Document Type

Conference Proceeding

Publication Date

2017

Abstract

Identification of winter wheat genotypes that are highly adapted to a wide range of environmental conditions is one of the most important wheat research objectives. Multienvironment trials (METs) under diverse environments is a commonly used practice to evaluate mean performance and yield stability. However, locations used and genotypes planted may vary from year to year which may cause yield stability analysis to be statistically challenging. In this study, we evaluated yield trial data containing 117 eastern soft red winter wheat genotypes that were grown in 35 locations in eastern production areas and four growing seasons (2012/2013 to 2015/2016). We used linear mixed model (LMM) and additive main effect and multiplicative interaction (AMMI) approaches to evaluate the mean performance and yield stability for each season. Genotype and location effects were highly significant at α = 0.001 for all four seasons and location effects had higher variation compared to genotypic effects. For example, the proportional variance components for location and genotype effects varied from 58-78% and 4-11% among seasons. The first two PC score contribution ranged from 40.7 to 67.3 % to the total genotypeenvironment variation for all seasons. Both LMM and AMMI approaches detected that Branson, and MO080108-4 were better performers, thus these two methods were consistent.

Publication Title

Conference on Applied Statistics in Agriculture

Volume

29th Annual COnference Proceedings

Format

application/pdf

DOI of Published Version

10.4148/2475-7772.1542

Publisher

New Prairie Press

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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