Studies And Application Of Prediction Model Of Cauliflower Breeding

Applying the method of multiple statistical analysis and using SAS software to analysis main economic characters of 126 cauliflower parents and 360 F1S.Through studying relationship between parents and their offspring, set up the prediction regression models of cauliflower F1 generation and its main parent's characters .and correlation analysis was performed for single head weight and maturation period of F1 generation and their main parent's characters. The result are as follows:1. Through stepwise regression analysis, set up prediction regression model for single head weight, maturation period, head compactness, beginning of heading stage, yield coefficient of cauliflower F1 generation.2. Through stepwise regression and correlation analysis, the result indicated that most important factor for single head weight of F1 generation is female parent's whole plant weight and male parent's growth period; Male parent's beginning of heading stage and female parent's growth period were the most important factor which affected maturation period of F1 generation; It is most relative for beginning of heading stage of F1 is male parent's beginning of heading stage and female parent's growth period; Head compactness of F1 is mainly controlled by female parent's whole plant weight and head branch length..3. The result that the prediction models applied in the field is yield coefficient over 1.4 account for 75% of all prediction excellent F1S and inferior F1S account for 80% of all prediction inferior F1S.