FieldSimR: An R Package to Simulate Multi- Environment Field Trial Data at the Plot-Level

Christian Werner, Giovanny Covarrubias-Pazaran, Dorcus Gemenet, Marlee Labroo, Daniel Tolhurst

Research output: Contribution to conferencePoster

Abstract

• FieldSimR enables the simulation of multi-environment field trial data at the plot level. It provides user-friendly functionality to compare different experimental designs and analysis models for their performance.
• Its core function is to generate spatially correlated plot-level errors
using either bivariate interpolation or a separable first-order autoregressive process (AR1:AR1).
• FieldSimR is available on CRAN.
•While the simulation of genotypic values is not implemented in the package, FieldSimR provides wrapper functions to facilitate simulation of genotypes for multiple traits in a multi-environment field trial setting using the R package 'AlphaSimR’.
Contact: Christian Werner
(CGIAR Excellence in Breeding Platform) [email protected] excellenceinbreeding.org.
Original languageEnglish
Pages1-1
Number of pages1
Publication statusE-pub ahead of print - 23 Sept 2022
EventEucarpia Biometrics in Plant Breeding Conference - Paris-Saclay University Campus, Paris, France
Duration: 21 Sept 202223 Sept 2022
Conference number: XVIII

Conference

ConferenceEucarpia Biometrics in Plant Breeding Conference
Country/TerritoryFrance
CityParis
Period21/09/2223/09/22

Fingerprint

Dive into the research topics of 'FieldSimR: An R Package to Simulate Multi- Environment Field Trial Data at the Plot-Level'. Together they form a unique fingerprint.

Cite this