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dc.contributor.authorDíaz Pérez, Manuel
dc.contributor.authorCarreño Ortega, Ángel
dc.contributor.authorSalinas Andújar, José Antonio
dc.contributor.authorCallejón Ferre, Ángel Jesús
dc.date.accessioned2020-01-20T07:56:33Z
dc.date.available2020-01-20T07:56:33Z
dc.date.issued2019-01-03
dc.identifier.issn2073-4395
dc.identifier.urihttp://hdl.handle.net/10835/7590
dc.description.abstractThe aim of this study is to establish a binary logistic regression method to evaluate and select cucumber cultivars (Cucumis sativus L.) with a longer postharvest shelf life. Each sample was evaluated for commercial quality (fruit aging, weight loss, wilting, yellowing, chilling injury, and rotting) every 7 days of storage. Simple and multiple binary logistic regression models were applied in which the dependent variable was the probability of marketability and the independent variables were the days of storage, cultivars, fruit weight loss, and months of evaluation. The results showed that cucumber cultivars with a longer shelf life can be selected by a simple and multiple binary logistic regression analysis. Storage time was the main determinant of fruit marketability. Fruit weight loss strongly influenced the probability of marketability. The logistic model allowed us to determine the cucumber weight loss percentage over which a fruit would be rejected in the market.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectcucumberes_ES
dc.subjectcultivares_ES
dc.subjectqualityes_ES
dc.subjectdays of storagees_ES
dc.subjectlogistic regressiones_ES
dc.subjectprobability of marketabilityes_ES
dc.titleApplication of Logistic Regression Models for the Marketability of Cucumber Cultivarses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.mdpi.com/2073-4395/9/1/17es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional