META-SAS: A Suite of SAS Programs to Analyze Multienvironment

Multienvironment trials (METs) enable the evaluation of the same genotypes under a v ariety of environments and management conditions. We present META (Multi Environment Trial Analysis), a suite of 31 SAS programs that analyze METs with complete or incomplete block designs, with or without adjustment by a covariate. The entire program is run through a graphical user interface. The program can produce boxplots or histograms for all traits, as well as univariate statistics. It also calculates best linear unbiased estimators (BLUEs) and best linear unbiased predictors for the main response variable and BLUEs for all other traits. For all traits, it calculates variance components by restricted maximum likelihood, least significant difference, coefficient of variation, and broad-sense heritability using PROC MIXED. The program can analyze each location separately, combine the analysis by management conditions, or combine all locations. The flexibility and simplicity of use of this program makes it a valuable tool for analyzing METs in breeding and agronomy. The META program can be used by any researcher who knows only a few fundamental principles of SAS.

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Additional Info

Field Value
Author Vargas, Mateo, Combs, Emily, Alvarado, Gregorio, Atlin, Gary, Crossa, José
Maintainer CIMMYT Research Data & Software Repository Network
Last Updated January 20, 2025, 15:04 (UTC)
Created January 20, 2025, 15:04 (UTC)
creator Vargas, Mateo
date 2015-06-17T00:00:00
harvest_object_id d6166728-021b-4266-be45-b38228faa7af
harvest_source_id a58b0729-e941-4389-816d-5823f01c0d28
harvest_source_title CIMMYT Research Data
identifier https://hdl.handle.net/11529/10217
metadata_modified 2024-10-26T07:00:02
set_spec cimmytswdvn