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Modelling crop-weed canopies as a tool to optimise crop diversification in agroecological cropping systems

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HAL Id: hal-02511874

https://hal-agrosup-dijon.archives-ouvertes.fr/hal-02511874

Submitted on 19 Mar 2020

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Modelling crop-weed canopies as a tool to optimise crop diversification in agroecological cropping systems

Nathalie Colbach, Floriane Colas, Stéphane Cordeau, Thibault Maillot, Wilfried Queyrel, Jean Villerd, Delphine Moreau

To cite this version:

Nathalie Colbach, Floriane Colas, Stéphane Cordeau, Thibault Maillot, Wilfried Queyrel, et al.. Mod- elling crop-weed canopies as a tool to optimise crop diversification in agroecological cropping systems.

The Second International Crop Modelling Symposium (iCROPM2020), Feb 2020, Montpellier, France.

�hal-02511874�

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Modelling crop-weed canopies as a tool to optimise crop diversification in agroecological cropping systems

Nathalie Colbach

INRAE - UMR1347 Agroécologie BP 86510, 17 rue Sully

F-21065 Dijon Cedex

Agroécologie, AgroSup Dijon, INRAE, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon

N. Colbach , F. Colas, S. Cordeau, T. Maillot, W. Queyrel, J. Villerd, D. Moreau

Nathalie.Colbach@inrae.fr

Synthesize knowledge on the effects of crop diversification in a 3D individual-based model

www.projet-cosac.fr

www.remix-intercrops.eu iwmpraise.eu

delphinemoreau0.wixsite.com/casdarraid

Aim Evaluate crop diversification and promote agroecological weed management

Method Mechanistic modelling to synthesize knowledge and simulate plant-plant interactions in agroecosystems

Crop traits to regulate weed harmfulness

Before canopy closure

After canopy closure

Occupy space

before other plants

Escape shading by neighbours

272 cropping

systems

Cropping system

Crop diversity

P lou gh M ech a - ni cal w ee di ng Herbi- cides

(TFI)

Yield (1000 MJ/ha)

Weed impact Species &

varieties / 12 years

Winter crops

Cover crop (%

years)

Yield loss

Bee- food offer Conventional 4 100% 8% Yes No 1.6 63 a 50.9 b 2.30 b IWM simplified 18 77% 39% No No 1.7 51 b 58.4 a 2.42 b IWM medium 10 63% 8% Yes No 0.8 54 b 55.3 ab 2.74 a IWM complete 8 55% 0% Yes Yes 0.7 67 a 40.9 c 2.05 c IWM ~ 0 herbicide 12 63% 16% Yes Yes 0.1 69 a 50.5 b 2.10 c

30 years x 10 weather

repetitions

Diversifying crops allows to reduce herbicide use intensity

Systems with the highest crop diversification = highest yield and lowest herbicide use Diversiying crops is not enough to promote weed-based biodiversity (e.g. bee food)

Diversifying crops is not enough to control weeds and ensure crop production

Ergonomic tools What next...

Colas et al 2020 EJA

Colbach N et al (2014). Weed Research 54, 541–555 Colbach N., Gardarin A., Moreau D. (2019) Field

Crops Research 238, 45-55

Colas F. et al (2020) European Journal of Agronomy

Weather

1

0 10 100 1000 10000

Plants/m²

Inputs provided by user

Life cycle Detailled crop and weed outputs (per day, 3D)

Indicators of weed (dis)services

Biodiversity & environment

Soil texture Management

operations Year 1

Year N

Harmfulness for production Production

Plants/m²

1 cylinder = 1 plant (crop or weed)

Daily time-step

Multi-annual simulation

Key modelling points

Plant-plant competition for

resources

Emergence

= f(ecological

needs, season)

Soil legacy for future

crops

Prototypes

Farmers & advisors

Management operations Year 1

Year N

Weather

Soil texture

Simulations

Participatory workshops

Scientists

Virtual

experiments

&

Cropping system

Herbi- cides

(TFI)

Yield (1000 MJ/ha)

Weed impact Yield

loss

Bee- food offer Control 1.6 63 a 50.9 b 2.30 b A 1.7 51 b 58.4 a 2.42 b B 0.8 54 b 55.3 ab 2.74 a IWM 0.7 67 a 40.9 c 2.05 c 0H 0.1 69 a 50.5 b 2.10 c

Multicriteria evaluation

A tool to investigate & promote diversification

Diagnosis

Leaf area distribution

Root biomass and length distribution

Plant x

Plant y

Participatory workshops

Easier use by farmers & advisors

NO YES

NO YES

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