Prosjekter

DivGene - Diversity analyses of key genes involved in interaction between potato and Phytophthora infestans

A main objective of the project is to improve our understanding of interaction and co-evolution of host and pathogen using potato (Solanum tuberosum L.) and its economically most important pathogen, Phytophthora infestans (Mont.) de Bary, as a model. Our main hypothesis is that co-evolution of potato and P. infestans in agroecosystems is based on diversity of the resistance genes present in the cultivated potatoes and effector genes present in the pathogen populations.

FYTOBIOM

I dette prosjektet fokuserer vi på den del av fytobiomet som kalles mikrobiomet. Vi identifiserer de mikroorganismene som er assosiert med bedre plantehelse og grøde/utbytte hos potet og hvete. Pluss de mikroorganismene på frø som påvirker spireevnen. Hovedmålet er å finne alle bakterier, sopp og oomyceter som er tilstede.

Big data

Availability of data and information is crucial to be able to take correct decisions at all levels in many sectors: from healthcare to transport and energy, including bioeconomy, big data have become fundamental. The new challenges coming from data complexity and the demands for faster information management, elaboration and extraction call for a paradigm shift in the way data is acquired, stored, processed and analyzed. The solution for the challenges lies in the methods and in the technology, platform and software solutions of big data which are advancing rapidly. Especially the geospatial part of big data solution is a technology which is much newer and constantly in progress.

Improved competitiveness of Norwegian potatoes