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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。
Through the multiple stepwise regression analysis of the main economic traits of cauliflower parents, a prediction model of single-sphere weight and maturity of hybrid generation was established. The results showed that the regression model of single-sphere weight of the cauliflower crosses was 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, whole plant weight (B4-2) and paternal The maturing period (B13-3) contributed the most to the model, reaching the extremely significant level. The prediction model of the maturity of the cauliflower hybrid was 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, the maturity of female parent (B13-2) and the male parent’s bulging stage (B15-3) were the most important factors affecting maturity of hybrid generation. The field test showed that the prediction accuracy of single-sphere hybridization was 80 3% and that of hybrid generation was 69 5%. The correlation coefficient between model predictive value and field measured data was: single ball weight r = 0 5931, maturity r = 0 7237, reached a significant positive correlation. The ANOVA analysis showed that the F values reached 0 0001 level, which proves that the regression equation has a good fit to the sample observations and can be used as a single-ball weight and maturity trait prediction.