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Summary The presence of genotype-environment interaction (GEI) influences production making the selection of cultivars in a complex process. The two most used methods to analyze GEI and evaluate genotypes are AMMI and GGE Biplot, being used for the analysis of multi environment trials data (MET). Despite their different approaches, both models complement each other in order to strengthen decision making. However, both models are based on biplots, consequently, biplot-based interpretation doesn’t scale well beyond two-dimensional plots, which happens whenever the first two components don’t capture enough variation. This paper proposes an approach to such cases based on cluster analysis combined with the concept of medoids. It also applies AMMI and GGE Biplot to the adjusted data in order to compare both models. The data is provided by the International Maize and Wheat Improvement Center (CIMMYT) and comes from the 14th Semi-Arid Wheat Yield Trial (SAWYT), an experiment concerning 50 genotypes of spring bread wheat (Triticum aestivum) germplasm adapted to low rainfall. It was performed in 36 environments across 14 countries. The analysis provided 25 genotypes clusters and 6 environments clusters. Both models were equivalent for the data’s evaluation, permitting increased reliability in the selection of superior cultivars and test environments.

Ratoon Stunting Disease, caused by the bacterium Leifsonia xyli subsp. xyli (Lxx), decreases sugarcane yield by reducing culm growth and tillering, especially in plants with high Lxx titers when the symptoms are more severe. The role of Lxx titers in affecting sugar partitioning and sugarcane growing is still unclear. We hypothesized that high Lxx titers affect source-sink relationship by causing physiological changes in the sugarcane that reduces sugar partitioning to tillers. The study was carried out with susceptible sugarcane genotype CB49260, evaluating physiological traits and biomass production in plants with low (158 ± 28 Lxx cells per 100 ng of plant DNA) and high Lxx titers (2090 ± 385 Lxx cells per 100 ng of plant DNA). Overall, the level of bacterial titers affected sugarcane growth through changes in ethylene level, sugar and biomass partitioning. Plants with high Lxx titers presented a lower number and biomass allocation to tillers than low Lxx titers. Additionally, plants with high Lxx titers had higher biomass allocation to the main culm than low Lxx titers plants due to greater sucrose and starch contents in the main culm caused by the higher number of cell parenchyma, decreased soluble acid invertase activity, and low number of tillers. Changes in sugar and biomass partitioning in plants with high Lxx titers were associated with low release of ethylene in the leaf and culm. Sugarcane with high Lxx titers presented physiological changes that restricted sugar supply for tillering, resulting in a decrease in the number and biomass allocation to the tillers.