Document Detail

QTL detection for stover yield and quality traits using two connected populations in high-oil maize.
MedLine Citation:
PMID:  19541493     Owner:  NLM     Status:  In-Process    
Both yield and quality traits for stover portion were important for forage and biofuel production utility in maize. A high-oil maize inbred GY220 was crossed with two normal-oil dent maize inbred lines 8984 and 8622 to generate two connected F(2:3) populations with 284 and 265 F(2:3) families. Seven yield and quality traits were evaluated under two environments. The variance components of genotype (sigma(g)(2)), environment (sigma(e)(2)) and genotype x environment interactions (sigma(ge)(2)) were all significant for most traits in both populations. Different levels of correlations were observed for all traits. QTL mapping was conducted using composite interval mapping (CIM) for data under each environment and in combined analysis in both populations. Totally, 45 and 42 QTL were detected in the two populations. Only five common QTL across the two populations, and one and three common QTL across the two environments in the two populations were detected, reflecting substantial influence of genetic backgrounds and environments on the results of QTL detection for stover traits. Combined analysis across two environments failed to detect most QTL mapped using individual environmental data in both populations. Few of the detected QTL displayed digenic epistatic interactions. Common QTL among all traits were consistent with their correlations. Some QTL herein have been detected in previous researches, and linked with candidate genes for enzymes postulated to have direct and indirect roles in cell wall components biosynthesis.
Mengguan Wei; Xuehui Li; Junzhou Li; Jiafeng Fu; Yanzhao Wang; Yuling Li
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-06-13
Journal Detail:
Title:  Plant physiology and biochemistry : PPB / Société française de physiologie végétale     Volume:  47     ISSN:  1873-2690     ISO Abbreviation:  Plant Physiol. Biochem.     Publication Date:  2009 Oct 
Date Detail:
Created Date:  2009-08-11     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9882449     Medline TA:  Plant Physiol Biochem     Country:  France    
Other Details:
Languages:  eng     Pagination:  886-94     Citation Subset:  IM    
College of Agriculture, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, China.
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