The impact of biological variation on postharvest behaviour of Belgian endive: The case of multiple stochastic variables

Postharvest Biology and Technology

Volumn 43, Issue 1, 2007, Pages 78-88

  Hertog, Maarten L A T M ^a   Scheerlinck, Nico ^a   Lammertyn, Jeroen ^a   Nicolaï, Bart M ^a,b  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b Flanders Centre of Postharvest Technology   (Belgium)

Author keywords

Batch behaviour; Belgian endive; Biological variation; Chicory; Modelling; Multivariate distribution; Probability; Stochastic kinetic model; Witloof

Indexed keywords

CICHORIUM INTYBUS;

EID: 33846337833     PISSN: 09255214     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.postharvbio.2006.07.007     Document Type: Article

References (24)

1. Arrhenius S. Über die Reaktionsgeschwindigkeit bei der Inversion von Rohzucker durch Säuren. Z. Phys. Chem. 4 (1889) 226-248
2. D'Agostino R.B., and Stephens M.A. Goodness-of-fit Techniques (Statistics: Textbooks and Monographs Series) vol. 68 (1986), Marcel Dekker Inc., NY p. 576
3. De Ketelaere B., Lammertyn J., Molenberghs G., Desmet M., Nicolaï B., and De Baerdemaeker J. Tomato cultivar grouping based on firmness change, shelf-life and variability during postharvest storage. Postharvest Biol. Technol. 34 (2004) 187-201
4. De Ketelaere B., Stulens J., Lammertyn J., and De Baerdemaeker J. Identification and quantification of sources of biological variance: a methodological approach. Acta Hortic. 674 (2005) 523-529
5. Hertog M.L.A.T.M. The impact of biological variation on postharvest population dynamics. Postharvest Biol. Technol. 26 (2002) 253-263
6. Hertog, M.L.A.T.M., 2004. Biological variation, Chapter 4 in: Quality change modelling in postharvest biology and technology, Ph.D. thesis, No. 633, K.U. Leuven, Belgium, p. 196. (retrieved December, 2005).
7. Hertog M.L.A.T.M., Peppelenbos H.W., Evelo R.G., and Tijskens L.M.M. A dynamic and generic model of gas exchange of respiring produce: the effects of oxygen, carbon dioxide and temperature. Postharvest Biol. Technol. 14 (1998) 335-349
8. Hertog M.L.A.T.M., Lammertyn J., Desmet M., Scheerlinck N., and Nicolaï B.M. The impact of biological variation on postharvest behaviour of tomato fruit. Postharvest Biol. Technol. 34 (2004) 271-284
9. Lammertyn J., De Ketelaere B., Marquenie D., Molenberghs G., and Nicolaï B.M. Mixed models for multicategorical repeated response: modelling the time effect of physical treatments on strawberry sepal quality. Postharvest Biol. Technol. 30 (2003) 195-207
10. Melsa, J.L., Sage, A.P., 1973. An introduction to probability and stochastic processes. Prentice-Hall information and system sciences series, T. Kailath (Ed.), Prentice-Hall, Inc., Englewood Cliffs, New Jersey, p. 403.
11. Myung I.J. Tutorial on maximum likelihood estimation. J. Math. Psychol. 47 (2003) 90-100
12. Nicolaï B.M., Scheerlinck N., and Hertog M.L.A.T.M. Probabilistic modelling of food processes. In: Sablani S.S., Datta A.K., Rahman M.S., and Mujumdar A.S. (Eds). Handbook of Food and Bioprocess Modeling Techniques (2006), CRC press, Boca Raton, FL 600
13. Scheerlinck N., Peirs A., Desmet M., Schenk A., and Nicolaï B.M. Modelling fruit characteristics during apple maturation: a stochastic approach. Math. Comput. Model. Dynam. 10 (2004) 149-168
14. Schouten R.E., Otma E.C., Van Kooten O., and Tijskens L.M.M. Keeping quality of cucumber fruits predicted by biological age. Postharvest Biol. Technol. 12 (1997) 175-181
15. Schouten R.E., Tijskens L.M.M., and Van Kooten O. Predicting keeping quality of batches of cucumber fruits based on a physiological mechanism. Postharvest Biol. Technol. 26 (2002) 209-220
16. Schouten R.E., Jongbloed G., Tijskens L.M.M., and Van Kooten O. Batch variability and cultivar keeping quality of cucumber. Postharvest Biol. Technol. 32 (2004) 299-310
17. Schraudolph, N.N., 1998. A Matlab/Octave Implementation of Lambert's W Function. Included in the GNU octave repository (octave-forge). (retrieved December, 2005).
18. Tijskens L.M.M., and Wilkinson E.C. Behaviour of biological variability in batches during postharvest storage. Asp. Appl. Biol. 46 (1996) 267-268
19. Tijskens L.M.M., Hertog M.L.A.T.M., van Kooten O., and Simčič M. Advantages of non-destructive measurements for understanding biological variance and for modelling of the quality of perishable products. Proceedings of the 34th Conference on Vortragstagung der DGQ: Zurstörungsfreie Qualitätsanalyse. Freising Weihenstephan, 22-23 March (1999) 13-24
20. Tijskens L.M.M., Konopacki P., Simčič M., and Hribar J. Biological variance in agricultural products. Colour of apples as an example. In: Artés F., Gil M.I., and Conesa M.A. (Eds). Proceedings of the Refrigeration Science and Technology, Improving Postharvest Technologies of Fruits, Vegetables and Ornamentals. IIR Conference, Murcia, Spain, 19-21 October (2000) 25-41
21. Tijskens L.M.M., Konopacki P., and Simčič M. Biological variance, burden or benefit?. Postharvest Biol. Technol. 27 (2003) 15-25
22. Tijskens L.M.M., Heuvelink E., Schouten R.E., Lana M.M., and van Kooten O. The biological shift factor. Biological age as a tool for modelling in pre- and postharvest horticulture. Acta Hortic. 687 (2005) 39-46
23. Vanstreels E., Lammertyn J., Verlinden B.E., Gillis N., Schenk A., and Nicolaï B.M. Red discoloration of chicory under controlled atmosphere conditions. Postharvest Biol. Technol. 26 (2002) 313-322
24. Verlinden B.E., Vanstreels E., Gillis N., Van Hecke P., De Baerdemaeker J., and Nicolaï B.M. Computation of mechanical stresses in Belgian endive during postharvest storage by means of finite element structural analysis. Acta Hortic. 566 (2001) 295-300