Agricultural Science
基因组预测
Genomic PredictionA statistical method that uses genome-wide marker data to predict the genetic merit of individuals for complex traits. / 一种利用全基因组标记数据预测个体复杂性状遗传价值的统计方法。
- Knowledge type
- 自然理论
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-24 22:01:25
Sub-knowledge points
GBLUP (Genomic Best Linear Unbiased Prediction)Bayesian methods (BayesA, BayesB, BayesCπ)Single-step GBLUP
Higher-order knowledge points
Genomic SelectionMarker-assisted selection
Main parameters and performance indicators
Genomic Relationship Matrix: Describes the genetic similarity between individuals based on markers.Phenotypic Data: Measured traits used to calibrate the prediction model.Marker Density: Number of genetic markers used in the prediction.
Open problems
Modeling genotype-by-environment interactions.Improving prediction accuracy for low-heritability traits.
Related literature
ranked by community starsAccurate prediction of wheat grain protein content via integration of genomic prediction and high-throughput phenotyping in breeding fieldsOpen source
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1 recordsRecord title: Genomic Prediction.
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