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Pàgina inicial > Articles > Articles publicats > Exploring sources of resistance to brown rot in an interspecific almond × peach population |
Data: | 2019 |
Resum: | Background: Monilinia spp. are responsible for brown rot, one of the most significant stone fruit diseases. Planting resistant cultivars seems a promising alternative, although most commercial cultivars are susceptible to brown rot. The aim of this study was to explore resistance to Monilinia fructicola over two seasons in a backcross one interspecific population between almond 'Texas' and peach 'Earlygold' (named T1E). - Results: 'Texas' almond was resistant to brown rot inoculation, whereas peach was highly susceptible. Phenotypic data from the T1E population indicated wide differences in response to M. fructicola. Additionally, several non-wounded individuals exhibited resistance to brown rot. Quantitative trait loci (QTLs) were identified in several linkage groups, but only two proximal QTLs in G4 were detected over both seasons and accounted for 11. 3-16. 2% of the phenotypic variation. - Conclusion: analysis of the progeny allowed the identification of resistant genotypes that could serve as a source of resistance in peach breeding programs. The finding of loci associated with brown rot resistance would shed light on implementing a strategy based on marker-assisted selection (MAS) for introgression of this trait into elite peach materials. New peach cultivars resistant to brown rot may contribute to the implementation of more sustainable crop protection strategies. |
Ajuts: | Ministerio de Economía y Competitividad MINECO/SEV-2015-0533 Ministerio de Economía y Competitividad RTA2015-00050-00-00 Ministerio de Economía y Competitividad AGL2014-55287-C02-02-R Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/FI_B1_00153 |
Drets: | Tots els drets reservats. |
Llengua: | Anglès |
Document: | Article ; recerca ; Versió acceptada per publicar |
Matèria: | Monilinia fructicola ; Disease resistance ; Prunus persica ; Prunus dulcis ; Phenotyping ; QTL analysis |
Publicat a: | Journal of the Science of Food and Agriculture, Vol. 99, issue 8 (June 2019) , p. 4105-4113, ISSN 1097-0010 |
Postprint 29 p, 1.3 MB |