QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments

Publication Overview
TitleQTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments
AuthorsWang H, Huang C, Guo H, Li X, Zhao W, Dai B, Yan Z, Lin Z
TypeJournal Article
Journal NamePloS one
Volume10
Issue6
Year2015
Page(s)e0130742
CitationWang H, Huang C, Guo H, Li X, Zhao W, Dai B, Yan Z, Lin Z. QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments. PloS one. 2015; 10(6):e0130742.

Abstract

A population of 178 recombinant inbred lines (RILs) was developed using a single seed descendant from a cross between G. hirsutum. acc DH962 and G. hirsutum. cv Jimian5, was used to construct a genetic map and to map QTL for fiber and yield traits. A total of 644 polymorphic loci were used to construct a final genetic map, containing 616 loci and spanning 2016.44 cM, with an average of 3.27 cM between adjacent markers. Statistical analysis revealed that segregation distortion in the intraspecific population was more serious than that in the interspecific population. The RIL population and the two parents were phenotyped under 8 environments (two locations, six years), revealing a total of 134 QTL, including 64 for fiber qualities and 70 for yield components, independently detected in seven environments, explaining 4.40-15.28% of phenotypic variation (PV). Among the 134 QTL, 9 common QTL were detected in more than one environment, and 22 QTL and 19 new QTL were detected in combined analysis (E9). A total of 26 QTL hotspot regions were observed on 13 chromosomes and 2 larger linkage groups, and some QTL clusters related to fiber qualities or yield components were also observed. The results obtained in the present study suggested that to map accurate QTL in crops with larger plant types, such as cotton, phenotyping under multiple environments is necessary to effectively apply the obtained results in molecular marker-assisted selection breeding and QTL cloning.

Features
This publication contains information about 218 features:
Feature NameUniquenameType
micronaireqMIC.DJiM-RIL_ch08.hj08-13.3QTL
micronaireqMIC.DJiM-RIL_ch08.hj08-13.4QTL
micronaireqMIC.DJiM-RIL_ch08.hj08-13.5QTL
micronaireqMIC.DJiM-RIL_ch13-2.j09QTL
micronaireqMIC.DJiM-RIL_ch15.h08QTL
micronaireqMIC.DJiM-RIL_ch15.j09QTL
micronaireqMIC.DJiM-RIL_ch17-1.h13QTL
micronaireqMIC.DJiM-RIL_ch21-1.h08QTL
micronaireqMIC.DJiM-RIL_ch24-2.h08QTL
micronaireqMIC.DJiM-RIL_ch24-2.h11QTL
micronaireqMIC.DJiM-RIL_ch24-2.hj08-13QTL
micronaireqMIC.DJiM-RIL_ch25-3.h08QTL
micronaireqMIC.DJiM-RIL_ch25-3.h13QTL
micronaireqMIC.DJiM-RIL_ch25-3.hj08-13QTL
micronaireqMIC.DJiM-RIL_ch25-3.j11QTL
seed indexqSI.DJiM-RIL_ch01.j11QTL
seed indexqSI.DJiM-RIL_ch15.j11QTL
seed indexqSI.DJiM-RIL_ch24-2.j11QTL

Pages

Projects
This publication contains information about 1 projects:
Project NameDescription
DJiM-RIL-2015
Featuremaps
This publication contains information about 1 maps:
Map Name
DH962 x Ji Mian 5, RIL (2015)
Properties
Additional details for this publication include:
Property NameValue
Publication ModelElectronic-eCollection
ISSN1932-6203
eISSN1932-6203
Publication Date2015
Journal AbbreviationPLoS ONE
Elocation10.1371/journal.pone.0130742
LanguageEnglish
Language AbbrENG
Publication TypeJournal Article