Method for performing forest tree multiple-trait pyramiding breeding based on multiple-trait genomic selection

Abstract

The invention discloses a method for performing forest tree multiple-trait pyramiding breeding based on multiple-trait genomic selection. The method sequentially comprises the following steps: clonal individual phenotypic data acquisition; clonal pedigree information and A matrix construction or SNP marker typing data and G matrix construction; multiple-trait model establishment and data analysis. The method disclosed by the invention has the benefits that the workload of forest tree trait phenotype determination can be reduced, and no lamination by the correlation degree between traits and markers exists; compared with a conventional traditional progeny determination technology, multiple-trait orientation and accurate breeding can be realized, an obtained hybrid offspring have reliable productivity and genetic background, the forest tree multiple-trait pyramiding breeding period is significantly shortened, and no specific limitation on tree species and test forest types exists; the forest tree multiple-trait pyramiding breeding purpose can be quickly achieved; therefore, the application prospect is wide.

Description

technical field [0001] The invention belongs to the technical field of forest tree genetics and breeding, and in particular relates to a method for multi-character aggregate breeding of forest trees based on multi-character genome selection. Background technique [0002] The traditional genetic improvement of forest trees requires field comparative experiments and trait determination, estimation of various genetic parameters and evaluation of the performance of provenance, family, single plant or clone to cultivate improved forest tree varieties that meet the needs of forestry production. However, most of the production traits of forest trees are controlled by micro-effect multi-genes, and the cycle of flowering, pollination and progeny determination of forest trees is often relatively long, generally in tens of years. It is when there are many traits and the trait correlation is complex. The long generation time and the characteristics of late expression of most complex ch...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the defects and deficiencies in the multi-trait aggregation breeding of forest trees in the prior art, and provide an efficient method for multi-trait aggregation breeding of forest trees based on multi-trait genome selection, so as to solve the problem of using Existing forest tree breeding technology, when carrying out multi-trait aggregation breeding, cannot accurately select parents and requires a long period of time, so as to make up for the shortcomings of the existing technology

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