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Evaluation of sugarcane genotypes and production environments in Paraná by GGE biplot and AMMI analysis

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Academic year: 2019

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Figure 1A of the GGE Biplot analysis is important to  study the possible existence of mega-environments within  a growing region (Yan and Rajcan 2002)
Figure 1D shows the relationship between yield and sta- sta-bility from the vectorial standpoint of the environments, and  they are connected by vectors with the origin of the biplot
Figure 1. GGE Biplot methodology, with the first two principal axes of the interaction (PC1 and PC2) for the average yield per ton of sugar per hectare  (TSH) of 22 genotypes in 5 production environments in the state of Paraná
Figure 2. Biplot AMMI1 (A) with the first principal axis of interaction (PCI1) x average yield of tons of sugar per hectare (TSH), and AMMI2 (B),  with the first and second principal axis of interaction (PCI1 and PCI2) of 22 sugarcane genotypes at 5 locati

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