Predicting post-storage cherry quality through nutrient analysis

07 Mar 2025
2042

Cherry quality after storage is a crucial factor for marketability and for reducing losses, especially in delicate varieties. A recent study conducted on the "Staccato" cultivar in 30 orchards in the Okanagan Valley, Canada, developed an innovative method for predicting post-storage quality by combining soil, leaf, and fruit nutrient analyses.

The goal was to identify pre-harvest and harvest-time factors that most influenced quality after four weeks of storage, using machine learning algorithms, particularly the support vector machine (SVM). The results showed that key parameters such as total soluble solids, firmness, and acidity could be predicted with high accuracy, allowing the supply chain to optimize management and improve final quality.

Key nutritional indicators

The analysis highlighted that calcium content is a key indicator of fruit firmness and soluble solids content after storage, while nitrogen affects firmness, acidity, and the presence of visual disorders such as stem browning.

Zinc content in the leaves showed a correlation with fruit weight and the acidity/soluble solids ratio, while magnesium influenced fruit coloration. Among the various factors analyzed, nutritional measurements in the leaves taken 3–4 weeks before harvest proved to be the most effective in predicting post-storage quality, whereas soil composition was less important compared to data collected directly from the plants.

Immagine 1. Prestazioni dell'SVM nella previsione della qualità post-conservazione dei frutti di ciliegia.

Predicting visual disorders

A critical aspect is the difficulty of predicting visual disorders based solely on pre-harvest data. However, including data measured at harvest significantly improves predictive capability, suggesting that a combination of pre-harvest and harvest-time information is the optimal approach.

The practical application of these results could help reduce economic losses in the cherry sector, estimated in Canada at between 3 and 10 million Canadian dollars (€2-7 million) per year.

Role of micronutrients in fruit quality

The importance of calcium in fruit firmness is confirmed by numerous previous studies, which highlight its role in cell wall stability, reducing susceptibility to physiological disorders.

Magnesium and iron, on the other hand, have been found to be crucial for maintaining color and sugar content, essential for consumers' perception of quality. Zinc, which is essential for plant metabolism, has shown a direct impact on fruit weight. Therefore, balancing the supply of micronutrients is essential to maximizing final quality.

Pre-harvest data, particularly mid-season leaf nutrients (N, Ca, Mg, Fe, Zn, and B), were reliable predictors of post-storage quality, while fruit nutrient concentrations alone were not sufficient.

Image 2. Taylor diagrams for the prediction of post-harvest fruit attributes. The points coloured red are the actual attribute values, while the other points belong to the predicted values using the attributes of the fruit (orange), leaves (green), harvested fruit (blue) and soil (crimson). ( a ) dry matter, ( b ) weight, ( c ) firmness, ( d ) pH, ( e ) titratable acidity, ( f ) total soluble solids, ( g ) TA/TSS ratio, ( h ) slippery skins, ( i ) stem browning, ( j ) pitting, ( k ) gravel and ( l ) rust.

Future perspectives

Future studies should focus on refining sampling strategies (timing, location, and leaf type). Additionally, it would be useful to develop technologies for rapid in situ measurement of nutrients (such as portable X-ray fluorescence) to further simplify and speed up analyses.

In conclusion, these findings provide new perspectives on managing the cherry supply chain. The use of predictive models based on machine learning offers a concrete opportunity to improve the sustainability of cherry production by optimizing fertilizer use and reducing losses throughout the supply chain.

Images: Sharifi et al., 2024; SL Fruit Service

Source: Sharifi, M., Wolk, W., Asefpour Vakilian, K., Xu, H., Slamka, S., & Fong, K. (2024). Integrating Soil,  Leaf, Fruitlet, and Fruit Nutrients, Along with Fruit Quality, to Predict Post-Storage Quality of  Staccato Sweet Cherries. Horticulturae, 10(11), 1230. https://doi.org/10.3390/horticulturae10111230

Andrea Giovannini
University of Bologna (IT)


Cherry Times - All rights reserved

What to read next

Difficulties and problems in Spain for the mountain cherry, Asaja Alicante against the regional organisation

Production Varieties

09 Nov 2023

The previous Ministry had been asked for a long-term viability plan to save the cherry harvest and to respond to last year's vulnerable situation, but farmers have not yet received a response from the regional administration.

Agrovision enters premium cherry production with Agrovision Chile

Markets

20 Dec 2024

This launch, spearheaded by the acquisition of Chilean grower and exporter ZurGroup, expands Agrovision's superfruit product offering and its commitment to fulfilling its mission to excite consumers and inspire nutritious snacks, using technology.

In evidenza

Canadian Cherry Month is in full swing, from 15 July to 15 August

Consumption

22 Jul 2026

From July 15 to August 15, Canadian Cherry Month encourages shoppers to check labels, bags and store signs before buying Canadian sweet cherries. The BC Cherry Association campaign supports local growers and promotes the Flip & Share contest with weekly prizes available.

Nutraceutical quality of sour cherries: ripening and genotype shape bioactive compounds

Quality

22 Jul 2026

A study of three Hungarian sour cherry cultivars examines how ripening, sugars, organic acids, vitamin C, anthocyanins, polyphenols and melatonin shape fruit quality, nutraceutical value and the best harvest time for fresh markets and industrial processing applications.

Tag Popolari