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Genotype-by-environment (G × E) interactions represent a critical component of plant breeding, as they significantly affect crop yield and stability across diverse cultivation conditions. Understanding these interactions requires advanced statistical analysis methods and appropriate software tools. This chapter presents a theoretical overview of G × E interactions and demonstrates the application of selected statistical tools, including Genstat and R softwares, for their analysis. Practical examples from breeding programs are also presented, emphasizing the advantages of employing modern analytical approaches.

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An Introductory Guide to the Usage of Statistical Softwares for Investigating G × E Interaction: From Theory to Application

  • 章节

  • 发表日期：

    2026年

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  • Alireza Pour-Aboughadareh,
  • Jan Bocianowski,
  • Bita Jamshidi

摘要

Genotype-by-environment (G × E) interactions represent a critical component of plant breeding, as they significantly affect crop yield and stability across diverse cultivation conditions. Understanding these interactions requires advanced statistical analysis methods and appropriate software tools. This chapter presents a theoretical overview of G × E interactions and demonstrates the application of selected statistical tools, including Genstat and R softwares, for their analysis. Practical examples from breeding programs are also presented, emphasizing the advantages of employing modern analytical approaches.