The application provides a method for predicting
overwintering rate and
cold resistance of
Brassica napus, and belongs to the technical field of rape cultivation. The method comprises the following steps:
sowing seeds of
Brassica napus to be evaluated in a field; in early December, after the minimum temperature in the field is lower than-4 DEG C and lasts for 5-10 days, the key indicators of
Brassica napus are determined; the determined key indicators are substituted into a regression equation of a
linear regression model to calculate the predicted
overwintering rate of Brassica napus; and the
cold resistance of Brassica napus is identified according to the obtained predicted
overwintering rate. Compared with the traditional natural overwintering identification, the application can obtain the predicted overwintering rate by only determining 7 key indicators once before winter, and complete the
cold resistance grading evaluation, so that the identification period is shortened.