BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

249 related articles for article (PubMed ID: 30167759)

  • 1. Efficient QTL detection of flowering date in a soybean RIL population using the novel restricted two-stage multi-locus GWAS procedure.
    Pan L; He J; Zhao T; Xing G; Wang Y; Yu D; Chen S; Gai J
    Theor Appl Genet; 2018 Dec; 131(12):2581-2599. PubMed ID: 30167759
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detecting the QTL-allele system conferring flowering date in a nested association mapping population of soybean using a novel procedure.
    Li S; Cao Y; He J; Zhao T; Gai J
    Theor Appl Genet; 2017 Nov; 130(11):2297-2314. PubMed ID: 28799029
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Analysis of QTL-allele system conferring drought tolerance at seedling stage in a nested association mapping population of soybean [Glycine max (L.) Merr.] using a novel GWAS procedure.
    Khan MA; Tong F; Wang W; He J; Zhao T; Gai J
    Planta; 2018 Oct; 248(4):947-962. PubMed ID: 29980855
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An innovative procedure of genome-wide association analysis fits studies on germplasm population and plant breeding.
    He J; Meng S; Zhao T; Xing G; Yang S; Li Y; Guan R; Lu J; Wang Y; Xia Q; Yang B; Gai J
    Theor Appl Genet; 2017 Nov; 130(11):2327-2343. PubMed ID: 28828506
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Growth period QTL-allele constitution of global soybeans and its differential evolution changes in geographic adaptation versus maturity group extension.
    Liu X; Li C; Cao J; Zhang X; Wang C; He J; Xing G; Wang W; Zhao J; Gai J
    Plant J; 2021 Dec; 108(6):1624-1643. PubMed ID: 34618996
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detecting the QTL-Allele System of Seed Oil Traits Using Multi-Locus Genome-Wide Association Analysis for Population Characterization and Optimal Cross Prediction in Soybean.
    Zhang Y; He J; Wang H; Meng S; Xing G; Li Y; Yang S; Zhao J; Zhao T; Gai J
    Front Plant Sci; 2018; 9():1793. PubMed ID: 30568668
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detecting the QTL-allele system of seed isoflavone content in Chinese soybean landrace population for optimal cross design and gene system exploration.
    Meng S; He J; Zhao T; Xing G; Li Y; Yang S; Lu J; Wang Y; Gai J
    Theor Appl Genet; 2016 Aug; 129(8):1557-76. PubMed ID: 27189002
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Establishment of a 100-seed weight quantitative trait locus-allele matrix of the germplasm population for optimal recombination design in soybean breeding programmes.
    Zhang Y; He J; Wang Y; Xing G; Zhao J; Li Y; Yang S; Palmer RG; Zhao T; Gai J
    J Exp Bot; 2015 Oct; 66(20):6311-25. PubMed ID: 26163701
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Genetic dynamics of earlier maturity group emergence in south-to-north extension of Northeast China soybeans.
    Fu M; Wang Y; Ren H; Du W; Wang D; Bao R; Yang X; Tian Z; Fu L; Cheng Y; Su J; Sun B; Zhao J; Gai J
    Theor Appl Genet; 2020 Jun; 133(6):1839-1857. PubMed ID: 32030467
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identifying Wild Versus Cultivated Gene-Alleles Conferring Seed Coat Color and Days to Flowering in Soybean.
    Liu C; Chen X; Wang W; Hu X; Han W; He Q; Yang H; Xiang S; Gai J
    Int J Mol Sci; 2021 Feb; 22(4):. PubMed ID: 33557103
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Genome-Wide Association Studies (GWAS).
    He J; Gai J
    Methods Mol Biol; 2023; 2638():123-146. PubMed ID: 36781639
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dissecting genomic hotspots underlying seed protein, oil, and sucrose content in an interspecific mapping population of soybean using high-density linkage mapping.
    Patil G; Vuong TD; Kale S; Valliyodan B; Deshmukh R; Zhu C; Wu X; Bai Y; Yungbluth D; Lu F; Kumpatla S; Shannon JG; Varshney RK; Nguyen HT
    Plant Biotechnol J; 2018 Nov; 16(11):1939-1953. PubMed ID: 29618164
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton.
    Su J; Wang C; Ma Q; Zhang A; Shi C; Liu J; Zhang X; Yang D; Ma X
    BMC Plant Biol; 2020 Sep; 20(1):416. PubMed ID: 32894064
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Construction of high-density genetic map and QTL mapping of yield-related and two quality traits in soybean RILs population by RAD-sequencing.
    Liu N; Li M; Hu X; Ma Q; Mu Y; Tan Z; Xia Q; Zhang G; Nian H
    BMC Genomics; 2017 Jun; 18(1):466. PubMed ID: 28629322
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of genetic loci and candidate genes related to soybean flowering through genome wide association study.
    Li M; Liu Y; Tao Y; Xu C; Li X; Zhang X; Han Y; Yang X; Sun J; Li W; Li D; Zhao X; Zhao L
    BMC Genomics; 2019 Dec; 20(1):987. PubMed ID: 31842754
    [TBL] [Abstract][Full Text] [Related]  

  • 16. QTL mapping of domestication-related traits in soybean (Glycine max).
    Liu B; Fujita T; Yan ZH; Sakamoto S; Xu D; Abe J
    Ann Bot; 2007 Nov; 100(5):1027-38. PubMed ID: 17684023
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Combined Linkage and GWAS Analysis Identifies QTLs Linked to Soybean Seed Protein and Oil Content.
    Zhang T; Wu T; Wang L; Jiang B; Zhen C; Yuan S; Hou W; Wu C; Han T; Sun S
    Int J Mol Sci; 2019 Nov; 20(23):. PubMed ID: 31775326
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Genome-Wide Detection of Major and Epistatic Effect QTLs for Seed Protein and Oil Content in Soybean Under Multiple Environments Using High-Density Bin Map.
    Karikari B; Li S; Bhat JA; Cao Y; Kong J; Yang J; Gai J; Zhao T
    Int J Mol Sci; 2019 Feb; 20(4):. PubMed ID: 30813455
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Mapping of QTL for agronomic traits using high-density SNPs with an RIL population in maize.
    Sa KJ; Choi IY; Park JY; Choi JK; Ryu SH; Lee JK
    Genes Genomics; 2021 Dec; 43(12):1403-1411. PubMed ID: 34591233
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Major Quantitative Trait Loci for Seed Oil Content in Soybeans by Combining Linkage and Genome-Wide Association Mapping.
    Cao Y; Li S; Wang Z; Chang F; Kong J; Gai J; Zhao T
    Front Plant Sci; 2017; 8():1222. PubMed ID: 28747922
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.