QTL mapping of fiber quality in an elite hybrid derived-RIL population of upland cotton

Euphytica ◽  
2006 ◽  
Vol 152 (3) ◽  
pp. 367-378 ◽  
Author(s):  
Baohua Wang ◽  
Wangzhen Guo ◽  
Xiefei Zhu ◽  
Yaoting Wu ◽  
Naitai Huang ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Upland Cotton ◽  
Fiber Quality ◽  
Ril Population

scholarly journals QTL Mapping of Fiber Quality and Yield-Related Traits in an Intra-Specific Upland Cotton Using Genotype by Sequencing (GBS)

2018 ◽  
Vol 19 (2) ◽  
pp. 441 ◽  
Author(s):  
Latyr Diouf ◽  
Richard Magwanga ◽  
Wenfang Gong ◽  
Shoupu He ◽  
Zhaoe Pan ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Upland Cotton ◽  
Fiber Quality ◽  
Genotype By Sequencing

scholarly journals QTL and genetic analysis controlling fiber quality traits using paternal backcross population in Upland Cotton

2019 ◽  
Author(s):  
Lingling Ma ◽  
Ying Su ◽  
Yumei Wang ◽  
Hushai Nie ◽  
Yupeng Cui ◽  
...  
Keyword(s):  
Upland Cotton ◽  
Fiber Strength ◽  
Fiber Quality ◽  
Field Trials ◽  
Quality Traits ◽  
Backcross Population ◽  
Fiber Quality Traits ◽  
Ril Population ◽  
Cotton Hybrid ◽  
Novel Alleles

ABSTRACTIn present study, F14 recombinant inbred line (RIL) population was backcrossed to paternal parent for a paternal backcross (BC/P) population, deriving from one Upland cotton hybrid. Three repetitive BC/P field trials and one BC/M field trial were performed including both two BC populations and the original RIL population. Totally, for fiber quality traits, 24 novel QTLs were detected and 13 QTLs validated previous results. And 19 quantitative trait loci (QTL) in BC/P populations explained 5.01% - 22.09% of phenotype variation (PV). Among the 19 QTLs, three QTLs were detected simultaneously in BC/M population. The present study provided novel alleles of male parent for fiber quality traits with positive genetic effects. Particularly, qFS-Chr3-1 controlling fiber strength explained 22.09% of PV in BC/P population, which increased 0.48 cN/tex for fiber strength. A total of seven, two, eight, two and six QTLs explained over 10.00% of PV for fiber length, fiber uniformity, fiber strength, fiber elongation and fiber micronaire, respectively. In the RIL population, six common QTLs detected in more than one environment such as qFL-Chr1-2, qFS-Chr5-1, qFS-Chr9-1, qFS-Chr21-1, qFM-Chr9-1 and qFM-Chr9-2. Two common QTLs of qFE-Chr2-2 (TMB2386-SWU12343) and qFM-Chr9-1 (NAU2873-CGR6771) explained 22.42% and 21.91% of PV. In addition, a total of 142 and 46 epistatic QTLs and QTL × environments (E-QTLs and QQEs) were identified in RIL-P and BC/P populations, respectively.

scholarly journals Genetic Map Construction and Fiber Quality QTL Mapping Using the CottonSNP80K Array in Upland Cotton

2018 ◽  
Vol 9 ◽  
Author(s):  
Zhaoyun Tan ◽  
Zhiqin Zhang ◽  
Xujing Sun ◽  
Qianqian Li ◽  
Ying Sun ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Genetic Map ◽  
Upland Cotton ◽  
Fiber Quality ◽  
Map Construction

scholarly journals Co-expression network and comparative transcriptome analysis for fiber initiation and elongation reveal genetic differences in two lines from upland cotton CCRI70 RIL population

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11812
Author(s):  
Xiao Jiang ◽  
Liqiang Fan ◽  
Pengtao Li ◽  
Xianyan Zou ◽  
Zhen Zhang ◽  
...  
Keyword(s):  
Cotton Fiber ◽  
Upland Cotton ◽  
Molecular Mechanisms ◽  
Natural Fiber ◽  
Expression Profiles ◽  
Fiber Quality ◽  
Auxin Signaling ◽  
Hub Genes ◽  
Fiber Initiation ◽  
Ril Population

