Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/74406
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dc.contributor.authorPimjai Seehanamen_US
dc.contributor.authorPatomporn Chaiyaen_US
dc.contributor.authorParichat Theanjumpolen_US
dc.contributor.authorChantalak Tiyayonen_US
dc.contributor.authorOnuma Ruangwongen_US
dc.contributor.authorTanachai Pankasemsuken_US
dc.contributor.authorKazuhiro Nakanoen_US
dc.contributor.authorShintaroh Ohashien_US
dc.contributor.authorPhonkrit Maniwaraen_US
dc.date.accessioned2022-10-16T06:41:48Z-
dc.date.available2022-10-16T06:41:48Z-
dc.date.issued2022-01-01en_US
dc.identifier.issn22113460en_US
dc.identifier.issn22113452en_US
dc.identifier.other2-s2.0-85135298293en_US
dc.identifier.other10.1007/s13580-022-00435-5en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85135298293&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/74406-
dc.description.abstractInternal disorders are a major problem for mango growers and exporters. Internal breakdown (IBD) and black-streaked vascular tissue (BSV) are the most common symptoms found in fruit cultivated in tropical regions, especially in Thailand, where mango is considered the most important agriculture export commodity. The disorders cannot be detected by visual inspection; thus, consumers encounter these unpleasant defects when cutting into the fruit. The present study aimed to detect these internal disorders using the non-invasive technique of near infrared spectroscopy (NIRS). A total of 64 ‘Namdokmai Sithong’ mangoes were harvested at 120 days after flowering (DAF) and manually meshed with a scale of 1.5 × 1.5 cm2 on both cheeks (totaling 1112 usable areas: intact (792), IBD (230), and BSV (90)). Spectral data were measured between 4000 and 12,500 cm− 1 for every meshed area via interactance measurement to capture intact and defective flesh. Classification models were thereafter developed using linear discriminant analysis (LDA) and an artificial neural network (ANN). IBD flesh had lower NIR absorbance than BSV and intact flesh. The LDA model discriminated intact flesh from defective flesh with a prediction accuracy of 86.25%. However, it was unable to separate IBD from intact flesh. In the case of non-linear analysis, the ANN reached a classification accuracy of 91.37%, whereby the misclassified matrix showed that intact, IBD and BSV flesh were well discriminated from each other, especially for BSV flesh. In summary, NIRS could be used to detect internal disorders in mango.en_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.titleInternal disorder evaluation of ‘Namdokmai Sithong’ mango by near infrared spectroscopyen_US
dc.typeJournalen_US
article.title.sourcetitleHorticulture Environment and Biotechnologyen_US
article.stream.affiliationsNiigata Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
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