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Trees4Future workshop: statistical package breedR and phenotypic plasticity

A Trees4Future training workshop will be held on the use of the statistical package breedR from 30 June to 3 July 2015 in Jaca, Spain. The package provides frequentist and Bayesian statistical tools to build predictive models useful for breeders, quantitative geneticists and forest genetic resources analysts communities. Application deadline 10 June.

30 June 2015 - 3 July 2015
Austria
The Trees4Future project organises a workshop on the use of the statistical package breedR from 30 June to 3 July 2015 in Jaca, Spain.

breedR provides frequentist and Bayesian statistical tools to build predictive models useful for breeders, quantitative geneticists 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.

The course will comprise mainly training exercises with real forest genetics data and some short highlights on theory. It also includes a day focusing on phenotypic plasticity.

Detailed programme information is available here: http://www.trees4future.eu/events/workshop-on-statistical-package-breedr.html

There are no fees for attending the workshop; 30 places are available. Participants cover their own travel and accommodation costs. Trees4Future will provide up to four grants for undergraduate / PhD students. Depending on demand, this will include accommodation or accommodation/travel assistance.

The application deadline is 10 June.

For how to apply and further information visit http://www.trees4future.eu/events/workshop-on-statistical-package-breedr.html

Trees4Future (http://www.trees4future.eu) is an Integrative European Research Infrastructure project that aims to integrate, develop and improve major forest genetics and forestry research infrastructures. It provides the wider European forestry research community with easy and comprehensive access to currently scattered sources of information (including genetic databanks, forest modelling tools and wood technology labs) and expertise.