Genome-wide association study of fiber quality traits in US upland cotton (Gossypium hirsutum L.)-Reference-Cited by-同舟云学术

Genome-wide association study of fiber quality traits in US upland cotton (Gossypium hirsutum L.)

Published:2024-09 Issue:9 Volume:137 Page:
ISSN:0040-5752
Container-title:Theoretical and Applied Genetics
language:en
Short-container-title:Theor Appl Genet

Author:

Gowda S. Anjan,Fang Hui,Tyagi Priyanka,Bourland Fred,Dever Jane,Campbell Benjamin Todd,Zhang Jinfa,Abdelraheem Abdelraheem,Sood Shilpa,Jones Don C.,Kuraparthy Vasu^ORCID

Funder

Cotton Incorporated

North Carolina Cotton Producers Association

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00122-024-04717-7.pdf

Reference96 articles.

1. Abdelraheem A, Kuraparthy V, Hinze L, Stelly D, Wedegaertner T, Zhang J (2021) Genome-wide association study for tolerance to drought and salt tolerance and resistance to thrips at the seedling growth stage in US upland cotton. Ind Crops Prod 169:113645. https://doi.org/10.1016/j.indcrop.2021.113645

2. Abdullaev AA, Salakhutdinov IB, Egamberdiev SS, Khurshut EE, Rizaeva SM, Ulloa M, Abdurakhmonov IY (2017) Genetic diversity, linkage disequilibrium, and association mapping analyses of Gossypium barbadense L. germplasm. PLoS ONE 12(11):e0188125. https://doi.org/10.1371/journal.pone.0188125

3. Aranzana MJ, Kim S, Zhao K, Bakker E, Horton M, Jakob K, Lister C, Molitor J, Shindo C, Tang C, Toomajian C (2005) Genome-wide association mapping in Arabidopsis identifies previously known flowering time and pathogen resistance genes. PLoS Genet 1(5):e60. https://doi.org/10.1371/journal.pgen.0010060

4. Arcade A, Labourdette A, Falque M, Mangin B, Chardon F, Charcosset A, Joets J (2004) BioMercator: integrating genetic maps and QTL towards discovery of candidate genes. Bioinform 20(14):2324–2326. https://doi.org/10.1093/bioinformatics/bth230

5. Barrett JC, Fry B, Maller J, Daly MJ (2005) Haploview: analysis and visualization of LD and haplotype maps. Bioinform 21:263–265. https://doi.org/10.1093/bioinformatics/bth457