Prediction of the onset of climacteric fruit ripening based on fruit growth characteristics

IF 6.4 1区 农林科学 Q1 AGRONOMY Postharvest Biology and Technology Pub Date : 2025-03-18 DOI:10.1016/j.postharvbio.2025.113519
Jakub Šalagovič , Maarten Hertog , Pieter Verboven , Bart Dequeker , Ann Schenk , Robert J. Schaffer , Annette Richardson , Bram Van de Poel , Bart Nicolaï
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Abstract

Appearance, texture, flavour and aroma of fruit undergo major changes during ripening. These changes normally start when the fruit is mature and reaches its nearly full size. However, predicting the exact moment when these quality changes are triggered is challenging. In this study, we present a generic approach to predict the onset of climacteric ripening based on a ripening activation function that incorporates the derivative of mass change of the fruit. We show that the parameterisation of the presented model depends on species but is universal for different growth conditions with different fruit growth dynamics. The proposed model was tested on four different fruit: tomato and kiwifruit representing berries; apple and pear representing pome fruit. The ripening identification model allows the integration of models describing various quality attributes with a growth model – enabling to prediction of a whole set of traits in one model rather than focusing on yield and selected quality attributes separately.
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来源期刊
Postharvest Biology and Technology
Postharvest Biology and Technology 农林科学-农艺学
CiteScore
12.00
自引率
11.40%
发文量
309
审稿时长
38 days
期刊介绍: The journal is devoted exclusively to the publication of original papers, review articles and frontiers articles on biological and technological postharvest research. This includes the areas of postharvest storage, treatments and underpinning mechanisms, quality evaluation, packaging, handling and distribution of fresh horticultural crops including fruit, vegetables, flowers and nuts, but excluding grains, seeds and forages. Papers reporting novel insights from fundamental and interdisciplinary research will be particularly encouraged. These disciplines include systems biology, bioinformatics, entomology, plant physiology, plant pathology, (bio)chemistry, engineering, modelling, and technologies for nondestructive testing. Manuscripts on fresh food crops that will be further processed after postharvest storage, or on food processes beyond refrigeration, packaging and minimal processing will not be considered.
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