The invention provides an additive formula optimization method for improving the effect of a suckercide based on
computational chemistry, and belongs to the technical field of suckercide, and the method comprises the following steps: obtaining key components in a mixed ester
alcohol suckercide, and determining an
optimal combination through suckercide effect evaluation; the
cell structure change of tobacco
axillary bud meristem treated by the
bud inhibitors with different concentrations is observed by adopting an
electron microscope and a biological
slicing technology; analyzing the influence of the suckercide on the
gene regulation network in the early development stage of the tobacco axillary buds by utilizing multi-
omics analysis, and identifying a core regulation
gene; a
molecular biology method is used for verifying the function of the key
gene, and a
bud inhibition mechanism is analyzed; based on a multi-objective optimization model, an optimal auxiliary agent formula is determined, and the comprehensive performance is evaluated in a small-
scale test. The research is helpful for developing a new efficient, low-cost and environment-friendly tobacco
bud inhibition technology. The technical problems that an existing additive formula optimization method depends on experience, and a formula comprehensively optimized in multiple aspects of effect, risk, stability and the like is difficult to find are solved.