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Article

Predicting genomic selection efficiency to optimize calibration set and to assess prediction accuracy in highly structured populations.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Nov 2017

Rincent R, Charcosset A, Moreau L

Abstract excerpt

KEY MESSAGE: We propose a criterion to predict genomic selection efficiency for structured populations. This criterion is useful to define optimal calibration set and to estimate prediction reliability for multiparental populations. Genomic selection refers to the use of genotypic information for predicting the performance of selection candidates. It has been shown that prediction accuracy depends on various...

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Identifiers

PMID: 28795202
DOI: 10.1007/s00122-017-2956-7
PMCID: PMC5641287

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