TITLE

Genetic effects of introgression genomic components from Sea Island cotton ( Gossypium barbadense L.) on fiber related traits in upland cotton ( G. hirsutum L.)

AUTHOR(S)
Furong Wang; Yongchao Gong; Chuanyun Zhang; Guodong Liu; Liuming Wang; Zhenzhen Xu; Jun Zhang
PUB. DATE
September 2011
SOURCE
Euphytica;Sep2011, Vol. 181 Issue 1, p41
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The germplasm with exotic genomic components especially from Sea Island cotton ( Gossypium barbadense L. Gb) is the dominant genetic resources to enhance fiber quality of upland cotton ( G. hirsutum L., Gh). Due to low efficiency of phenotypic evaluation and selection on fiber quality, genetic dissection of favorable alleles using molecular markers is essential. Genetic dissection on putative Gb introgressions related to fiber traits were conducted by SSR markers with mapping populations derived from a cross between Luyuan343 (LY343), a superior fiber quality introgression line (IL) with genomic components from Gb, and an elite Upland cotton cv. Lumianyan#22 (LMY22). Among 82 polymorphic loci screened out from 4050 SSRs, 42 were identified as putative introgression alleles. A total of 29 fiber-related QTLs (23 for fiber quality and six for lint percentage) were detected and most of which clustered on the putative Gb introgression chromosomal segments of Chr.2, Chr.16, Chr.23 and Chr.25. As expected, a majority of favorable alleles of fiber quality QTLs (12/17, not considering the QTLs for fiber fineness) came from the IL parent and most of which (11/12) were conferred by the introgression genomic components while three of the six (3/6) favorable alleles for lint percentage came from the Gh parent. Validation of these QTLs using an F breeding population from the same cross made previously indicated that 13 out of 29 QTLs showed considerable stability. The results suggest that fiber quality improvement using the introgression components could be facilitated by marker-assisted selection in cotton breeding program.
ACCESSION #
63899063

 

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