English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/99209
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


QTL mapping for maize resistance and yield under infestation with Sesamia nonagrioides

AuthorsSamayoa López, Luis Fernando ; Butrón Gómez, Ana María ; Malvar Pintos, Rosa Ana
KeywordsQuantitative trait loci
Insect resistance
Insect tolerance
Yield under infestation
Molecular markers
Corn borer
Sesamia nonagrioides
Marker assisted selection
Cross validation
Issue DateJun-2014
CitationMolecular Breeding 34:1331–1344 (2014)
AbstractThe Mediterranean corn borer (MCB) is the most important maize insect pest in the Mediterranean region. The main objective was to map quantitative trait loci (QTL) for yield performance under infestation with MCB, resistance and agronomic traits in a maize RIL population derived from an inbred cross European flint × Reid. Six QTL for resistance traits were located: one QTL for tunnel length (bin 9.03; p = 19.8 %), one QTL for stalk lodging (bin 3.07, p = 11.5 %), and four QTL for ear resistance (bins 1.07, 5.03/5.05, and 8.04; p = 25–63 %). Twelve QTL for agronomic traits were located: a QTL for yield under infestation (bin 5.03, p = 15 %); two QTL for grain moisture (bins 1.07 and 8.05); two QTL for days to anthesis (bin 1.07 and 8.05); two QTL for days to silking (bins 8.04 and 10.02); three QTL for plant height (bins 5.04, 8.05 and 9.03); and two QTL for ear height (bins 8.05 and 9.03). No genetic correlations between yield and other traits were observed. The cross validation (CV) approach showed that the estimation biases for QTL for resistance traits were higher than those for agronomic traits. This work stresses the importance of the region 9.03 for controlling corn borer resistance and suggests the presence of QTL with small effect on ear-resistance traits. At the same genomic region, there are also genes that control plant and ear height and future works could elucidate whether these genes are the same or are closely linked. The QTL for yield seem to play an important role in MCB tolerance in this genetic background. Large biases observed for QTL effects by CV were mainly due to the small sample size used and were higher for resistance traits due to their larger genetic complexity. We consider that it is more appropriate to select for grain yield under infestation instead of selecting for resistance traits because resistance to MCB could have unfavorable associations with agronomic traits. ©2014 Springer Science+Business Media Dordrecht
Publisher version (URL)http://dx.doi.org/10.1007/s11032-014-0119-y
Appears in Collections:(MBG) Artículos
Files in This Item:
File Description SizeFormat 
Samayoa_QTL_mapping...pdf283,19 kBAdobe PDFThumbnail
Files_QTL_mapping_for_maize_resistance.pdf327,46 kBAdobe PDFThumbnail
Show full item record
Review this work

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.