【摘要】 通过对花椰菜亲本主要经济性状的多元逐步回归分析,建立杂交一代单球重和成熟期的预测模型。结果表明,花椰菜杂交一代单球重预测回归模型为B6-1=0 5010-0 0098B3-2+0 1772B4-2-0 0481B12-2+0 0760C3-2+0 0503C5-2-0 0316C6-2+0 0377C7-2+0 1943C8-2+0 0086B13-3-0 0287C6-3-0 0256C14-3-0 0318C17-3+0 0391C21-3,母本的全株重(B4-2)和父本的成熟期(B13-3)对模型贡献最大,均达极显著水平;花椰菜杂交一代成熟期预测回归模型为B13-1=-12 3706+0 2367B1-2-0 1005B7-2-0 3056B8-2+0 4529B13-2-1 5787C7-2+1 9000C13-2-4 8968B4-3+0 2146B5-3+10 3628B6-3+0 7588B15-3-2 6718C7-3+11 9065C8-3+1 1356C9-3+1 1995C13-3-1 3294C18-3-0 9262C20-3,母本的成熟期(B13-2)和父本的显球期(B15-3)是影响杂一代成熟期的最主要因子。经田间验证,杂交一代单球重预测准确率达80 3%,杂交一代成熟期预测准确率69 5%,模型预测值与田间实测值相关系数为:单球重r=0 5931,成熟期r=0 7237,均达极显著正相关关系。经对回归模型方差分析,F值均达到0 0001水准,证明回归方程对样本观测值拟合度较高,可用做杂一代单球重和成熟期性状预测。更多还原

【Abstract】 The predictive models for the single head weight and maturity date in F₁ hybrids were established based on multiple regression analysis for their parents′ major economic characters of cauliflower. The results showed that predictive regression model for the single head weight of F₁ hybrid is B6_-1=0.5010-0.0098B3_-2+0.1772B4_-2-0.0481B12_-2+0.0760C3_-2+0.0503C5_-2-0.0316C6_-2+0.0377C7_-2+0.1943C8_-2+0.0086B13_-3-0.0287C6_-3-0.0256C14_-3-0.0318C17_-3+0.0391C21_-3.The whole plant weight of female parent（B4_-2）and maturation period of male parent （B13_-3）made great contribution, and reached highly significant difference. The predictive regression model for maturity date of F₁ hybrid is （B13_-1）=-12.3706+0.2367B1_-2-0.1005B7_-2-0.3056B8_-2+0.4529B13_-2-1.5787C7_-2+1.9000C13_-2-4.8968B4_-3+0.2146B5_-3+10.3628B6_-3+0.7588B15_-3-2.6718C7_-3+11.9065C8_-3+1.1356C9_-3+1.1995C13_-3-1.3294C18_-3-0.9262C20_-3.Maturation period of female parent （B13_-2） and beginning of heading stage （B15_-3） are the main factors that impact on maturity date of F₁ hybrid. The results from field experiment had proved that the accuracy for predicting the single head weight and maturity date of F₁ hybrid are up to 80.3% and 69.5% respectively. The correlation coefficient of the single head weight and maturity date between values from predictive model and field experiment are 0.593 1^** and 0.723 7^**respectively. Regression models appear greatly significant differences （p=0.000 1）. The high identical degree of regression equations with observed values, therefore, suggests that these regression models can be used to predict the single head weight and maturity date in F₁ hybrid of cauliflower.更多还原