Genome-wide association study reveals novel quantitative trait loci and candidate genes of lint percentage in upland cotton based on the CottonSNP80K array-Reference-Cited by-同舟云学术

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Genome-wide association study reveals novel quantitative trait loci and candidate genes of lint percentage in upland cotton based on the CottonSNP80K array

Published:2022-05-16 Issue:7 Volume:135 Page:2279-2295
ISSN:0040-5752
Container-title:Theoretical and Applied Genetics
language:en
Short-container-title:Theor Appl Genet

Author:

Chen Yu,Gao Yang,Chen Pengyun,Zhou Juan,Zhang Chuanyun,Song Zhangqiang,Huo Xuehan,Du Zhaohai,Gong Juwu,Zhao Chengjie,Wang Shengli,Zhang Jingxia,Wang Furong,Zhang Jun^ORCID

Funder

the National Natural Science Foundation of China

Seed-Industrialized Development Program in Shandong Province

China Agriculture Research System of MOF and MARA

the Taishan Scholar Project of Shandong Province

State Key Laboratory of Cotton Biology

the Innovation Project in Shandong Academy of Agricultural Sciences

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Agronomy and Crop Science,General Medicine,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s00122-022-04111-1.pdf

Reference71 articles.

1. Abdelraheem A, Fang DD, Zhang J (2018) Quantitative trait locus mapping of drought and salt tolerance in an introgressed recombinant inbred line population of upland cotton under the greenhouse and field conditions. Euphytica. https://doi.org/10.1007/s10681-017-2095-x

2. Abdurakhmonov IY, Buriev ZT, Saha S, Pepper AE, Musaev JA, Almatov A, Shermatov SE, Kushanov FN, Mavlonov GT, Reddy UK, Yu JZ, Jenkins JN, Kohel RJ, Abdukarimov A (2007) Microsatellite markers associated with lint percentage trait in cotton, Gossypium hirsutum. Euphytica 156:141–156

3. Atwell S, Huang YS, Vilhjalmsson BJ, Willems G, Horton M, Al E (2010) Genome-wide association study of 107 phenotypes in Arabidopsis thaliana in bred lines. Nature 465:627–631

4. Barrett JC, Fry B, Maller J, Daly MJ (2005) Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 21:263–265

5. Bates BD, Maechler M (2007) lme4: Linear mixed-effects models using S4 classes

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