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

被引:0
|
作者
Salagovic, Jakub [1 ]
Hertog, Maarten [1 ]
Verboven, Pieter [1 ]
Dequeker, Bart [1 ]
Schenk, Ann [2 ]
Schaffer, Robert J. [3 ,4 ]
Richardson, Annette [3 ]
van de Poel, Bram [5 ,6 ]
Nicolai, Bart [1 ,6 ]
机构
[1] Katholieke Univ Leuven, Dept Biosyst, Div Mechatron Biostat & Sensors MeBios, Willem Croylaan 42, B-3001 Leuven, Belgium
[2] Flanders Ctr Postharvest Technol, Willem Croylaan 42, B-3001 Leuven, Belgium
[3] New Zealand Inst Plant & Food Res Ltd PFR, Private Bag 92169, Auckland 1142, New Zealand
[4] Univ Auckland, Sch Biol Sci, Private Bag 92019, Auckland 1142, New Zealand
[5] Katholieke Univ Leuven, Dept Biosyst, Div Crop Biotech, Willem Croylaan 42, B-3001 Leuven, Belgium
[6] Katholieke Univ Leuven, Plant Inst LPI, Arenbergpk 30, B-3001 Leuven, Belgium
基金
比利时弗兰德研究基金会;
关键词
Mathematical model; Ripening; Firmness; Colour; Soluble solids content; Tomato; Apple; TOMATO FRUIT; APPLE FRUIT; BIOLOGICAL VARIATION; NONDESTRUCTIVE MEASUREMENT; QUALITY ATTRIBUTES; STEM DIAMETER; PREHARVEST; MODEL; FIRMNESS; COLOR;
D O I
10.1016/j.postharvbio.2025.113519
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
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.
引用
收藏
页数:11
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