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Method for screening optimal animal model

An animal model and the best technology, applied in the field of animal breeding and animal quantitative genetics, can solve the problem that there is no exact scientific method for the best animal model selection, and achieve the effect of convenient operation

Inactive Publication Date: 2012-02-22
HENAN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

A good model should reflect the influence of various genetic and environmental factors on traits as accurately as possible on the basis of actual operability, but in many cases, we lack a full understanding of the various factors that affect a certain trait, Therefore, it is necessary to compare a variety of possible models to find the most suitable model
At present, there is no definite scientific method for the selection of the best animal model. Some postgraduates only use the size of the error variance component in the model. This method is somewhat one-sided.

Method used

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Effect test

Embodiment 1

[0020] A method for screening the best animal model of the present embodiment comprises the following steps:

[0021] (1) Establish 2 animal models:

[0022] The system environment effects contained in the two models are the same, but the random effects are different;

[0023] Model I: Individual Additive Genetic Effects

[0024] Model II: Individual additive genetic effects, maternal genetic effects

[0025] Model I is a submodel of Model II

[0026] (2) Variance component estimation: MTDFREML software is used to estimate the variance component of each trait using the above two models, and the iterative convergence standard in the calculation is 10 -9 , the likelihood function values ​​of the two models are respectively obtained and denoted as LMAX|Model I, LMAX|Model II;

[0027] (3) Screening method for the best animal model

[0028] LR = [-2ln(LMAX|Model Ⅰ)]-[-2ln(LMAX|Model Ⅱ)]

[0029] The number of parameters calculated under model I is 2: heritability ( ), ...

Embodiment 2

[0033] The method for screening the best animal model of the present embodiment comprises the following steps:

[0034] (1) Establish 2 animal models:

[0035] The systemic environmental effects included in the two models are the same, but the random effects are different

[0036] Model III: including individual additive genetic effects, maternal environmental effects

[0037] Model IV: including individual additive genetic effects, maternal genetic effects, and maternal environmental effects

[0038] Model III is a submodel of Model IV

[0039] (2) Variance component estimation: MTDFREML software is used to estimate the variance component of each trait using the above two models, and the iterative convergence standard in the calculation is 10 -9 , the likelihood function values ​​of the two models are respectively obtained and denoted as LMAX|Model III, LMAX|Model IV

[0040] (3) Screening method for the best animal model:

[0041] LR = [-2ln(LMAX|Model III)]-[-2ln(LMAX|...

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Abstract

The invention discloses a method for screening an optimal animal model. The method comprises the following steps of: (1) building different animal models; (2) carrying out variance component estimation; and (3) screening the optimal animal model. The method has the advantages that: the screening is carried out on the basis of a likelihood function value, parameter estimation number in the model and the random effect in the model, the model quality is judged by adopting the chi square test, and the screening method is convenient, flexible and scientific in operation.

Description

technical field [0001] The invention relates to the fields of animal breeding and animal quantitative genetics, in particular to a method for screening the best animal model. Background technique [0002] The estimation of genetic parameters is a basic work in livestock breeding. Accurate and reliable estimation of genetic parameters is essential for the formulation of breeding programs and individual genetic evaluation, and the reliability of genetic parameter estimation mainly depends on the quality of data and estimation methods . The problem often faced by livestock breeding researchers is how to obtain the most reliable estimates of genetic parameters for a given data set. At present, the constrained maximum likelihood method is the most widely used method for estimating genetic parameters in various countries in the world. The "DF-REML Method for Estimating Genetic Parameters of Livestock and Poultry" published in "Grass and Livestock" in April 2008 also proposed a re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A01K67/02
Inventor 白俊艳贾小平王玉琴张自强庞有志李元晓赵淑娟
Owner HENAN UNIV OF SCI & TECH
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