摘要
以29个厚皮甜瓜品种为试验材料,进行了甜瓜主要农艺性状指标变异性分析及甜瓜产量和品质构成分析。结果表明:平均单瓜质量、叶面积指数、纵径、中心可溶性固形物含量等4个农艺性状变异系数较大,分别为22.75%、19.74%、15.99%、13.21%;主成分分析提取了5个主成分,累计贡献率88.09%,可以利用其对厚皮甜瓜品种进行综合评价;利用逐步回归方法分别建立了厚皮甜瓜产量构成、品质构成回归模拟方程,其中产量模拟方程为:Y1=-2.655 4+0.063 6X_3+0.008 56X_4+0.069 6X_5+0.178 5 X_6(R=0.953 4,X_3为叶面积指数,X_4为果实发育天数,X_5为果实纵径,X_6为果实横径),回归方程拟合度高,可以较好地预测厚皮甜瓜品种的产量。
Twenty nine musk melon cultivars were used as the experimental materials and we analyzed the variability of main agronomic characters and their yield and quality composition. The results indicated that agronomic traits variable coefficients of average fruit weight,leaf area index,vertical diameter and soluble solid content were bigger,which were 22. 75%,19. 74%,15. 99%,13. 21%. We extracted 5 principal components,the contribution rate of which was up to 88. 09%,and they could be used for comprehensive evaluation of musk melon. Stepwise regression method was used to build the simulation equations of the yield and quality of musk melon,and the yield simulation equation was Y1=- 2. 655 4 + 0. 063 6X_3+0. 008 56X_4+ 0. 069 6X_5+ 0. 178 5X_6( R = 0. 953 4,X_3 was leaf area index,X_4 was fruit growth period,X_5 was fruit vertical diameter,and X_6 was fruit equatorial diameter). The fit of regression equation was high,which could predict the yield of musk melon.
出处
《河南农业科学》
CSCD
北大核心
2016年第12期116-119,131,共5页
Journal of Henan Agricultural Sciences
基金
国家西甜瓜产业技术体系建设项目(CARS-26)
河南省农业科学院自主创新项目(2016ZC23)
河南省农业科学院科研发展专项(20157804)