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This article in AJ

  1. Vol. 105 No. 1, p. 11-19
    OPEN ACCESS
     
    Received: Jan 12, 2012
    Published: November 16, 2012


    * Corresponding author(s): j.crossa@cgiar.org
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doi:10.2134/agronj2012.0016

META: A Suite of SAS Programs to Analyze Multienvironment Breeding Trials

  1. Mateo Vargasa,
  2. Emily Combsb,
  3. Gregorio Alvaradoc,
  4. Gary Atlind,
  5. Ky Mathewsc and
  6. Jose Crossa *c
  1. a Universidad Autonoma Chapingo, Chapingo, Mexico, and Biometrics and Statistics Unit, CIMMYT, Apdo. Postal 6-641, 06600, Mexico DF, Mexico
    b Dep. of Agronomy and Plant Genetics, Univ. of Minnesota, 1991 Upper Buford Cir., St Paul, MN 55109
    c Biometrics and Statistics Unit, CIMMYT, Apdo. Postal 6-641, 06600, Mexico DF, Mexico
    d Global Maize Breeding Program, CIMMYT, Apdo. Postal 6-641, 06600, Mexico DF, Mexico

Abstract

Multienvironment trials (METs) enable the evaluation of the same genotypes under a variety of environments and management conditions. We present META (Multi Environment Trial Analysis), a suite of 33 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 (BLUPs) 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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