Research on fruit classification standard of Annona atemoya cv. ‘Fenglishijia’

CAI Xiaolin;PAN Jiechun;HUANG Sijie;ZHOU Yumian;LIU Honghong;HUANG Guixiang;College of Agriculture,Guangxi University;

‘Fenglishijia';;fruit classfication standard;;principal component analysis;;clustering analysis

The indexes of ‘Fenglishijia'fruit including the shape factors,weight and soluble solids content( SSC)were measured,principal component analysis and clustering analysis were used to set up the standard quality grading of fruits of ‘Fenglishijia'by SPSS,the aim of this study was to provide reference for quality classification of ‘Fenglishijia'fruit. Results showed that fruit skewness degree coeffient of variation was the largest,and thickness in large part of lopsided fruit coefficient of variation was the smallest for all the studied indexes. There was close correlation among fruit shapes and they were also highly related to the single fruit quality. SSC is extremely significant positively related to single fruit weigt,and extremely significant negatively related to skewness degree. Principal component analysis and clustering analysis showed that the standard quality grading of fruits of‘Fenglishijia'should be mainly based on single fruit weight and other indexes that represents fruit size,and the assistant factors should be based on the fruit shape index and the skewness index that represents the fruit shape and the degree of skewness,respectively.