Upland cotton is the most widely planted for natural fiber around the world, and either lint percentage (LP) or fiber length (FL) is the crucial component tremendously affecting cotton yield and fiber quality, respectively. In this study, two lines MBZ70-053 and MBZ70-236 derived from G. hirsutum CCRI70 recombinant inbred line (RIL) population presenting different phenotypes in LP and FL traits were chosen to conduct RNA sequencing on ovule and fiber samples, aiming at exploring the differences of molecular and genetic mechanisms during cotton fiber initiation and elongation stages. As a result, 249/128, 369/206, 4296/1198 and 3547/2129 up-/down- regulated differentially expressed genes (DGEs) in L2 were obtained at −3, 0, 5 and 10 days post-anthesis (DPA), respectively. Seven gene expression profiles were discriminated using Short Time-series Expression Miner (STEM) analysis; seven modules and hub genes were identified using weighted gene co-expression network analysis. The DEGs were mainly enriched into energetic metabolism and accumulating as well as auxin signaling pathway in initiation and elongation stages, respectively. Meanwhile, 29 hub genes were identified as 14-3-3ω, TBL35, GhACS, PME3, GAMMA-TIP, PUM-7, etc., where the DEGs and hub genes revealed the genetic and molecular mechanisms and differences during cotton fiber development.

QTL mapping for fiber quality traits across multiple generations and environments in upland cotton

2011 ◽  
Vol 30 (1) ◽  
pp. 569-582 ◽  
Author(s):  
Fu-Ding Sun ◽  
Jian-Hong Zhang ◽  
Shu-Fang Wang ◽  
Wan-Kui Gong ◽  
Yu-Zhen Shi ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Upland Cotton ◽  
Fiber Quality ◽  
Quality Traits ◽  
Fiber Quality Traits ◽  
Multiple Generations

scholarly journals QTL Mapping of Agronomic and Economic Traits for Four F2 Populations in Upland Cotton

2020 ◽  
Author(s):  
Hongge Li ◽  
Zhaoe Pan ◽  
Shoupu He ◽  
Yinhua Jia ◽  
Xiaoli Geng ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Upland Cotton ◽  
Genetic Basis ◽  
Fiber Quality ◽  
Yield Potential ◽  
World Cotton ◽  
Yield Traits ◽  
Quality Traits ◽  
Economic Traits ◽  
Fiber Quality Traits

Abstract Background: Upland cotton (Gossypium hirsutum) accounts for more than 90% of annual world cotton output due to its high yield potential. However, yield traits and fiber quality traits exhibit negative correlations in most cases. Here, we constructed four F2 populations, using two normal lines and two introgression lines, for simultaneously detection the genetic basis underlying complex traits such as yield and fiber quality in upland cotton. Subsequently, the phenotyping of 8 agronomic and economic traits along with quantitative trait loci (QTL) mapping was implemented. Results: Extensive phenotype variations and transgressive segregation were found across segregation populations. Four genetic maps were constructed with the length of 585.97cM, 752.45cM, 752.45cM and 1163.66cM. The mapping resulted in the identification 50 QTLs (27 were for fiber quality traits and 16 for yield traits) across four populations. Multiple QTLs having the common maker, such as qBW4 and qBW2, or residing in the same QTL cluster, such as qLP9 and qFL9-1, were prioritized for further research. Conclusions: These findings will provide insight into the genetic basis of simultaneous improvement of yield and fiber quality in upland cotton breeding.

scholarly journals QTL Mapping of Agronomic and Economic Traits for Four F2 Populations in Upland Cotton

2020 ◽  
Author(s):  
Hongge Li ◽  
Zhaoe Pan ◽  
Shoupu He ◽  
Yinhua Jia ◽  
Xiaoli Geng ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Upland Cotton ◽  
Fiber Quality ◽  
Genetic Maps ◽  
Yield Potential ◽  
World Cotton ◽  
Yield Traits ◽  
Quality Traits ◽  
Economic Traits ◽  
Fiber Quality Traits

Abstract Background: Upland cotton (Gossypium hirsutum) accounts for more than 90% of annual world cotton output due to its high yield potential. However, yield traits and fiber quality traits exhibit negative correlations in most cases. Here, to dissect simultaneously the genetic basis underlying complex traits such as yield and fiber quality as well as their genetic correlations in upland cotton, four F2 populations were constructed using two normal lines and two introgression lines. Subsequently, phenotyping of 8 agronomic and economic traits along with QTL mapping were implemented.Results: Extensive phenotype variations and transgressive segregation were found across segregation populations. Four genetic maps with length of 585.97cM, 752.45cM, 752.45cM and 1163.66cM were construct. The result of mapping displayed a total of 50 QTLs across four populations were identified, of which 27 were for fiber quality traits and 16 for yield traits. Multiple QTLs having the common maker, such as qBW4 and qBW2, or residing in the same QTL cluster, such as qLP9 and qFL9-1, were prioritized for further research.Conclusions: These findings will provide insight into simultaneous improvement of yield and fiber quality in upland cotton breeding.

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