FW: An R Package for Finlay–Wilkinson Regression that Incorporates Genomic/Pedigree Information and Covariance Structures Between Environments
The Finlay–Wilkinson regression (FW) is a popular method among plant breeders to describe genotype by environment interaction. The standard implementation is a two-step procedure that uses environment (sample) means as covariates in a within-line ordinary least squares (OLS) regression. This procedu...
| Main Authors: | , |
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| Format: | Online |
| Language: | English |
| Published: |
Genetics Society of America
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4777122/ |