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

IF 6.8 1区 农林科学 Q1 AGRONOMY Postharvest Biology and Technology Pub Date : 2025-07-01 Epub 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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基于果实生长特征的果实成熟期预测
果实的外观、质地、风味和香气在成熟过程中发生重大变化。这些变化通常在果实成熟并达到接近完整尺寸时开始。然而,预测这些质量变化触发的确切时刻是具有挑战性的。在这项研究中,我们提出了一种基于成熟激活函数的预测更年期成熟开始的通用方法,该函数包含了果实质量变化的导数。我们表明,所提出的模型的参数化取决于物种,但对于不同的生长条件和不同的果实生长动态是通用的。提出的模型在四种不同的水果上进行了测试:代表浆果的西红柿和猕猴桃;苹果和梨代表梨的果实。成熟识别模型允许将描述各种品质属性的模型与生长模型集成在一起,从而能够在一个模型中预测一整套性状,而不是单独关注产量和选定的品质属性。
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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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