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Modelling The Biological Variance Of The Yellow Aspect Of Granny Smith Apple Colour.

L.M.M. Tijskens, R. Schouten, P. Konopacki, Janez Hribar, M. Simčič
Published 2010 · Mathematics, Medicine

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BACKGROUND The yellow aspect of colour is usually not considered for produce with a green-to-red or a green-to-yellow transition upon ripening. The magnitude of change is simply too small and, additionally, masked by a large variation. The colour of 'Granny Smith' apples, harvested from three orchards at two stages of maturity, was measured individually using the CIE L*a*b* system during storage in a regular atmosphere at three temperatures: 1, 4 and 10 degrees C. A model was developed based on a simplified mechanism, consisting of two consecutive reactions, to describe the development of the apple colour expressed as b* and L* values during storage. RESULTS Monitoring individual apples made it possible to include and describe the biological variance of colour in batches of apples and to extract information on chilling injury, as a process active at 1 degrees C. All variations could be attributed to a single source related to the amount of yellowing compounds at the moment of harvest, indicating differences in state of maturity between individual apples. The obtained explained part (R(2) (adj)), using nonlinear mixed effects regression analysis was well over 90% for all data combined over more than 3000 observations. CONCLUSION Orchard location had a slight effect on the mean initial colour value, indicating differences in development stage, most probably due to differences in assessing the harvest date. The magnitude of the variation in these colour values was, however, the same for all three orchards. The behaviour of the green colour aspect (a* value) has been reported separately, as this represents the major change in perceived colour. The changes in b* and L* values are rather small, while the biological variation between the individual fruit is at least of the same magnitude. The model presented here is, as far as known, the first model on b* and L* values for green-coloured products. Analysing b* and L* data using this model provides additional information with respect to the stage of maturity at harvest in a batch or for an orchard of Granny Smith apples. All the variation in the yellow colour aspects could be attributed exclusively to the initial level of yellow compounds.
This paper references
Modelling colour aspects RGB and translucency of fresh cut tomatoes
MM Lana (2006)
10.1016/J.JFOODENG.2007.05.026
Mathematical modelling of the kinetic of quality deterioration of intermediate moisture content banana during storage
Zhengyong Yan (2008)
10.1016/S1466-8564(01)00045-5
Modelling the change in colour of broccoli and green beans during blanching
L. Tijskens (2001)
10.1016/J.POSTHARVBIO.2008.05.008
Biological variance in the colour of Granny Smith apples: Modelling the effect of senescence and chilling injury
L. Tijskens (2008)
10.1016/J.POSTHARVBIO.2004.05.014
The impact of biological variation on postharvest behaviour of tomato fruit
M. Hertog (2004)
10.1006/FSTL.2001.0875
Color and Texture Change Kinetics in Ripening Bananas
C. Chen (2002)
10.21273/JASHS.123.2.305
Temperature Affects Postharvest Color Change of Apples
J. Dixon (1998)
10.1016/J.JFOODENG.2005.08.015
Effects of storage temperature and stage of ripening on RGB colour aspects of fresh-cut tomato pericarp using video image analysis
M. M. Lana (2006)
10.1016/J.POSTHARVBIO.2006.10.007
Changes in colour and texture and their relationship with eating quality during storage of two different dessert bananas
A. Salvador (2007)
10.1111/J.1365-2621.1988.TB09293.X
Prediction of Changes in Color of Tomatoes during Ripening at Different Constant Temperatures
R. Shewfelt (1988)
10.1016/J.POSTHARVBIO.2008.11.008
Detecting chilling injury in Red Delicious apple using hyperspectral imaging and neural networks
G. ElMasry (2009)
10.1016/J.POSTHARVBIO.2005.12.016
Modelling RGB colour aspects and translucency of fresh-cut tomatoes
M. M. Lana (2006)
10.1007/BF00714459
Photosystem II quantum yield as a measure of radical scavengers in chilling injury in cucumber fruits and bell peppers
L. Tijskens (2004)
10.1016/S1466-8564(01)00048-0
Modelling the effect of pH on the colour degradation of blanched broccoli
L. Tijskens (2001)
Development Core Team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0
(2005)
Modelling colour aspects RGB and translucency of fresh cut tomatoes
MM Lana (2006)
10.1016/0924-2244(96)81352-5
Chlorophyll degradation in processed foods and senescent plant tissues
James W. Heaton (1996)
10.1146/annurev.arplant.50.1.67
CHLOROPHYLL DEGRADATION.
P. Matile (1999)
10.1016/0925-5214(94)90010-8
Modelling colour of tomatoes during postharvest storage
L. Tijskens (1994)
10.1590/S0102-05362004000300006
Comparison of color indexes for tomato ripening
A. Camelo (2004)
10.1016/J.POSTHARVBIO.2007.09.004
Biochemical bases of appearance and texture changes in fresh-cut fruit and vegetables
P. Toivonen (2008)
10.1016/J.POSTHARVBIO.2008.06.005
Development of colour of broccoli heads as affected by controlled atmosphere storage and temperature
R. Schouten (2009)
10.1016/S0925-5214(02)00017-0
Predicting keeping quality of batches of cucumber fruit based on a physiological mechanism
R. Schouten (2002)
10.13031/2013.31374
TOMATO COLOR CHANGES UNDER CONSTANT AND VARIABLE STORAGE TEMPERATURES: EMPIRICAL MODELS
C. Thai (1990)



This paper is referenced by
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I. Bulens (2012)
10.1515/pjfns-2016-0007
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M. Kadivec (2016)
10.17660/ACTAHORTIC.2015.1091.1
Taste and appearance in the supply chain, where to start? spatial distribution of colour, sugars and acids in growing apples
N. Sadar (2015)
10.1177/1082013211414774
Preventing the wound-induced deterioration of Yali pears by chitosan coating treatments
J. Li (2012)
10.1016/J.JFOODENG.2014.04.006
Modeling phenolic content during storage of cut fruit and vegetables: A consecutive reaction mechanism
M. Amodio (2014)
10.1016/B978-0-12-408137-6.00015-6
Modeling Quality Attributes and Quality Related Product Properties
L. Tijskens (2014)
10.1002/jsfa.5651
Effect of location in the canopy on the colour development of three apple cultivars during growth.
T. Unuk (2012)
10.1016/J.JFOODENG.2017.05.015
Application of 3D printing for customized food. A case on the development of a fruit-based snack for children
A. Derossi (2018)
10.1016/J.SCIENTA.2016.07.014
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E. Dorey (2016)
10.3844/AJABSSP.2013.191.198
PREDICTION OF DAYS AFTER ANTHESIS OF DEVELOPING TOMATO ( SOLANUM LYCOPERSICUM ) FRUIT FROM BLOSSOM-END CHANGES IN COLOR
Tiznado-Hernández Martín Ernesto (2013)
Surface color based prediction of oil content in oil palm (Elaeis guineensis Jacq.) fresh fruit bunch
K. Sunilkumar (2013)
10.1002/jsfa.8244
A mechanistic modelling approach to understand 1-MCP inhibition of ethylene action and quality changes during ripening of apples.
Sunny George Gwanpua (2017)
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