Genetic mapping and QTL analysis of Botrytis resistance in Gerbera hybrida View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-02

AUTHORS

Yiqian Fu, Alex van Silfhout, Arwa Shahin, Ronny Egberts, Martin Beers, Ans van der Velde, Adrie van Houten, Jaap M. van Tuyl, Richard G. F. Visser, Paul Arens

ABSTRACT

Gerbera hybrida is an economically important cut flower. In the production and transportation of gerbera with unavoidable periods of high relative humidity, grey mould occurs and results in losses in quality and quantity of flowers. Considering the limitations of chemical use in greenhouses and the impossibility to use these chemicals in auction or after sale, breeding for resistant gerbera cultivars is considered as the best practical approach. In this study, we developed two segregating F1 populations (called S and F). Four parental linkage maps were constructed using common and parental specific SNP markers developed from expressed sequence tag sequencing. Parental genetic maps, containing 30, 29, 27 and 28 linkage groups and a consensus map covering 24 of the 25 expected chromosomes, could be constructed. After evaluation of Botrytis disease severity using three different tests, whole inflorescence, bottom (of disc florets) and ray floret, quantitative trait locus (QTL) mapping was performed using the four individual parental maps. A total of 20 QTLs (including one identical QTL for whole inflorescence and bottom tests) were identified in the parental maps of the two populations. The number of QTLs found and the explained variance of most QTLs detected reflect the complex mechanism of Botrytis disease response. More... »

PAGES

13

References to SciGraph publications

Journal

TITLE

Molecular Breeding

ISSUE

2

VOLUME

37

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11032-016-0617-1

DOI

http://dx.doi.org/10.1007/s11032-016-0617-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083423971

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28216997


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