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130 related items for PubMed ID: 20640844
1. Genetic basis of agronomically important traits in sugar beet (Beta vulgaris L.) investigated with joint linkage association mapping. Reif JC, Liu W, Gowda M, Maurer HP, Möhring J, Fischer S, Schechert A, Würschum T. Theor Appl Genet; 2010 Nov; 121(8):1489-99. PubMed ID: 20640844 [Abstract] [Full Text] [Related]
6. Evaluation of multi-locus models for genome-wide association studies: a case study in sugar beet. Würschum T, Kraft T. Heredity (Edinb); 2015 Mar; 114(3):281-90. PubMed ID: 25351864 [Abstract] [Full Text] [Related]
7. An anchored linkage map for sugar beet based on AFLP, SNP and RAPD markers and QTL mapping of a new source of resistance to Beet necrotic yellow vein virus. Grimmer MK, Trybush S, Hanley S, Francis SA, Karp A, Asher MJ. Theor Appl Genet; 2007 May; 114(7):1151-60. PubMed ID: 17333102 [Abstract] [Full Text] [Related]
8. Genome Wide Single Locus Single Trait, Multi-Locus and Multi-Trait Association Mapping for Some Important Agronomic Traits in Common Wheat (T. aestivum L.). Jaiswal V, Gahlaut V, Meher PK, Mir RR, Jaiswal JP, Rao AR, Balyan HS, Gupta PK. PLoS One; 2016 May; 11(7):e0159343. PubMed ID: 27441835 [Abstract] [Full Text] [Related]
10. Genetic architecture of growth traits in Populus revealed by integrated quantitative trait locus (QTL) analysis and association studies. Du Q, Gong C, Wang Q, Zhou D, Yang H, Pan W, Li B, Zhang D. New Phytol; 2016 Feb; 209(3):1067-82. PubMed ID: 26499329 [Abstract] [Full Text] [Related]
13. Genetic variation and association mapping for 12 agronomic traits in indica rice. Lu Q, Zhang M, Niu X, Wang S, Xu Q, Feng Y, Wang C, Deng H, Yuan X, Yu H, Wang Y, Wei X. BMC Genomics; 2015 Dec 16; 16():1067. PubMed ID: 26673149 [Abstract] [Full Text] [Related]
14. Analysis of DNA polymorphisms in sugar beet (Beta vulgaris L.) and development of an SNP-based map of expressed genes. Schneider K, Kulosa D, Soerensen TR, Möhring S, Heine M, Durstewitz G, Polley A, Weber E, Jamsari, Lein J, Hohmann U, Tahiro E, Weisshaar B, Schulz B, Koch G, Jung C, Ganal M. Theor Appl Genet; 2007 Sep 16; 115(5):601-15. PubMed ID: 17622508 [Abstract] [Full Text] [Related]
15. 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 21; 20(1):889. PubMed ID: 31771502 [Abstract] [Full Text] [Related]
18. Genome-enabled predictions for binomial traits in sugar beet populations. Biscarini F, Stevanato P, Broccanello C, Stella A, Saccomani M. BMC Genet; 2014 Jul 22; 15():87. PubMed ID: 25053450 [Abstract] [Full Text] [Related]
19. Association mapping in an elite maize breeding population. Liu W, Gowda M, Steinhoff J, Maurer HP, Würschum T, Longin CF, Cossic F, Reif JC. Theor Appl Genet; 2011 Sep 22; 123(5):847-58. PubMed ID: 21681489 [Abstract] [Full Text] [Related]
20. A multiparental cross population for mapping QTL for agronomic traits in durum wheat (Triticum turgidum ssp. durum). Milner SG, Maccaferri M, Huang BE, Mantovani P, Massi A, Frascaroli E, Tuberosa R, Salvi S. Plant Biotechnol J; 2016 Feb 22; 14(2):735-48. PubMed ID: 26132599 [Abstract] [Full Text] [Related] Page: [Next] [New Search]