Quantifying the colour loss of green field pea (Pisum sativum L.) due to bleaching

被引:5
作者
Mcdonald, Linda S. [1 ,2 ]
Salisbury, Phillip A. [2 ]
Ford, Rebecca [3 ]
Panozzo, Joseph F. [1 ]
机构
[1] Agr Victoria Res, Dept Jobs Precincts & Reg, Horsham, Vic, Australia
[2] Univ Melbourne, Fac Vet & Agr Sci, Parkville, Vic, Australia
[3] Griffith Univ, Sch Environm & Sci, Nathan, Qld, Australia
关键词
RESISTANCE; VISION; SEEDS; RGB;
D O I
10.1371/journal.pone.0221523
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Post-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.
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页数:12
相关论文
共 30 条
[1]  
Atak M, 2008, PAK J BOT, V40, P2345
[2]  
Brand J, 2015, PULSES MALLEE
[3]  
CGC CGC, 2018, OFF GRAIN GRAD GUID
[4]  
Cheng M, 2004, J FOOD SCI, V69, pC511, DOI 10.1111/j.1365-2621.2004.tb13644.x
[5]  
Christiansen A.N., 2012, J SPECTR IMAGING, DOI DOI 10.1255/JSI.2012.A1
[6]   Changes in external and internal color during postharvest ripening of 'Manila' and 'Ataulfo' mango fruit and relationship with carotenoid content determined by liquid chromatography-APcI+-time-of-flight mass spectrometry [J].
de Jesus Ornelas-Paz, Jose ;
Yahia, Elhadi M. ;
Gardea, Alfonso A. .
POSTHARVEST BIOLOGY AND TECHNOLOGY, 2008, 50 (2-3) :145-152
[7]   Red-Green-Blue (RGB) colour density as a non-destructive marker in sorting deteriorated lentil (Lens culinaris Medik.) seeds [J].
Dell'Aquila, A. .
SEED SCIENCE AND TECHNOLOGY, 2006, 34 (03) :609-619
[8]  
French RJ, 2016, REFERENCE MODULE FOO
[9]   Grading and color evolution of apples using RGB and hyperspectral imaging vision cameras [J].
Garrido-Novell, Cristobal ;
Perez-Marin, Dolores ;
Amigo, Jose M. ;
Fernandez-Novales, Juan ;
Guerrero, Jose E. ;
Garrido-Varo, Ana .
JOURNAL OF FOOD ENGINEERING, 2012, 113 (02) :281-288
[10]  
GTA GTA, 2018, AUSTR PULS STAND 201