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dc.contributor.authorMcdonald, Linda S
dc.contributor.authorSalisbury, Phillip A
dc.contributor.authorFord, Rebecca
dc.contributor.authorPanozzo, Joseph F
dc.date.accessioned2019-08-29T02:45:54Z
dc.date.available2019-08-29T02:45:54Z
dc.date.issued2019
dc.identifier.issn1932-6203
dc.identifier.doi10.1371/journal.pone.0221523
dc.identifier.urihttp://hdl.handle.net/10072/386771
dc.description.abstractPost-harvest change in the colour of green field pea (Pisum sativum L.) is undesirable as this impacts the visual quality and market value of the seed. To date, there is no standard, objective method to determine bleaching. Therefore, the aim of this study was to develop an objective method for scoring bleaching based on colour reflectance spectra, measured both by spectrophotometer and multispectral Image Analysis (IA). Green field pea seeds were sorted into samples of uniform colour and these were used to train the model. Spectra calculated from multispectral images (with colour bands at 405,470,530,590,660 and 850nm) were matched to the spectrophotometer output through multiple linear regression. All spectra were transformed to emphasize the wavelength regions most impacted during bleaching, following which two critical reflectance values were scaled to a single bleaching score. The bleaching assessment method was tested in a time-course experiment comprising seeds from five green-pea genotypes stored for six months. Each sample was divided into two so that half of the seeds were stored in the dark and the remainder were exposed to controlled light to exaggerate bleaching. Throughout this period, the samples were imaged at six-weekly intervals. Assessment of bleaching by the IA method agreed well with spectrophotometer measurements, achieving a Lin’s concordance statistic of 0.99 and 0.96 for the calibration and time-course samples respectively. The IA method proved more versatile because assessments could be made on individual seeds enabling the computation of bleaching uniformity within each sample. This method captured differences between genotypes in the extent, rate and uniformity of bleaching. All genotypes exhibited susceptibility to bleaching when stored under the controlled light conditions. Excell was observed to be the most susceptible genotype with the greatest bleaching-rate and OZB1308 displayed the most colour-stability.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherPublic Library of Science (PLoS)
dc.relation.ispartofpagefrome0221523
dc.relation.ispartofissue8
dc.relation.ispartofjournalPLoS One
dc.relation.ispartofvolume14
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode09
dc.titleQuantifying the colour loss of green field pea (Pisum sativum L.) due to bleaching
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationMcDonald, LS; Salisbury, PA; Ford, R; Panozzo, JF, Quantifying the colour loss of green field pea (Pisum sativum L.) due to bleaching., PLoS One, 2019, 14 (8), pp. e0221523-
dcterms.dateAccepted2019-08-08
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2019-08-29T01:51:12Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2019 McDonald et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
gro.hasfulltextFull Text
gro.griffith.authorFord, Rebecca


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