A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
M3 model as a prototype tool for predicting performance of innovative plant teams Deliverable D3.2 (D23)
This deliverable report describes the applicability of the Minimalist Mixture Model – M3 – as a prototype tool for predicting performance of innovative plant teams. M3 has been developed as part of the work conducted in DIVERSify within WP3. M3, and its most recent further developments, are briefly described. The emphasis is on the general structure of the model, and the data needed for its calibration, running and validation. In addition, this report presents two applications of M3 to predict the performance of existing and novel plant teams. In the first application, M3 is used to determine the performance of plant teams differing from the existing ones for specific parameters, thus helping in the identification of key traits for superior performance, and hence potential innovative plant teams that should be prioritized in breeding. In the second application, M3 is used to determine the stability of a plant team performance in the face of variable climatic conditions, including those projected for the future.
M3 model as a prototype tool for predicting performance of innovative plant teams Deliverable D3.2 (D23)
This deliverable report describes the applicability of the Minimalist Mixture Model – M3 – as a prototype tool for predicting performance of innovative plant teams. M3 has been developed as part of the work conducted in DIVERSify within WP3. M3, and its most recent further developments, are briefly described. The emphasis is on the general structure of the model, and the data needed for its calibration, running and validation. In addition, this report presents two applications of M3 to predict the performance of existing and novel plant teams. In the first application, M3 is used to determine the performance of plant teams differing from the existing ones for specific parameters, thus helping in the identification of key traits for superior performance, and hence potential innovative plant teams that should be prioritized in breeding. In the second application, M3 is used to determine the stability of a plant team performance in the face of variable climatic conditions, including those projected for the future.
M3 model as a prototype tool for predicting performance of innovative plant teams Deliverable D3.2 (D23)
Vico, Giulia (author) / Berghuijs, Herman (author)
2020-01-01
Paper
Electronic Resource
English
DDC:
690
LiftWEC Deliverable D3.2: Preliminary assessment of computational capability report
| BASE | 2020
Integration of New and Emerging Technologies into Data Architectures : Deliverable D3.2
| BASE | 2023