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The causal meaning of genomic predictors and how it affects the construction and comparison of genome-enabled selection models

bioRxiv

Dec 21, 2013

Bruno D ValenteKent Weigel

Abstract

The additive genetic effect is arguably the most important quantity inferred in animal and plant breeding analyses. The term effect indicates that it represents causal information, which is different from standard statistical concepts as regression coefficient and association . The proc...read more

Mentioned in this Paper

Genome
Genomic Stability
Etiology
Genomics
Breeding
Learning
Analysis
Genotype Determination
Phenotype Determination
Decision
6
3
Paper Details
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The causal meaning of genomic predictors and how it affects the construction and comparison of genome-enabled selection models

bioRxiv

Dec 21, 2013

Bruno D ValenteKent Weigel

PMID: 990001511

DOI: 10.1101/001511

Abstract

The additive genetic effect is arguably the most important quantity inferred in animal and plant breeding analyses. The term effect indicates that it represents causal information, which is different from standard statistical concepts as regression coefficient and association . The proc...read more

Mentioned in this Paper

Genome
Genomic Stability
Etiology
Genomics
Breeding
Learning
Analysis
Genotype Determination
Phenotype Determination
Decision
6
3
Paper Details
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  • Citations
  • finger pointing at paper

    References currently unavailable

    We're still populating references for this paper, please check back later.
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