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M3 model as a prototype tool for predicting performance of innovative plant teams Deliverable D3.2 (D23)

Vico, Giulia and Berghuijs, Herman (2020). M3 model as a prototype tool for predicting performance of innovative plant teams Deliverable D3.2 (D23). (NL, NJ) > Dept. of Crop Production Ecology, Sveriges lantbruksuniversitet.
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Abstract

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.

Authors/Creators:Vico, Giulia and Berghuijs, Herman
Title:M3 model as a prototype tool for predicting performance of innovative plant teams Deliverable D3.2 (D23)
Year of publishing :2020
Number of Pages:26
Publisher:Designing InnoVative plant teams for Ecosystem Resilience and agricultural Sustainability
Language:English
Publication Type:Report
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 102 Computer and Information Science > 10203 Bioinformatics (Computational Biology) (applications to be 10610)
URN:NBN:urn:nbn:se:slu:epsilon-p-115301
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-115301
Alternative URL:http://plant-teams.org/wp-content/uploads/2021/03/D23-Deliverable-3.2-M3-model-for-predicting-performance-of-innovative-plant-teams-SLU.pdf
ID Code:27317
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Crop Production Ecology
Deposited By: SLUpub Connector
Deposited On:15 Mar 2022 12:25
Metadata Last Modified:18 Mar 2022 10:30

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