Whole genome selection model for predicting nicotine content of tobacco and application thereof

Abstract

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.

Description

technical field [0001] The invention belongs to the field of biotechnology, and in particular relates to a genome-wide selection model for predicting tobacco nicotine content and an application thereof. Background technique [0002] The nicotine content in tobacco is not only a unique substance of Nicotiana, but also one of the key factors to measure the smoking quality of finished cigarettes. Studies have shown that nicotine exists in the entire growth period of tobacco and is distributed in the whole tobacco plant, while the nicotine content in the cured tobacco leaves directly affects the smoking quality of the final finished cigarette, which is affected by the environment and the effect is small and quantitative Quantitative traits controlled by numerous loci. In the progeny groups produced by hybridization between tobacco varieties with different nicotine contents or the natural population composed of different tobacco varieties, the nicotine content values ​​in each t...

AI Technical Summary

Problems solved by technology

So far, at the molecular level, especially for the genetic analysis of genetic loci / QTLs controlling tobacco nicotine content traits, there are still relatively few studies and the accuracy of the results is low, which restricts the use of molecular marker-assisted selection and other biotechnology methods to carry out targeted Breeding of High Quality New Varieties of Tobacco with Nicotine Content

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