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Global climate changes can dramatically impact wheat production in Brazil's Cerrado biome, considered a new wheat farming frontier. Therefore, new approaches are needed to better understand the G×E interaction in environments that are highly dissimilar in terms of climate variables. Here, we integrate envirotyping, adaptability, and stability techniques to better understand the G × E interaction and provide new insights for the recommendation of tropical wheat genotypes that can perform well in hotter and drier environments. Thirty-six wheat genotypes were evaluated for grain yield in eight field trials in 2018, 2019, and 2020 in the Brazilian tropical region. There is strong evidence that even in irrigated conditions, temperatures > 30 °C during the booting and heading/flowering stages dramatically reduce the grain yield. Two lines, VI14774 (GY = 3800 kg ha−1), and VI14980 (GY = 4093 kg ha−1) had better performance in the hotter environment (~ 22% and ~ 32% higher than the grand mean) and are potential germplasm sources for warmer environments at the boosting and heading/flowering stages. In this study, the REML/BLUP and GGE Biplot methods highly correlate in terms of genotype classification for selection and recommendation purposes. The genotypes VI 14127, VI 14197, VI 14026, and BRS 264 are the closest to a hypothetical ideal genotype. Overall, this study provides new insights on how the environment typing can be useful to better understand the genotype-by-environment interaction and help to breed new climate-resilient wheat cultivars for the Brazilian tropical region. [ABSTRACT FROM AUTHOR]

• There is significant genotype × environment interaction. • There are different performances of eucalypt clones over time. • Temperature strongly influences the clustering of sites. • There are three mega-environments according to the latitude gradient formed over time. The genetic gains from eucalypt breeding programs have decreased compared to previous decades while productivity reduced in recent years. This decrease is mainly attributed to climate change that, according to studies, has been limiting productivity and changing the adaptation of forest species. But other aspects can be listed, as pests and diseases and decreasing gains with the advance of breeding programs. The objective of this work is to investigate the genotype × site × age interaction in a multi-environment trial with eucalypt clones to verify the adaptability and stability of the genotypes and, finally, to identify mega-environments over time, as well as the influence of climate variables on the genotype performances. The trait diameter at breast height (DBH) of 11 Eucalyptus commercial clones at 11 sites (range from −0.84 to −24.23 latitude and from −39.60 to −52.59 longitude) and three evaluated ages (Age 1 – ranging from 13 to 17 months after planting; Age 2 – from 31 to 34 months; Age 3 – from 48 to 53 months old) was measured and analyzed by factor analytic multiplicative mixed (FAMM) model associated with the GGE biplot and multivariate regression tree using climate variables. A significant G × E interaction and genotypes with different performance across environments and ages were observed. There are clones with high adaptability to specific sites while others show good stability. The results clustered the sites into three mega-environments according to a latitude gradient, over time. The performance of Eucalyptus clones over time indicate precisely either roughly similar or extremely contrasting environments. Temperature affected the most the clustering of the studied sites followed by the latitudinal gradient, impacting productivity negatively, regardless of age. These results may help future studies on the development of selection strategies in tropical regions to address climate change and assist forest breeding programs to deal with the effect of climate change on eucalypt productivity. [ABSTRACT FROM AUTHOR]