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Position: Home > Articles > Fruit quality of Rosa sterilis planted in different regions of Guizhou province, China Journal of Fruit Science 2016 (10) 1259-1268

贵州不同种植地区无籽刺梨果实品质评价

作  者:
李婕羚;胡继伟;李朝婵
关键词:
无籽刺梨;果实品质;主成分分析;回归分析;聚类分析;综合评价
摘  要:
【目的】对无籽刺梨果实品质进行评价,为后期无籽刺梨品质生态区划提供理论依据。【方法】以贵州14个乡镇无籽刺梨果实为材料,对其果实品质相关指标,如果形指数、平均单果质量、干物质、可食率、可溶性固形物、可溶性蛋白质、可溶性糖、可滴定酸含量、固酸比、糖酸比这10个重要品质指标进行测定和分析。采用主成分分析、逐步回归分析和聚类分析对不同种植地区无籽刺梨果实品质进行分析评价。【结果】无籽刺梨各品质相对独立的指标有密切相关性,使用隶属函数对各种植地所有指标进行转化并计算其综合评价分值降低了评价数据的冗余度;转化后各指标经主成分分析提取得到4个主成分因子,采用逐步回归分析将对综合评价指标贡献小的主成分因子剔除,最终第4个主成分因子被保留,因此无籽刺梨果实10个品质评价指标的排序为糖酸比>固酸比>可食率>可溶性糖含量>可滴定酸含量>可溶性固形物含量>干物质含量>可溶性蛋白质含量>果形指数>平均单果质量,其中糖酸比、固酸比、可食率和可溶性糖含量4个代表性指标对综合评价的贡献最大;K-means聚类分析将14个种植地区的果实品质分为优质、良好、一般、较差4类。【结论】内在风味指标在无籽刺梨果实评价中具有重要意义,本研究采用的评价方法客观、合理,揭示了不同种植地区无籽刺梨果实品质的差异,对贵州无籽刺梨品质生态区划研究具有一定的指导意义。
译  名:
Fruit quality of Rosa sterilis planted in different regions of Guizhou province, China
作  者:
LI Jieling;HU Jiwei;LI Chaochan;Guizhou Normal University·Key Laboratory of Plant Physiology and Developmental Regulation of Guizhou;Institute of China Karst, Guizhou Normal University;
关键词:
Rosa sterilis;;Fruit quality;;Principal component analysis;;Stepwise regression analysis;;K means;;Comprehensive evaluation
摘  要:
【Objective】Rosa sterilis is regarded as a new fruit species that is widely cultivated in Guizhou.It is regarded as a natural wild fruit, which grows at altitudes from 500 to 2 500 meters in the sunny slopesand valleys, along roadsides, and in the bushes. Due to the obvious distinctions in fruit quality caused bydifferent planting conditions, this paper aims to evaluate the fruit quality of R. sterilis in diverse areas toprovide a scientific basis for development of R. sterilis industry in Karst areas and offer theoretical founda-tion for ecological regionalization of R. sterilis.【Methods】R. sterilis fruits from 14 different towns of Gui-zhou province were investigated. 10 main quality parameters were measured, including fruit shape index,single fruit mass, dry matter, edible rate, soluble solid content, soluble proteins, soluble sugars, titratableacids, ratio of soluble solids to titratable acids and ratio of soluble sugars to titratable acids. The parame-ters of appearance quality collected included fruit weight, fruit longitudinal diameter, transverse diameter,fruit shape index, fruit number per branch, etc. Fruit longitudinal and transverse diameters were measuredby a Vernier caliper. The fruit shape index was the ratio of fruit longitudinal diameter to transverse diame-ter. The weight of fruit was determined by an electronic balance. The intrinsic quality of R. sterilis was reflected by fruit flavor and nutritional values, which included sugar to acid ratio, total soluble solid to titratable acid ratio, edible rate, soluble sugars, soluble solids, dry matter, soluble proteins, single fruit mass and titratable acids. Soluble solids, total soluble sugars, titratable acids, soluble proteins, dry matter, and edible rate were determined by Abbe refractometer, phenol sulfuric acid method, Na OH neutralization titration method, coomassie brilliant blue method, drying method and weighing method, respectively. Fruit flavor was scored by an evaluation team consisting of 10 people. The evaluation utilized a 5-grade marking system, denoted by Gi(i means the score of R. sterilis' fruit evaluation is from the number of"i"planting site), which was ranked by 5 with agreeable sour-sweet taste and superior aroma intensity, 4 with moderately agreeable sour-sweet taste and good aroma intensity, 3 with mild sour or sweet taste and aroma intensity, 2 with slight sour-sweet taste and little aroma intensity, and 1 with plain taste and no aroma. The method of membership function was used to normalize the raw data. According to the first formula, positive correlation indicators for fruit quality assessment were sugar-acid ratio, total soluble solids to titratable acids ratio, edible rate, soluble sugars, soluble solids, dry matter, soluble proteins, fruit shape index,and single fruit mass. The second formula was applied to titratable acid content, which was a negative correlation indicator. The third formula was Euclidean distance, which could reduce the dimension of data from 10 to 1. The results showed that Yi, which was a comprehensive evaluation of R. sterilis fruit from different planting sites. Principal component analysis(PCA) was used to identify interrelations between the quality indicators of R. sterilis. In order to eliminate the correlation between indicators and reduce the redundancy of data processing, it was essential to select representative indicators. Therefore, comprehensive evaluation indicators of R. sterilis were calculated using the normalization method and an Euclidean distance of 10 for individual indicators. And the comprehensive evaluations of R. sterilis were assessed by principal component analysis, stepwise regression analysis and K-means.【Results】The raw data of 10 individual indicators from 14 planting sites were normalized for correlation analysis. The results showed that10 individual quality indicators of R. sterilis were closely related. Soluble solid content and dry matter, soluble proteins and fruit shape index, soluble sugars and edible rate, soluble sugars and soluble solids, sugar to acid ratio and soluble sugars, and sugar to acid ratio and total soluble solid to titratable acid ratio were shown to have significant positive correlations. Titratable acids and fruit shape index had a significant negative correlation(P<0.05). Total soluble solid to titratable acid ratio and titratable acid, sugar to acid ratio and total soluble solid to titratable acid ratio, sugar to acid ratio and total soluble solid to titratable acid ratio had significant positive correlations(P<0.01). And principal component analysis was applied to select four irrelevant principal components(F1-F4), which covered most information of the R.sterilis. The stepwise regression analysis was used to remove the main component factors contributing to the comprehensive evaluation index. Finally, the fourth principal component persisted. The 10 indicators in sequence were sugar toacid ratio, total soluble solid to titratable acid ratio, edible rate, soluble sugars,titratable acids, soluble solids, dry matter, soluble proteins, fruit shape index, and single fruit mass, and the front four indicators contributed most to comprehensive evaluation of R. sterilis fruit. Then, the Kmeans cluster analysis of the R. sterilis quality comprehensive evaluations in 14 planting sites was utilized to divide all regions into 4 types: excellent, good, general and poor.【Conclusion】This research revealed that the internal quality has great significance in the evaluation of R. sterilis, and the evaluation methods were objective and reasonable, which revealed the diversity of the fruit quality in R. sterilis from different planting areas. Those results will guide ecological regionalization research of R. sterilis quality in Guizhouprovince.

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