Fecha de publicación: 02/06/2020 Fuente: WIPO "tobacco agriculture" The invention discloses a whole genome selection model for predicting the nicotine content of tobacco and application thereof, and the whole genome selection model for predicting the nicotine contentof the tobacco is Bayes BNIC; in order that the prediction precision of the model on the phenotypic value of the nicotine content of the tobacco is optimal, core parameter values such as the number (n1) of molecular markers of the candidate prediction model Bayes B, the scale (n2) of a training group, the ratio (n3) of the training group to a test group and a model prediction precision value (n4)are clearly stipulated. The application refers to the application of the whole genome selection model Bayes BNIC to analyze the genotype data of a tobacco group so as to predict the nicotine content of the tobacco group. The tobacco nicotine content whole genome selection model Bayes BNIC provided by the invention can accurately predict the nicotine content value of each plant in a tobacco group according to the genotype of the tobacco group, so as to realize the cultivation of excellent tobacco varieties (lines) with different nicotine content levels in tobacco quality breeding.