dc.contributor.author | Torres, Estanis | |
dc.contributor.author | Recasens, Inmaculada | |
dc.contributor.author | Alegre, Simó | |
dc.contributor.other | Producció Vegetal | ca |
dc.date.accessioned | 2022-01-25T12:30:02Z | |
dc.date.available | 2022-01-25T12:30:02Z | |
dc.date.issued | 2021-04-16 | |
dc.identifier.citation | Torres, Estanis, Inmaculada Recasens, and Simó Alegre. 2021. "Potential Of VIS/NIR Spectroscopy To Detect And Predict Bitter Pit In ‘Golden Smoothee’ Apples". Spanish Journal Of Agricultural Research 19 (1): e1001. doi:10.5424/sjar/2021191-15656. | ca |
dc.identifier.issn | 1695-971X | ca |
dc.identifier.uri | http://hdl.handle.net/20.500.12327/1556 | |
dc.description.abstract | Aim of study: A portable VIS/NIR spectrometer and chemometric techniques were combined to identify bitter pit (BP) in Golden apples. Area of study: Worldwide Material and methods: Three different classification algorithms – linear discriminant analysis (LDA), quadratic discriminant analysis (QDA) and support-vector machine (SVM) –were used in two experiments. In experiment #1, VIS/NIR measurements were carried out at postharvest on apples previously classified according to 3 classes (class 1: non-BP; class 2: slight symptoms; class 3: severe symptoms). In experiment #2, VIS/NIR measurements were carried out on healthy apples collected before harvest to determinate the capacity of the classification algorithms for detecting BP prior to the appearance of symptoms. Main results: In the experiement #1, VIS/NIR spectroscopy showed great potential in pitted apples detection with visibly symptoms (accuracies of 75–81%). The linear classifier LDA performed better than the ultivariate non-linear QDA and SVM classifiers in discriminating between healthy and bitter pitted apples. In the experiment #2, the accuracy to predict bitter pit prior to the appearance of visible symptoms decreased to 44–57%. Research highlights: The identification of apples with bitter pit through VIS/NIR spectroscopy may be due to chlorophyll degradation and/or changes in intercellular water in fruit tissue. | ca |
dc.format.extent | 9 | ca |
dc.language.iso | eng | ca |
dc.publisher | Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) | ca |
dc.relation.ispartof | Spanish Journal of Agricultural Research | ca |
dc.rights | Attribution 4.0 International | ca |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Potential of VIS/NIR spectroscopy to detect and predict bitter pit in ‘Golden Smoothee’ apples | ca |
dc.type | info:eu-repo/semantics/article | ca |
dc.description.version | info:eu-repo/semantics/publishedVersion | ca |
dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
dc.embargo.terms | cap | ca |
dc.subject.udc | 632 | ca |
dc.identifier.doi | https://doi.org/10.5424/sjar/2021191-15656 | ca |
dc.contributor.group | Fructicultura | ca |