Jun; 128(6):1151-61. PubMed ID: 25821195
[TBL] [Abstract][Full Text] [Related]
18. Identifying natural genotypes of grain number per panicle in rice (Oryza sativa L.) by association mapping.
Xie J; Li F; Khan NU; Zhu X; Wang X; Zhang Z; Ma X; Zhao Y; Zhang Q; Zhang S; Zhang Z; Li J; Li Z; Zhang H
Genes Genomics; 2019 Mar; 41(3):283-295. PubMed ID: 30456522
[TBL] [Abstract][Full Text] [Related]
19. QTL mapping for resistance to and tolerance for the rice root-knot nematode, Meloidogyne graminicola.
Galeng-Lawilao J; Kumar A; De Waele D
BMC Genet; 2018 Aug; 19(1):53. PubMed ID: 30081817
[TBL] [Abstract][Full Text] [Related]
20. Multi-locus genome-wide association studies for five yield-related traits in rice.
Zhong H; Liu S; Sun T; Kong W; Deng X; Peng Z; Li Y
BMC Plant Biol; 2021 Aug; 21(1):364. PubMed ID: 34376143
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
