genetic diversity., forage grasses and legumes, nitrogen use efficiency, machine learning models, GHG emission reduction, Population genetics
Enhancing the genetic diversity and variability of crops and livestock for the agroecological transition
From NMBU, Norway, we can be actively involved in 1.1, 1.2 and 1.3 sections with interests in genetic diversity, population genetics, plant breeding, handling big data (sequence data, omics) and machine learning models.
We are predominantly working in forage grass and legumes and also in other cereal crops. We can offer capacity for field trials for yield, quality, disease testing and screening of genotypes.
Have experience in plant genetics and breeding for 15 years and currently leading two big projects related to improving nitrogen use efficiency, reducing GHG emissions, and plant breeding.
looking to lead any of the work packages related to genetic diversity, breeding, big data and modelling.
Norwegian University of Life Sciences (NMBU) is predominantly an Agricultural University with strong groups in plant and animal sciences. Using advanced technologies and infrastructure to carry on field trials, green house experiments and using robots, drones.
