Mean Performance and Stability in Multi‐Environment Trials I: Combining Features of AMMI and BLUP Techniques

Olivoto, Tiago; Dal’Cól Lúcio, Alessandro; Antônio Gonzalez da Silva, José; Sérgio Marchioro, Volmir; Queiróz de Souza, Velci; Jost, Evandro

doi:10.2134/agronj2019.03.0220

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Mean Performance and Stability in Multi‐Environment Trials I: Combining Features of AMMI and BLUP Techniques

Shared by NobleBlocks on Sep 19, 2019 • 12:00 AM UTC

Authors:

Tiago Olivoto

Alessandro Dal’Cól Lúcio

José Antônio Gonzalez da Silva

Abstract

Additive main effect and multiplicative interaction (AMMI) and best linear unbiased prediction (BLUP) are popular methods for analyzing multi‐environment trials (MET). The AMMI has nice graphical tools for modeling genotype‐vs.‐environment interaction (GEI) but fails in some aspects, such as accommo...

Subject

Ammi

Best linear unbiased prediction

Biplot

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