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Predicting Harvest Date Windows for Apples

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The article was published on 1992-07-01 and is currently open access. It has received 227 citations till now.

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Correlation of Sensory Analysis with Physical Textural Data from a Computerized Penetrometer in the Washington State University Apple Breeding Program

TL;DR: This paper used a computerized penetrometer to assess firmness and texture of apple selections from the Washington State University’s apple breeding program and 16 standard reference varieties, and found a significant correlation between the computerized penetration value and the sensory crispness value, thus demonstrating the benefit from using this equipment rather than the industry standard Magness-Taylor penetrometers.
Journal ArticleDOI

Influence of harvest maturity on cut-edge browning of ‘Granny Smith’ fresh apple slices treated with anti-browning solution after cutting

TL;DR: In this paper, the maturity indicators internal ethylene and starch clearing indices were measured and the results clearly indicate that apples harvested two weeks or earlier before induction of climacteric ethylene production (when starch index is less than 2.5) should be avoided for use in fresh slicing.
Journal ArticleDOI

Multiple plant hormones and cell wall metabolism regulate apple fruit maturation patterns and texture attributes

TL;DR: Physiological characterization demonstrated substantial differences in maturation progression between these two cultivars, and a remarkable transformation in fruit texture occurred from week −4 to week 0, indicating phenotypic variations in apple maturation patterns and texture attributes such as fruit firmness and crispness.
Journal ArticleDOI

Maturity and Storage Quality of `Honeycrisp' Apples

TL;DR: A panel of storage operators, packers, growers, and fruit extension specialists evaluated the samples for appearance and eating quality after storage, and results suggested that a 2-week harvest window is optimal.
Journal ArticleDOI

A Spectroscopy-Based Approach for Automated Nondestructive Maturity Grading of Peach Fruits

TL;DR: In this article, an automated approach for peach fruit maturity grading is presented by exploiting fiber-optic spectroscopy-based sensors and multivariate processing techniques, which minimizes the operator intervention while reducing discharge and waste.
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