Multi-environment trials compare genotypes in varying environments, i.e., locations. Since relative performance of genotypes depends on environments, the focus is typically not only on average performance of genotypes over environments, but also on genotype-by-environment interaction. Estimates of this interaction determine which genotypes farmers choose to grow in their special environments. The additive main effects and multiplicative interaction (AMMI) model (Gauch Citation1988) is a popular method for the analysis. The AMMI model includes additive main effects of genotypes, additive main effects of environments, and multiplicative effects of genotype-by-environment interaction.

Cleaning up of messy datasets using R

Analysis and Visualization of ANOVA pairwise comparisons of mean.

Machine is an important component of Artificial Intelligence (AI). Through the use of statistical methods, machine learning algorithms are trained on a subset of data in order to make classifications or predictions, and to uncover key patterns or trends in data. Machine learning is currently used across many professions to support decision making process with application in bussiness, medicine, agriculture and many more.