JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (4): 61-72.doi: 10.12302/j.issn.1000-2006.202109034

Special Issue: 乡村振兴视域下经济林果培育专题(Ⅱ)

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Comparison of three comprehensive evaluation methods to evaluate the quality of persimmon fruit

CHENG Wenqiang1,2(), XU Yang1, WU Kaiyun1, ZHAO Xianmin1, GONG Bangchu1,*()   

  1. 1. Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou 311400, China
    2. College of Forestry, Nanjing Forestry University, Nanjing 210037, China
  • Received:2021-09-17 Revised:2021-11-27 Online:2023-07-30 Published:2023-07-20

Abstract:

【Objective】 This research aims to evaluate the quality of persimmon fruits using three comprehensive methods in order to provide a theoretical basis for the precise selection and efficient utilization of high quality persimmon germplasm. 【Method】 We selected 85 persimmon germplasm resources in Zhejiang Province as the object of evaluation, and examined 13 quality indicators (weight per fruits, diameter of horizontal cross section, diameter of vertical cross section, content of the crude protein, vitamin C, starch, calcium and β-carotene, water content, content of the soluble solids, soluble sugar, tannin and crude fiber) of persimmon fruit. We employed the principal component analysis, the entropy evaluation method and the entropy-weighting TOPSIS method to evaluate fruit comprehensive quality. 【Result】 Fruit quality of different persimmon germplasm resources varied significantly with variation coefficients of 3.82%-87.89%. High variations were found in content of the β-carotene, tannin, starch, crude protein, vitamin C, calcium, fruit weight and crude fiber, and low variations were showed in horizontal and vertical cross section diameters, soluble sugar, soluble solids and water content. The principal component analysis revealed that top scoring persimmon germplasm fruits were Changxing 1, Fuyang 2, Fenghua 1 and Liandu 2. The entropy evaluation method ranked the top scoring persimmon fruits as Wuyi 3, Yongjia 10, Wuyi 4 and Huangyan 2. The entropy-weighting TOPSIS method gave top scoring persimmon fruits to Wuyi 3, Yongjia 10, Wuyi 4, and Chun'an 14. The entropy method and the entropy-weighting TOPSIS method showed relatively similar ranking, while the principal component analysis deviated from the other two methods in scoring. These three methods differ in their theoretical bases, in data standardization methods, and in an index weight assignment. The entropy-weighting TOPSIS based scoring overcame the complexity of the large amount of data on fruit trait indicators and the problem of small dispersion degree of key indicators, and matched best with the production performances and overall quality of different germplasm. 【Conclusion】 The entropy-weight based TOPSIS model simplifies and improves comprehensive evaluation of persimmon germplasm fruit quality compared with scoring by the principal component analysis and the entropy evaluation method.

Key words: Diospyros kaki (persimmon), fruit quality, principal component analysis (PCA), entropy evaluation method, entropy-weighting TOPSIS

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