Application of whole genome selection technology in forest tree breeding

Abstract

The invention discloses application of a whole genome selection technology in forest tree breeding. The method comprises the following steps: firstly, constructing an initial group through a known strong-advantage inbred line, performing genotype identification and heterosis group division, selecting a specific hybrid as a test seed to evaluate the heavy metal adsorption capacity expression of each material in the initial group, and establishing a whole genome selection model; gradually breeding in the heterosis group according to the heavy metal adsorption capacity evaluation result to obtain excellent single plants and further obtain a homozygous inbred line; and finally, performing genotype identification on the obtained homozygous inbred line, predicting the heavy metal adsorption capacity of the homozygous inbred line according to the whole genome selection model, and retaining the homozygous inbred line with a high heavy metal adsorption capacity estimated value, thereby obtaining the forest germplasm with high heavy metal adsorption capacity. The method is high in breeding efficiency and short in breeding period, and the forest tree breeding process can be accelerated.

Description

technical field [0001] The invention belongs to the field of forest tree genetics and breeding, and particularly relates to the application of whole genome selection technology in forest tree breeding. Background technique [0002] Forest genetics and breeding generally refer to the following studies: forest genetics, the genetic variation laws and evolutionary mechanisms of different traits of forest trees at the group, individual, cellular and molecular levels, providing a theoretical basis for the conservation and management of forest resources and the genetic improvement of forest trees. Genetic improvement of forest trees, strategies and procedures for forest improvement, formulation of breeding programs, theories and methods of introduction, selective breeding, and cross-breeding (including yield, quality, resistance and adaptive breeding, etc.) Forestry biotechnology uses genetic engineering, cell engineering, fermentation engineering, and enzyme engineering to geneti...

AI Technical Summary

Problems solved by technology

[0003] Traditional inbred breeding methods commonly used include methods such as recurrent selection, pedigree selection, and backcross breeding, but these methods often have the following problems: 1. The breeding cycle is long: the performance of the inbred line with the purpose traits is based on its hybrid offspring In addition, the selected line material needs multiple generations of self-crossing to form a pure line before it can be used to assemble hybrids, so it often requires a long breeding cycle; 2. High cost in the later stage of breeding: in the process of inbred line selection In the middle and later stages, a large number of inbred lines need to be tested for the purpose traits, and the cost of testing and matching will increase greatly with the increase in the number of test species and identification sites, and it is time-consuming and labor-intensive; 3. Traditional population improvement usually does not Combining molecular identification techniques and modern biostatistics to analyze and control the population structure of breeding populations, and often not systematically screened for population-specific molecular markers

However, in the existing breeding process, the genome-wide selection strategy has not been applied to the prediction of tree inbred lines for constructing target traits, and historical breeding data cannot be efficiently utilized