Classical and GGE biplot methods are graphical procedures that allow multivariate data to
be analyzed. In particular, the GGE biplot displays the genotype main effect (G) and the …

The use of genotype main effect (G) plus genotype‐by‐environment (GE) interaction (G+
GE) biplot analysis by plant breeders and other agricultural researchers has increased …

The Additive Main effects and Multiplicative Interaction (AMMI) model, Genotype main effects
and Genotype× Environment interaction (GGE) model, and Principal Components Analysis …

Recent review articles in this journal have compared the relative merits of two prominent
statistical models for analyzing yield‐trial data: Additive main effects and multiplicative …

Between the covers of this book is the first synthesis of both the practice and the philosophy
of the scientific method. It will enable scientists to be better scientists by offering them a …

Genotype× environment (GE) interaction effect is one of the major challenges in identifying
cultivars with stable performance across environments and years. Objective of the present …

The identification of the highest yielding cultivar for a specific environment on the basis of
both genotype (G) and genotype× environment (GE) interaction would be useful to breeders …

Stability of 13 winter wheat (Triticum aestium L.) varieties across 4 locations and 2 years with
respect to grain yield were tested in Lithuania. The analysis of variance of the 13 varieties in …

The success of plant breeding programs depends on the ability to provide farmers with
genotypes with guaranteed superior performance in terms of yield across a range of …

Nitrogen (N) is one of the most important nutrients required for high productivity of the maize
plant. In most farmers' fields in Sub-Saharan Africa (SSA), there is low availability of N in the …