Induction of symptoms pre-harvest using the ‘passive method’: An easy way to predict bitter pit

dc.contributor.authorTorres Lezcano, Estanis
dc.contributor.authorRecasens Guinjuan, Inmaculada
dc.contributor.authorPeris Giner, Miquel
dc.contributor.authorAlegre Castellví, Simó
dc.date.accessioned2019-01-31T08:02:48Z
dc.date.available2019-01-31T08:02:48Z
dc.date.issued2015
dc.description.abstractAn effective method for predicting bitter pit incidence implemented before harvest could be a useful instrument for both the fruit industry and growers. Between 2009 and 2011, various methods for the prediction of bitter pit were evaluated at 60, 40, and 20 days before harvest (dbh) and at a commercial harvest in ‘Golden Smoothee’ apples. Four methodologies, two new ones (the development of natural bitter pit before harvest through the ‘passive method’ and bagging detached fruit before commercial ripening), and two of known efficacy under other conditions (infiltration with magnesium salts and maturity enhancement with ethephon dips) were assessed. To estimate the predictive accuracy of each method, bitter pit-like symptoms were related to the postharvest presence of bitter pit. The ‘passive method’ assesses bitter pit-like symptoms that appear naturally in fruit once they are picked from the tree, and left at room temperature during its evaluation. The ‘passive method’, as well as the infiltration with magnesium salts and ethephon dips, recognized bitter pit-like symptoms approximately 5–7 days after sampling (at 40 dbh) and showed significant correlation with the incidence of bitter pit after three months of cold storage. The ‘passive’ and ‘ethephon’ methods were also validated over two additional seasons in 30 and 16 different orchards, respectively. The results of these validations supported the efficacy of using the ‘passive method’ as the main method for predicting bitter pit, without having to use either reactive products or specialized equipment.ca_ES
dc.description.sponsorshipThis work was partially supported by the AECID Project A/021228/08 and by INIA Project RTA2009-00095. The authors are grateful to NUFRI and ACTEL, especially to Mr. JA Teixidor and Mr. Carlos Faro, and to their growers for providing the orchards.ca_ES
dc.identifier.doihttps://doi.org/10.1016/j.postharvbio.2014.11.002
dc.identifier.idgrec021883
dc.identifier.issn0925-5214
dc.identifier.urihttp://hdl.handle.net/10459.1/65682
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relation.isformatofVersió postprint del document publicat a https://doi.org/10.1016/j.postharvbio.2014.11.002ca_ES
dc.relation.ispartofPostharvest Biology and Technology, 2015, vol. 101, p. 66-72ca_ES
dc.rightscc-by-nc-nd (c) Elsevier, 2015ca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMalus domesticaca_ES
dc.subjectPrediction of disordersca_ES
dc.subjectCalcium disordersca_ES
dc.subjectPassive methodca_ES
dc.subjectEthephon dipsca_ES
dc.subjectMg infiltrationca_ES
dc.subjectBagging fruitca_ES
dc.titleInduction of symptoms pre-harvest using the ‘passive method’: An easy way to predict bitter pitca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.type.versioninfo:eu-repo/semantics/acceptedVersionca_ES
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