Whole genome selection model for predicting fructose content of tobacco and application of whole genome selection model

Abstract

The invention discloses a whole genome selection model for predicting the fructose content of tobacco and an application of the whole genome selection model. The whole genome selection model for predicting the fructose content of the tobacco is Bayes CFRC; in order to enable the prediction precision of the model on the fructose content phenotypic value in the tobacco to be optimal, the core parameter values such as the number (n1) of molecular markers, the scale (n2) of a training group, the ratio (n3) of the training group to a test group and the prediction precision value (n4) of the model in a candidate prediction model Bayes C are clearly specified. The application is the application of utilizing the whole genome selection model Bayes CFRC to analyze genotype data of a tobacco population so as to predict the fructose content of the tobacco population. The tobacco fructose content whole genome selection model Bayes CFRC can accurately predict the fructose content value of each tobacco plant in the group according to the genotype of the tobacco group, so that the cultivation of varieties (lines) with different fructose content levels in tobacco quality breeding is realized.

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 fructose content and an application thereof. Background technique [0002] The fructose content in tobacco is not only the main chemical component that shows the unique flavor style of tobacco in different regions, but also one of the key factors affecting the smoking quality of cigarettes. Studies have shown that the content of fructose in tobacco leaves reaches a peak after curing, which is a quantitative trait controlled by a large number of genetic loci with small environmental and effect effects. In the progeny groups produced by hybridization between tobacco varieties with different fructose contents or the natural population composed of different tobacco varieties, the fructose content values ​​of tobacco plants present a standard normal distribution in line with quantitative traits (Julio E., Denoyes Rothan B., ...

AI Technical Summary

Problems solved by technology

However, due to the long and difficult process of obtaining data on the fructose content of tobacco, tobacco can only be obtained after a long field growth period and complicated and cumbersome procedures such as harvesting, baking, primary selection, grading, sample preparation, and testing. Phenotypic data for fructose content

The above-mentioned whole process takes at least 2 years, and each process is extremely susceptible to environmental, technical, instrumental and human factors, resulting in low accuracy of the finally obtained phenotypic value of fructose content

So far, at the molecular level, especially for the genetic analysis of genetic loci / QTLs controlling tobacco fructose 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 biotechnological methods to carry out targeted research. Breeding of High Quality Tobacco Varieties with Fructose Content

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