The work presents a methodology (instrumental and statistical) that synthesized a single numerical value for the degree of impact sensitivity of the fruit to impact damage. The drop damage index (DDI) is the result of a series of statistical steps, based on a multiple linear regression (MLR) model.
PH—Postharvest Technology: A Descriptor for Damage Susceptibility of a Population of Produce
✍ Scribed by A.F. Bollen; N.R. Cox; B.T. Dela Rue; D.J. Painter
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 223 KB
- Volume
- 78
- Category
- Article
- ISSN
- 0021-8634
No coin nor oath required. For personal study only.
✦ Synopsis
In the handling of fruits and vegetables the susceptibility of the product to mechanical damage is of primary concern. In the past, researchers have generally described the bruise susceptibility of a product in terms of its average bruise size (volume or area) as a function of energy (impact or absorbed). This method is not able to describe the variability of bruise occurrence within a population of perishable produce.
The more useful measure for commercial operators is the proportion of a product line which will sustain damage of economic importance. The approach presented in this paper uses a logistic function to describe the relationship between impact energy and the likelihood of a certain bruise size occurring. This approach takes into account the natural variability of bruising within any given population. The slope of the logit has been shown to be a characteristic of variety, with the logit o!set describing season and maturity variation for apples. The method also provided a good prediction technique for the susceptibility for varieties of nectarine and potato.
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The aim of the study was to determine the best reliable statistic model among linear and non-linear multiple regressions, to calculate an index of the fruit bruising susceptibility estimation that is the drop damage index (DDI). The DDI is determined by a specific numerical procedure where quantity