Cluster analysis of Japanese plum cultivars for optimizing export handling conditions

• Japanese plum cultivars present different responses to cold storage. • Firmness, TSS, colour, and respiration are the key factors for distinguishing plums. • Clustering algorithms insightfully group plum cultivars with similar cold responses. • Japanese plum cultivars are categorised into climacteric and suppressed climacteric. Cold storage is the most popular method used to retain fruit quality during shipping. However, cold storage can affect the fruit quality of plum cultivars differently. This study aimed to identify the cultivars with similar responses to reduce quality loss. The physical, biochemical, and physiological responses of twelve plum cultivars stored under simulated commercial conditions were analyzed. Results showed significant differences in physiological and physicochemical properties between cultivars, including total soluble solids (ranging from 13 ± 0.4% to 16.53 ± 0.35% at harvest), TSS/TA (7.03 ± 0.47 to 18.19 ± 1.56 at harvest) and color (9.48 ± 0.71 to 68.43 ± 0.74 at the end of shelf life). Two physiological groups of plum cultivars were identified: climacteric and suppressed-climacteric plums. PCA highlighted firmness, color, respiration, TSS/TA ratio, and BrimA as the main features for distinguishing plum cultivars. Also, although the K-means model presented better-defined clusters (silhouette score of 0.45±0.06), hierarchical clustering (silhouette score of 0.22±0.02) can offer different options depending on related constraints, via hierarchical relationships among clusters. This study serves as a guideline for industrials to improve storage conditions and minimize quality loss during export for long-distance destinations.

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Publication Details

Journal
Scientia Horticulturae
Published
2025-04-01
DOI
https://doi.org/10.1016/j.scienta.2025.114185
Citations
2
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
1.50

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article

Cluster analysis of Japanese plum cultivars for optimizing export handling conditions

Yardjouma Silué, Olaniyi Amos Fawole
2 citations
Scientia Horticulturae
Spectroscopy and Chemometric Analyses
1.50
article

Cluster analysis of Japanese plum cultivars for optimizing export handling conditions

Yardjouma Silué, Olaniyi Amos Fawole
article en
2 citations

Abstract

• Japanese plum cultivars present different responses to cold storage. • Firmness, TSS, colour, and respiration are the key factors for distinguishing plums. • Clustering algorithms insightfully group plum cultivars with similar cold responses. • Japanese plum cultivars are categorised into climacteric and suppressed climacteric. Cold storage is the most popular method used to retain fruit quality during shipping. However, cold storage can affect the fruit quality of plum cultivars differently. This study aimed to identify the cultivars with similar responses to reduce quality loss. The physical, biochemical, and physiological responses of twelve plum cultivars stored under simulated commercial conditions were analyzed. Results showed significant differences in physiological and physicochemical properties between cultivars, including total soluble solids (ranging from 13 ± 0.4% to 16.53 ± 0.35% at harvest), TSS/TA (7.03 ± 0.47 to 18.19 ± 1.56 at harvest) and color (9.48 ± 0.71 to 68.43 ± 0.74 at the end of shelf life). Two physiological groups of plum cultivars were identified: climacteric and suppressed-climacteric plums. PCA highlighted firmness, color, respiration, TSS/TA ratio, and BrimA as the main features for distinguishing plum cultivars. Also, although the K-means model presented better-defined clusters (silhouette score of 0.45±0.06), hierarchical clustering (silhouette score of 0.22±0.02) can offer different options depending on related constraints, via hierarchical relationships among clusters. This study serves as a guideline for industrials to improve storage conditions and minimize quality loss during export for long-distance destinations.

Scientia HorticulturaeVol. 346
University of Johannesburg (ZA), Stellenbosch University (ZA)
National Research Foundation, National Research Foundation of Korea, Hortgro Science, South African Agency for Science and Technology Advancement
Openalex Percentile: Top 20%
Spectroscopy and Chemometric Analyses
1.50
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