Multi-Environment and Multi-Year Bayesian Analysis Approach in .

This work aimed to use the Bayesian approach to discriminate 43 genotypes of cv. Conilon, which were cultivated in two producing regions to identify the most stable and productive genotypes. The experiment was a randomized block design with three replications and seven plants per plot, carried out in the south of Bahia and the north of Espírito Santo, environments with different climatic conditions, and evaluated during four harvests.

Adaptability and stability of Coffea canephora to dynamic environments using the Bayesian approach.

The objective of this work was to use the Bayesian approach, modeling the interaction of coffee genotypes with the environment, using a bisegmented regression to identify stable and adapted genotypes. A group of 43 promising genotypes of Coffea canephora was chosen. The genotypes were arranged in a randomized block design with three replications of seven plants each.