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A comparison of sweet cherry chilling requirements estimated using statistical and biological approaches

hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorWENDEN, Bénédicte
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorQUERO-GARCIA, José
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorDIRLEWANGER, Elisabeth
hal.structure.identifierDepartment of Primary Industries
dc.contributor.authorDARBYSHIRE, R.
dc.date.issued2018
dc.date.conference2018
dc.identifier.isbn978-94-62612-26-6
dc.description.abstractEnMany key phenological stages of temperate fruit trees are highly dependent on environmental conditions. This includes the timing of dormancy release and flowering which are essential to ensure good fruit production and quality. Global changes in environmental conditions including warmer winters and higher risks of frosts in the early spring, may lead to a wide range of problems, including poor flowering, fruit set and cross-pollination, and novel host-pest interaction. In the context of climate change, one challenge for researchers is to better understand possible impacts on flowering and subsequently to breed fruit trees adapted to future climatic conditions. Predictive models for flowering phenology provide a valuable tool to assist in this process. Here we assessed two methods to determine the chilling requirement, a key parameter to develop a predictive phenology model. Following the collection of sweet cherry flowering data recorded across Europe, we present an exploration of the chill overlap model for the reference 'Burlat'. The model was tested and optimised for a wide range of potential chilling requirement values. The best fit was obtained for a critical chilling requirement of 49 chill portions. Using forcing experiments, the chilling requirement was found to vary between the two experimental years (40 and 76 chill portions) and did not correspond to the statistically determined chilling requirement. These results highlight that further investigation is needed for both phenological models and experimental analyses of dormancy and flowering in order to develop more robust models based on biologically-sound parameters
dc.language.isoen
dc.publisherInternational Society for Horticultural Science (ISHS)
dc.source.titleActa Horticulturae
dc.subjectphenology
dc.subject.enPrunus avium L.
dc.subject.endormancy
dc.subject.enmodelling
dc.title.enA comparison of sweet cherry chilling requirements estimated using statistical and biological approaches
dc.typeCommunication dans un congrès
dc.identifier.doi10.17660/ActaHortic.2018.1229.27
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
dc.subject.halSciences de l'environnement/Milieux et Changements globaux
bordeaux.volume1229
bordeaux.countryIT
bordeaux.title.proceedingActa Horticulturae
bordeaux.conference.cityPalerme
bordeaux.peerReviewedoui
hal.identifierhal-02735478
hal.version1
hal.invitednon
hal.conference.organizerInternational Society for Horticultural Science (ISHS). INT.
hal.conference.end2018
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02735478v1
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