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Forest tree genetic evaluation precision improving method using SSR marker information

A technology of marker information and accuracy, applied in the field of forest tree genetics and breeding, can solve the problems of inability to provide pedigree information, pedigree information, inability to accurately estimate tree genetic parameters, and inability to accurately estimate genetic variance, etc., and achieve the effect of improving the effect.

Active Publication Date: 2017-06-06
SOUTH CHINA AGRI UNIV
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the problem that the pedigree information cannot be provided or the pedigree information is relatively limited when the existing experimental design is used for genetic evaluation, the genetic variance cannot be accurately estimated, and the genetic parameters of forest trees cannot be accurately estimated. The method of SSR marker information to improve the accuracy of forest tree genetic evaluation, using the G matrix constructed by SSR markers for forest tree genetic evaluation, accurate forest tree genetic evaluation, is very important for the selection of improved varieties or the identification of improved varieties

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  • Forest tree genetic evaluation precision improving method using SSR marker information
  • Forest tree genetic evaluation precision improving method using SSR marker information
  • Forest tree genetic evaluation precision improving method using SSR marker information

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Embodiment 1

[0048] The method for accurately evaluating forest tree genetics of the present invention includes the steps of family individual data collection, SSR marker data construction, model establishment and data analysis; details are as follows:

[0049] 1. Clonal individual data collection

[0050] Measure the ground diameter of all potted individuals, and then input the corresponding ground diameter data according to the clone number.

[0051] 2. Construction of SSR labeled data

[0052] SSR marker data is a polymorphism data set amplified by clones to different SSR markers and used to calculate the genetic identity between clones. Specific construction method: the DNA of all clones must be extracted, and the amplification of 134 pairs of SSR markers should be completed in sequence. The band was recorded as 1, and the absence of band was recorded as 0. The SSR marker data matrix was established, and the genetic identity coefficient matrix among the clones was calculated by NTsys...

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Abstract

The invention discloses a forest tree genetic evaluation precision improving method using SSR marker information. According to the method, a G matrix constructed by SSR markers is used for carrying out forest tree genetic evaluation. Firstly, ground diameters of all individuals of clone seedlings to be detected are measured, phenotypic data is formed, DNA of all clones is extracted, 134 pairs of SSR markers are used for performing amplification, an amplification result is recorded as 0 / 1 SSR marker data, then, genetic identity among the clones is calculated, and the inverse matrix is calculated to serves as a G matrix of clones; the phenotypic data is analyzed, combined with the G matrix constructed by S4, environment error and genetic variance are estimated, and according to a repeatability formula, a repeatability estimated value is calculated. According to the forest tree genetic evaluation precision improving method using the SSR marker information, the forest tree genetic evaluation effect can be precisely improved, there is no need to depend on traditional pedigree information, the method is not limited by genetic material pedigree information, and test materials are not limited in tree seed and test forest type, and the application prospect is good.

Description

technical field [0001] The invention belongs to the technical field of tree genetics and breeding. More specifically, it relates to a method for improving the accuracy of genetic evaluation of forest trees by using SSR marker information. Background technique [0002] Genetic improvement of forest trees requires field comparative experiments and trait determination to estimate various genetic parameters and evaluate the performance of provenance, family, single plant or clone, so as to cultivate improved forest tree varieties that meet the needs of forestry production. For offspring obtained through a certain mating design, pedigree information can be used to estimate more genetic parameters through individual models (Lin Yuanzhen and Chen Xiaoyang, R and ASReml-R Statistical Analysis Tutorial, Beijing: China Forestry Press, 2014). However, for provenance tests or clone determinations, pedigree information is often not clear. Even for progeny determinations with clear pedig...

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Application Information

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IPC IPC(8): G06F19/20G06Q50/02
CPCG06Q50/02G16B25/00
Inventor 林元震张卫华程玲张心菲张鑫鑫
Owner SOUTH CHINA AGRI UNIV
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