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Description
In the framework of forest genetic resource management, the project is focused on addressing the following key objectives:
1. development and validation of a novel approach of genetic evaluation,
2. economic evaluation of innovated selection indices,
3. adoption of newly developed seed orchard layouts to accommodate specific characteristics of advanced generation seed orchards,
4. development of genetic thinning algorithm promoting random mating and minimizing inbreeding in seed orchards,
5. utilizing simulation tools: comparing the efficiency of alternative tree improvement strategies."
Under ongoing climate change, novel adaptive strategies securing optimum forest reproductive material are needed. Each objective mentioned above will be fulfilled by novel methodological development and software solutions validated in the operational tree improvement programs in Norway and the Czech Republic. Joint datasets and expertise bring an added value to this partnership.
Summary of project results
The project focused on the forest tree gene-resource management for improved selection and efficiency in the context of the climate change. It addressed the challenge of increasing productivity in Norway spruce, Scots pine in Norway, and Douglas fir in the Czech Republic, while enhancing the genetic diversity of new plantations.
The project developed and validated a novel genetic evaluation protocol, developed a software conducting economic evaluation utilizing improved selection indices, and adopted spatial seed orchard layouts to accommodate specific constraints in advanced generations. It also developed a genetic thinning algorithm promoting random mating and minimizing inbreeding in seed orchards, and utilized stochastic simulations to compare the efficiency of alternative tree improvement strategies.
The project produced openly accessible results such as methodologies, softwares and publications, utile particulary to forest industry, forest researchers, ministries and legislative bodies.
Summary of bilateral results
The bilateral collaboration strengthened ties between both countries, involving PhD students, developing software tools, and setting the stage for continued efforts through an H2020 project and an upcoming international PhD course.