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Orcid Publication

Detalle de: GEmetrics: Best Linear Unbiased Prediction of Genotype-by-Environment Metrics

Title GEmetrics: Best Linear Unbiased Prediction of Genotype-by-Environment Metrics
Abstract

Provides functions to calculate the best linear unbiased prediction of genotype-by-environment metrics: ecovalence, environmental variance, Finlay and Wilkinson regression and Lin and Binns superiority measure, based on a multi-environment genomic prediction model.

Apa Reference Rio, S., Carvalho, H.F. & Isidro y Sanchez, J. (2024). GEmetrics: Best Linear Unbiased Prediction of Genotype-by-Environment Metrics. CRAN: Contributed Packages. 10.32614/CRAN.package.GEmetrics
Doi 10.32614/CRAN.package.GEmetrics
Publication Date 5 Apr 2024
Publication Type Software
Researcher Julio Isidro y Sanchez
Ontology Genomics, Quantitative genetics
Research Groups
Tools GEmetrics

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