Variation in Fruit Quality Traits of Peach (Prunus persica) Under Different Cultivation Conditions and Its Evaluation Methods 
Author
Correspondence author
Plant Gene and Trait, 2026, Vol. 17, No.
Received: 01 Jan., 1970 Accepted: 01 Jan., 1970 Published: 29 Apr., 2026
© 2026 BioPublisher Publishing Platform
Abstract
This review summarizes the composition, variation patterns, and evaluation methods of fruit quality traits in peach (Prunus persica) under different cultivation conditions. Peach fruit quality is multidimensional, encompassing external, internal, and nutritional attributes, among which sugar–acid composition, texture, and aroma are key determinants of eating quality. Environmental factors (light, temperature, and water) and cultivation practices (fertilization, pruning, crop load regulation, etc.) significantly regulate fruit quality by influencing metabolic processes and interacting with genotype. In terms of evaluation methods, traditional physicochemical and sensory assessments remain fundamental, while modern chromatographic, spectroscopic, and non-destructive techniques (e.g., Vis/NIR and hyperspectral imaging) enable rapid and accurate quality evaluation. Meanwhile, multi-index comprehensive evaluation models (such as PCA and AHP) improve the scientific robustness and practical applicability of quality assessment. Future research should focus on integrating multi-omics and intelligent detection technologies, promoting standardized evaluation systems and precision regulation to achieve stable improvement of peach fruit quality.
Keywords
(The advance publishing of the abstract of this manuscript does not mean final published, the end result whether or not published will depend on the comments of peer reviewers and decision of our editorial board.)
The complete article is available as a Provisional PDF if requested. The fully formatted PDF and HTML versions are in production.
Plant Gene and Trait
• Volume 17
View Options
. PDF
Associated material
. Readers' comments
Other articles by authors
. Yan Chen
Related articles
Tools
. Post a comment
Associated material
. Readers' comments
Other articles by authors
. Yan Chen
Related articles
Tools
. Post a comment