Mapping and Validation of Fiber Strength Quantitative Trait Loci on Chromosome 24 in Upland Cotton

Crop Science ◽  
2012 ◽  
Vol 52 (3) ◽  
pp. 1115-1122 ◽  
Author(s):  
Pawan Kumar ◽  
Rippy Singh ◽  
Edward L. Lubbers ◽  
Xinlian Shen ◽  
Andrew H. Paterson ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Upland Cotton ◽  
Fiber Strength ◽  
Trait Loci

Genetic mapping of quantitative trait loci for fiber quality and yield trait by RIL approach in Upland cotton

Euphytica ◽  
2006 ◽  
Vol 155 (3) ◽  
pp. 371-380 ◽  
Author(s):  
Xinlian Shen ◽  
Wangzhen Guo ◽  
Qiongxian Lu ◽  
Xiefei Zhu ◽  
Youlu Yuan ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Genetic Mapping ◽  
Quantitative Trait ◽  
Upland Cotton ◽  
Fiber Quality ◽  
Yield Trait ◽  
Trait Loci

Quantitative trait loci mapping for plant architecture traits across two upland cotton populations using SSR markers

2013 ◽  
Vol 152 (2) ◽  
pp. 275-287 ◽  
Author(s):  
C. LI ◽  
L. SONG ◽  
H. ZHAO ◽  
Z. XIA ◽  
Z. JIA ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Ssr Markers ◽  
Cotton Plant ◽  
Quantitative Trait ◽  
Upland Cotton ◽  
Plant Architecture ◽  
High Reliability ◽  
Branch Length ◽  
Common Qtl ◽  
Trait Loci

SUMMARYCotton plant architecture is an important agronomic trait affecting yield and quality. In the present study, two F2:3 upland cotton (Gossypium hirsutum L.) populations were developed from Baimian2/TM-1 and Baimian2/CIR12 to map quantitative trait loci (QTL) for cotton plant architecture traits using simple sequence repeat (SSR) markers. A total of 73 QTL (37 significant and 36 suggestive) affecting plant architecture traits were detected in both populations. Four common QTL, qTFN-17 for total fruit nodes, qFBN-17 for fruit branch nodes, qFBL-17 for fruit branch length and qTFB-17a/qTFB-17b (qTFB-17) for total fruit branches, were found across the two populations. These common QTL should have high reliability and could be used for marker-assisted selection (MAS) to facilitate cotton plant architecture. The two common QTL, qTFN-17 and qFBL-17, were especially significant in both populations, and moreover, they explained >0·100 of the phenotypic variation in at least one population. These two QTL should be considered preferentially for MAS. The synergistic alleles and the negative alleles could be utilized in cotton plant architecture breeding programmes according to specific breeding objectives.

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