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203 related items for PubMed ID: 35069667
1. Uncovering Novel Genomic Regions and Candidate Genes for Senescence-Related Traits by Genome-Wide Association Studies in Upland Cotton (Gossypium hirsutum L.). Liu Q, Li L, Feng Z, Yu S. Front Plant Sci; 2021; 12():809522. PubMed ID: 35069667 [Abstract] [Full Text] [Related]
2. Insights into the Genomic Regions and Candidate Genes of Senescence-Related Traits in Upland Cotton via GWAS. Liu Q, Feng Z, Huang C, Wen J, Li L, Yu S. Int J Mol Sci; 2022 Aug 02; 23(15):. PubMed ID: 35955713 [Abstract] [Full Text] [Related]
5. Genetic Detection of Lint Percentage Applying Single-Locus and Multi-Locus Genome-Wide Association Studies in Chinese Early-Maturity Upland Cotton. Su J, Wang C, Hao F, Ma Q, Wang J, Li J, Ning X. Front Plant Sci; 2019 Aug 02; 10():964. PubMed ID: 31428110 [Abstract] [Full Text] [Related]
11. Genome-wide association analysis reveals quantitative trait loci and candidate genes involved in yield components under multiple field environments in cotton (Gossypium hirsutum). Zhu G, Hou S, Song X, Wang X, Wang W, Chen Q, Guo W. BMC Plant Biol; 2021 May 31; 21(1):250. PubMed ID: 34059007 [Abstract] [Full Text] [Related]
12. Identification of favorable SNP alleles and candidate genes for traits related to early maturity via GWAS in upland cotton. Su J, Pang C, Wei H, Li L, Liang B, Wang C, Song M, Wang H, Zhao S, Jia X, Mao G, Huang L, Geng D, Wang C, Fan S, Yu S. BMC Genomics; 2016 Aug 30; 17(1):687. PubMed ID: 27576450 [Abstract] [Full Text] [Related]
13. A genome-wide association study uncovers novel genomic regions and candidate genes of yield-related traits in upland cotton. Sun Z, Wang X, Liu Z, Gu Q, Zhang Y, Li Z, Ke H, Yang J, Wu J, Wu L, Zhang G, Zhang C, Ma Z. Theor Appl Genet; 2018 Nov 30; 131(11):2413-2425. PubMed ID: 30132023 [Abstract] [Full Text] [Related]
14. Genome-Wide Association Studies Reveal Genetic Variation and Candidate Genes of Drought Stress Related Traits in Cotton (Gossypium hirsutum L.). Hou S, Zhu G, Li Y, Li W, Fu J, Niu E, Li L, Zhang D, Guo W. Front Plant Sci; 2018 Nov 30; 9():1276. PubMed ID: 30233620 [Abstract] [Full Text] [Related]
15. Population structure and genetic basis of the agronomic traits of upland cotton in China revealed by a genome-wide association study using high-density SNPs. Huang C, Nie X, Shen C, You C, Li W, Zhao W, Zhang X, Lin Z. Plant Biotechnol J; 2017 Nov 30; 15(11):1374-1386. PubMed ID: 28301713 [Abstract] [Full Text] [Related]
16. Multi-Locus Genome-Wide Association Studies of Fiber-Quality Related Traits in Chinese Early-Maturity Upland Cotton. Su J, Ma Q, Li M, Hao F, Wang C. Front Plant Sci; 2018 Nov 30; 9():1169. PubMed ID: 30166989 [Abstract] [Full Text] [Related]
17. Genetic variation of dynamic fiber elongation and developmental quantitative trait locus mapping of fiber length in upland cotton (Gossypium hirsutum L.). Ma J, Geng Y, Pei W, Wu M, Li X, Liu G, Li D, Ma Q, Zang X, Yu S, Zhang J, Yu J. BMC Genomics; 2018 Dec 06; 19(1):882. PubMed ID: 30522448 [Abstract] [Full Text] [Related]
18. Detection of Stable Elite Haplotypes and Potential Candidate Genes of Boll Weight Across Multiple Environments via GWAS in Upland Cotton. Feng Z, Li L, Tang M, Liu Q, Ji Z, Sun D, Liu G, Zhao S, Huang C, Zhang Y, Zhang G, Yu S. Front Plant Sci; 2022 Dec 06; 13():929168. PubMed ID: 35769298 [Abstract] [Full Text] [Related]
19. Genome-wide association analysis reveals loci and candidate genes involved in fiber quality traits in sea island cotton (Gossypium barbadense). Su X, Zhu G, Song X, Xu H, Li W, Ning X, Chen Q, Guo W. BMC Plant Biol; 2020 Jun 22; 20(1):289. PubMed ID: 32571222 [Abstract] [Full Text] [Related]
20. Genome-Wide Association Analysis Reveals Loci and Candidate Genes Involved in Fiber Quality Traits Under Multiple Field Environments in Cotton (Gossypium hirsutum). Song X, Zhu G, Hou S, Ren Y, Amjid MW, Li W, Guo W. Front Plant Sci; 2021 Jun 22; 12():695503. PubMed ID: 34421946 [Abstract] [Full Text] [Related] Page: [Next] [New Search]