花椰菜杂交一代紧实度、产量系数预测模型的建立

Establishing of Predictive Models for Head Solidity and Yield Index in F1 Hybrids of Cauliflower

通过对花椰菜亲本主要经济性状的多元逐步回归分析,建立杂交一代紧实度、产量系数的预测模型。结果表明,母本的全株重与杂交一代紧实度呈正相关,母本花枝长与杂交一代紧实度呈负相关,对模型贡献最大,均达极显著水平;对杂一代产量系数贡献最大的是父本显球期,其次为母本产量系数、母本全株重、母本球高。经田间验证,杂交一代紧实度预测准确率70.8%,杂交一代产量系数预测准确率达87.7%,杂交一代预测值与田间试验实测值均呈极显著正相关关系,证明回归方程对样本观测值拟合度较高,可用做杂一代紧实度和产量系数性状预测。

The predictive models for head solidity and yield index in F1 hybrids of cauliflower were established based on multiple regression analysis for main economic characters of parents. The whole plant weight of female parent showed a positive correlation with head solidity of F1, whereas, flower branch length of female parent showed a negative correlation with head solidity of F1. Both of them made the greatest contributions to model at highly significant level. Otherwise, the greatest contribution to yield index of F1 was made by the bigining stage of heading of father parent, fellowed by yield index, the whole weight and head height of female parent. The results from field experiment had proved that the rates of accuracy for predicting head solidity of F1 hybrid was up to 87.7%. The greatly significant positive correlation was found between values from predictive model and field experiment. The high identical degree of regression equation with observed values, therefore, suggests that the regression model can be used to predict head solidity and yield index in F1 hybrid of cauliflower.