Modelling the effects of cropping systems on weed dynamics: the trade-off between process analysis and decision support - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Book Sections Year : 2022

Modelling the effects of cropping systems on weed dynamics: the trade-off between process analysis and decision support

Modélisation des effets des systèmes de culture sur la dynamique des adventices : le compromis entre l'analyse des processus et l'aide à la décision

Nathalie Colbach

Abstract

Models are essential to synthesize knowledge on weeds and to design integrated weed-management strategies. These models must rank cropping systems as a function of weed infestation, and account for variability in effects to estimate probabilities of success or failure. Three case studies are presented: (1) an empirical static single-equation model that directly relates weed biomass to crop management, with few inputs and parameters, (2) a matrix-based multiannual model predicting a few key weed stages annually, from weed control options and a few parameters, (3) a mechanistic process-based multiannual model predicting detailed soil, crop and weed state variables daily, with an individual-based 3D canopy representation, requiring hundreds of inputs and parameters. The chapter concludes that models using a mechanistic representation of the cropping-system ´ environment interactions are best for quantifying effects and their variability, combined with a subsequent transformation with in silico experiments into empirical models of key cropping-system components.
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Dates and versions

hal-03687414 , version 1 (03-06-2022)

Identifiers

  • HAL Id : hal-03687414 , version 1

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Nathalie Colbach. Modelling the effects of cropping systems on weed dynamics: the trade-off between process analysis and decision support. Advances in integrated weed management, Burleigh Dodds Science Publishing, 2022, 9781786767455. ⟨hal-03687414⟩
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