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

ABSTRACT: 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. The experimental plot was harvested four years in the study period, according to the maturation cycle of each genotype. The proposed Bayesian methodology was implemented in the free program R using rstanarm and coda packages. It was possible to use previous information on coffee genotypes as prior information on parameter distributions of an Adaptability and Stability model, which allowed obtaining shorter credibility interval

SUBMITTER: Partelli FL 

PROVIDER: S-EPMC9270379 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature