首页|30个杨梅品种果实品质分析与综合评价

30个杨梅品种果实品质分析与综合评价

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[目的]评价不同杨梅品种果实品质的差异,建立杨梅果实品质综合评价体系.[方法]以30个杨梅品种为试验材料,对果实外观品质、内在品质和矿质元素指标进行测定和分析,并利用主成分分析法对30个杨梅品种果实品质进行综合评价.[结果]30个不同杨梅品种的果实各个品质指标之间存在较大差异,部分内在品质指标和矿质元素指标存在显著差异.综合相关性分析和主成分分析筛选出可溶性固形物(TSS)、可滴定酸、抗坏血酸(AsA)、苹果酸、总酚和硒(Se)矿质元素含量作为杨梅果实品质性状评价的核心指标.[结论]采用相关性分析和主成分分析综合评价方法可为优良杨梅品种筛选提供参考依据.
Fruit quality analysis and comprehensive evaluation of 30 bayberry vari-eties
[Objective]There are differences in fruit quality among different bayberry varieties.Under-standing fruit quality traits can provide valuable information and evaluation tools for breeding and de-velopimg excellent bayberry varieties.Therefore,the purpose of this study was to explore the compre-hensive quality traits and their differences of bayberry fruit,and to establish an efficient evaluation sys-tem for the quality of bayberry fruit.[Methods]In order to explore the fruit quality traits,the fruits of 30 bayberry varieties were collected in this study,and 20 indexes such as average weight,fruit shape in-dex,edible rate,fruit hardness,total soluble solids content,titratable acid,glucose,sucrose,fructose,ascorbic acid(AsA),malic acid,citric acid,amino acid(AA),proanthocyanidin,flavonoid,total phenol,calcium(Ca),iron(Fe),zinc(Zn)and selenium(Se)were measured.The fruit quality of different bay-berry varieties was analyzed and evaluated by using SPSS 17.0 statistical software for coefficient of vari-ation analysis,correlation analysis,principal component analysis and comprehensive score ranking.[Results]There were significant differences in the fruit quality indexes among 30 bayberry varieties,and the coefficient of variation ranged from 3.13%to 78.94%.The fruit shape index was between 0.92 and 1.06,and the edible rate was between 83%and 94%,indicating that the coefficient of variation of fruit shape index and edible rate was small.In terms of fruit internal quality,the content of sucrose in bayberry fruit was the highest,followed by fructose and glucose.Among the organic acids,the content of malic acid varied greatly among different bayberry varieties,but the content of citric acid varied lit-tle.In terms of functional nutrients in fruits,the coefficient of variation of proanthocyanidins among dif-ferent bayberry varieties was relatively high,and the coefficient of variation of AsA,flavonoids and to-tal phenols was medium.Correlation analysis showed that there was a certain correlation between the quality indexes of different bayberry varieties,and some indexes were even highly correlated.Average fruit weight was significantly and positively correlated with malic acid,and significantly and negatively correlated with Fe and Zn contents in fruits.There was a significant positive correlation between fruit shape index and AsA content.There was a significant negative correlation between edible rate and titrat-able acid.Fruit hardness was significantly and positively correlated with glucose and significantly and negatively correlated with Ca contents.There was a significant correlation between glucose,sucrose,fructose and soluble solids.There was a significant positive correlation between AsA and citric acid and proanthocyanidin content.There was a significant positive correlation between citric acid and proantho-cyanidin content.Total phenols were significantly and positively correlated with malic acid and proan-thocyanidins,and extremely significantly and positively correlated with flavonoids content.In addition,the mineral elements in the fruit were significantly or extremely significantly and negatively correlated with some fruit nutrient elements.The principal component analysis of 17 traits of 30 different bayberry varieties was carried out by eliminating the sensory indexes with less variation,such as shape index,edi-ble rate and fruit hardness.Six principal components with eigenvalues greater than 1 were extracted,and the cumulative contribution rate was 80.017%.The contribution rate of principal component 1 was 25.155%,and the first principal component was mainly determined by citric acid,AsA and proanthocy-anidin.The contribution rate of principal component 2 was 20.085%,and the second principal compo-nent was mainly determined by soluble solids content and fructose.The contribution rate of principal component 3 was 13.048%,and the main components determining the size of the third principal compo-nent were flavonoids and total phenols.The contribution rate of principal component 4 was 8.483%,and the main factor determining the size of the fourth principal component was malic acid.The contri-bution rate of principal component 5 was 6.835%,and the main factor determining the size of the fifth principal component was titratable acid.The contribution rate of principal component 6 was 6.409%,and it was mainly Se mineral element that determined the size of the sixth principal component.The first and third principal components could mainly represent fruit function,the second,fourth and fifth principal components could represent fruit flavor,and the sixth principal component mainly could repre-sent fruit mineral nutrition.Soluble solids content,titratable acid,ascorbic acid(AsA),malic acid,total phenols and Se mineral element were selected as the core indicators for the evaluation of fruit quality traits of bayberry by comprehensive correlation analysis and principal component analysis.By principal component analysis,Changshuzaohong,Muyemei,Xiaoheitou,Dayexidi,Xiaoyexidi,Zaoshuyihao and Xishanzaoshu got the higher scores.[Conclusion]Through the comprehensive analysis of the fruit qual-ity of 30 bayberry varieties,the conclusions are as follows:soluble solids content,titratable acid,AsA,malic acid,total phenols and Se mineral element can be used as the core indicators for the quality evalu-ation of bayberry.Correlation analysis and principal component analysis can be used to provide a refer-ence basis for the screening of excellent bayberry varieties.

BayberryFruit qualityPrincipal component analysisComprehensive evaluation

赵双、黄颖宏、郄红丽

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江苏省太湖常绿果树技术推广中心,江苏苏州 215107

苏州农业职业技术学院,江苏苏州 215008

江苏省农业种质资源保护与利用平台,南京 210014

杨梅 果实品质 主成分分析 综合评价

江苏省种业振兴"揭榜挂帅"项目江苏省特色果树产业技术体系建设项目枇杷杨梅创新团队项目苏州市农业科技创新重点项目

JBGS[2021]019JATS[2023]359SNG2022008

2024

果树学报
中国农业科学院郑州果树研究所

果树学报

CSTPCD北大核心
影响因子:1.486
ISSN:1009-9980
年,卷(期):2024.41(3)
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