This repository contains some scripts that I developed for the implementation of bayesian models for genetic assesment. In both cases, we implemented the analyses using the R package MCMCglmm (Hadfield, 2010).
1. Multiple-trait model through Bayesian inference applied to Jatropha curcas breeding for bioenergy
Multitrait model for genetic assesment in jathropha curcas. We implemented the multitrait analyses, calculated the genetic and phenotypic correlation using bayesian approach (MCMC) for selection.
DOI: https://doi.org/10.1371/journal.pone.0247775
2. Multitrait and multiharvest analyses for genetic assessment and selection of Tahiti acid lime genotypes through Bayesian inference
Multitrait mixed models implemented at the bayesian framework to selection superior genotypes of tahiti acid lime considering different traits and selection indexes.
DOI: https://doi.org/10.1016/j.scienta.2021.110536
Any question about the analyses, please, contact me!
Marco
Dr. Marco Antonio Peixoto
Email: deamorimpeixotom@ufl.edu
Page: https://marcopxt.github.io/