TITLE:
RGxE: An R Program for Genotype x Environment Interaction Analysis
AUTHORS:
Mahendra Dia, Todd C. Wehner, Consuelo Arellano
KEYWORDS:
Genotype x Environment Interaction, R Programming Language, RGxE, Univariate, Multivariate
JOURNAL NAME:
American Journal of Plant Sciences,
Vol.8 No.7,
June
26,
2017
ABSTRACT: Genotype
x environmental interaction (GxE) can lead to differences in performance of
genotypes over environments. GxE analysis can be used to analyze the stability
of genotypes and the value of test locations. We developed an Rlanguage program
(RGxE) that computes univariate stability statistics, descriptive statistics,
pooled ANOVA, genotype F ratio
across location and environment, cluster analysis for location, and location
correlation with average location performance. Univariate stability statistics
calculated are regression slope (bi),
deviation from regression (S2d),
Shukla’s variance (σi2), S square Wricke’s ecovalence (Wi), and
Kang’s yield stability (YSi). RGxE
is free and intended for use by scientists studying performance of polygenic or
quantitative traits over multiple environments. In the present paper we provide
the RGxE program and its components along with an example input data and
outputs. Additionally, the RGxE program along with associated files is also
available on GitHub at https://github.com/mahendra1/RGxE,
http://cucurbitbreeding.com/todd-wehner/publications/software-sas-r-project/
and http://cuke.hort.ncsu.edu/cucurbit/wehner/software.html.