南瓜果实品质评价的指标筛选与模型构建OA

To establish a comprehensive evaluation model for pumpkin fruit quality,51 accessions of Cucurbita mos-chata and 95 accessions of Cucurbita maxima were used as materials.Eleven fruit quality indicators were measured,and correlation analysis,factor analysis,cluster analysis,and two-dimensional factor ordination were applied to con-struct the evaluation model.The results indicated that moisture content,cellulose,soluble sugar,β-carotene con-tent,and sweetness of C.moschata were significantly higher than those in C.maxima.In contrast,starch content,amylose content,viscosity,dryness/wetness,and fibrous texture in C.maxima were significantly higher than those in C.moschata.The coefficients of variation for the 11 fruit quality indicators ranged from 9.00％to 69.04％.Moisture content showed the smallest coefficient of variation,while soluble sugar content exhibited the largest.Factor analysis extracted five common factors,with a cumulative variance contribution rate of 90.27％.The first common factor(F1)had the highest variance contribution rate(34.60％)and was primarily associated with moisture con-tent,soluble sugar content,starch content,and amylose content.Based on this,an evaluation model for pumpkin fruit quality was established:Y=0.383 2F1+0.263 2F2+0.132 1F3+0.127 5F4+0.094 0F5.Furthermore,cor-relation analysis and cluster analysis simplified the eleven original quality indicators into three representative indica-tors:starch content,fibrous texture,and soluble sugar content.The scatter distribution of F1 and the second com-mon factor(F2)confirmed high consistency between model-predicted values and actual measured values.The evalu-ation model developed in this study provides a methodological basis for pumpkin fruit quality assessment and serves as a reference for breeding high-quality pumpkin varieties.