Integrated statistical platform for analyzing forest genetic resources

Objectives

Research WPs

The objective is to make available to the consortium a ready-to-use statistical platform specifically designed for and by forest tree scientists and breeders.

This platform should: 

  • Comprise key analytical tools needed to assess the structure, distribution and extent of genetic variability and its various components in wild and artificial pedigreed populations
  • Take into account key needs and protocols of potential users (geneticists, breeders, forest managers and technicians, among others), also at the input and output sides by facilitating the dialogue with existing databases, and following a bottom-top design where users can drive its design
  • Comprise user interface modules, data analyses modules and graphical modules, and whenever possible data warehousing modules
  • Be for most of its components publicly accessible open source, in order to allow continuous improvements from future collaborators and users, and as the best guarantee of flexibility and survival over the long-term
  • Foster the interchange and expertise on statistical issues across the consortium and European partners

breedR: an statistical R-package for genetic evaluation of trees

This package provides frequentist and Bayesian statistical tools to build predictive models useful for the breeders, quantitative genetists and forest genetic resources analysts communities. It aims to assess the genetic value of individuals under a number of situations, including spatial autocorrelation, genetic/environment interaction and competition.

Dissemination page: http://famuvie.github.io/breedR/
Development page:  https://github.com/famuvie/breedR/
Tutorials: https://github.com/famuvie/breedR/wiki/Getting-started


Lead partner

Institut national de la recherche agronomique (INRA)

Contact

Léopoldo Sanchez, INRA
leopoldo.sanchez@orleans.inra.fr