Da Su , Xiaojun Yan , Jie Ou , Mengting Qin , Yunfei Jiang , Zhiya Jin , Liangquan Wu
{"title":"Unveiling quality links: External predictors of internal quality in Guanxi honey pomelo (Citrus maxima (Burm.) Merr.) mutants","authors":"Da Su , Xiaojun Yan , Jie Ou , Mengting Qin , Yunfei Jiang , Zhiya Jin , Liangquan Wu","doi":"10.1016/j.jfca.2025.107874","DOIUrl":null,"url":null,"abstract":"<div><div>Guanxi honey pomelo is highly valued for its distinctive flavor and nutritional profile. This study evaluated ∼1700 fruits from core orchards in Pinghe, Fujian, China, to investigate the relationships between external appearance and internal quality across two major mutants, Hongrou and Sanhong. Twenty-six key indicators were assessed, encompassing external traits (e.g., fruit shape, peel color, firmness) and internal attributes (e.g., flavor, antioxidants, and minerals). Hongrou and Sanhong pomelos exhibited comparable average fruit weight (∼1300 g), volume (∼2.0 L), density, and shape index, but differed in peel coloration and texture - Hongrou showed higher yellowness (<em>b</em>*), while Sanhong displayed greater redness (<em>a</em>*) and lower firmness. Internally, Sanhong demonstrated enhanced flavor characteristics (TSS: 11.57 %; TSS/TA: 18.2) and higher antioxidant contents (total phenolics: 6.09 g/kg; total flavonoids: 2.56 g/kg; vitamin C: 36.4 mg/100 g), whereas Hongrou had higher mineral concentrations, including Ca, Mg, Zn, and Fe. Canonical correlation analysis (CCA) revealed strong and significant associations between external and internal quality traits (canonical r = 0.70 in Hongrou; 0.66 in Sanhong; <em>P</em> < 0.05). In Hongrou, color <em>b</em>* emerged as the strongest external predictor (loading: 0.777), while in Sanhong, shape index (0.726), peel saturation (0.463), density (-0.648), and weight (-0.525) were key external predictors. These traits were primarily linked to internal indicators such as juice pH, reducing sugars, and TSS/TA ratio. In summary, yellow peel with moderate saturation predicted superior internal quality in Hongrou, while in Sanhong, higher shape index, greater peel saturation, and moderate weight were indicative of enhanced internal quality. Among internal quality dimensions, flavor quality showed the strongest and most consistent correlation with external traits (r = 0.62 in Hongrou; r = 0.59 in Sanhong). Fruit bagging experiments further validated these external-internal correlations. These findings serve as a valuable reference for advancing pomelo quality grading and breeding strategies.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"146 ","pages":"Article 107874"},"PeriodicalIF":4.6000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889157525006891","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Guanxi honey pomelo is highly valued for its distinctive flavor and nutritional profile. This study evaluated ∼1700 fruits from core orchards in Pinghe, Fujian, China, to investigate the relationships between external appearance and internal quality across two major mutants, Hongrou and Sanhong. Twenty-six key indicators were assessed, encompassing external traits (e.g., fruit shape, peel color, firmness) and internal attributes (e.g., flavor, antioxidants, and minerals). Hongrou and Sanhong pomelos exhibited comparable average fruit weight (∼1300 g), volume (∼2.0 L), density, and shape index, but differed in peel coloration and texture - Hongrou showed higher yellowness (b*), while Sanhong displayed greater redness (a*) and lower firmness. Internally, Sanhong demonstrated enhanced flavor characteristics (TSS: 11.57 %; TSS/TA: 18.2) and higher antioxidant contents (total phenolics: 6.09 g/kg; total flavonoids: 2.56 g/kg; vitamin C: 36.4 mg/100 g), whereas Hongrou had higher mineral concentrations, including Ca, Mg, Zn, and Fe. Canonical correlation analysis (CCA) revealed strong and significant associations between external and internal quality traits (canonical r = 0.70 in Hongrou; 0.66 in Sanhong; P < 0.05). In Hongrou, color b* emerged as the strongest external predictor (loading: 0.777), while in Sanhong, shape index (0.726), peel saturation (0.463), density (-0.648), and weight (-0.525) were key external predictors. These traits were primarily linked to internal indicators such as juice pH, reducing sugars, and TSS/TA ratio. In summary, yellow peel with moderate saturation predicted superior internal quality in Hongrou, while in Sanhong, higher shape index, greater peel saturation, and moderate weight were indicative of enhanced internal quality. Among internal quality dimensions, flavor quality showed the strongest and most consistent correlation with external traits (r = 0.62 in Hongrou; r = 0.59 in Sanhong). Fruit bagging experiments further validated these external-internal correlations. These findings serve as a valuable reference for advancing pomelo quality grading and breeding strategies.
期刊介绍:
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.