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Modelling the effects of cropping systems on the dynamics of a parasitic weed, Phelipanche ramosa, in interaction with the non-parasitic weed flora

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HAL Id: hal-01951613

https://hal-agrosup-dijon.archives-ouvertes.fr/hal-01951613

Submitted on 11 Dec 2018

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Modelling the effects of cropping systems on the dynamics of a parasitic weed, Phelipanche ramosa, in

interaction with the non-parasitic weed flora

Nathalie Colbach, Nadia Abdennebi-Abdemessed, Stéphanie Gibot-Leclerc

To cite this version:

Nathalie Colbach, Nadia Abdennebi-Abdemessed, Stéphanie Gibot-Leclerc. Modelling the effects of cropping systems on the dynamics of a parasitic weed, Phelipanche ramosa, in interaction with the non-parasitic weed flora. 21ème Conférence du COLUMA – Journées Internationales sur la Lutte contre les Mauvaises Herbes, Dec 2010, Dijon, France. 2010. �hal-01951613�

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Model structure Model structure Model structure Model structure

(Fig. 1)

processes common to parasitic and non-parasitic weeds were based on FLORSYS (e.g. seed movements during tillage)

stages specific to parasite were based on literature (e.g. seed germination stimulated by host

root exsudates)

FLORSYS output variables are used as PHERASYS input variables

Aim Aim Aim

Aim

. T. T. T. To develop a model (called PHERASYS) of the effects of cropping systems on parasite dynamics, in interaction with non-parasitic weed hosts.

Simulation Simulation Simulation

Simulation results results results results Introduction Introduction Introduction

Introduction

. . . . The current decrease in herbicide use may increase and diversify weed flora in crops as well as companion bioagressors spreading via weeds. Among these bioagressors is Phelipanche ramosa, a parastic plant which is very harmful on oilseed rape.

Modelling Modelling Modelling

Modelling the effects of cropping systems on the the effects of cropping systems on the the effects of cropping systems on the the effects of cropping systems on the dynamics of a parasitic weed,

dynamics of a parasitic weed, dynamics of a parasitic weed,

dynamics of a parasitic weed, Phelipanche Phelipanche Phelipanche Phelipanche ramosa ramosa ramosa ramosa , , , , in interaction with non

in interaction with non in interaction with non

in interaction with non- -- -parasitic weeds parasitic weeds parasitic weeds parasitic weeds

N. COLBACH, N. ABDENNEBI N. ABDENNEBI N. ABDENNEBI N. ABDENNEBI- -- -ABDEMESSED, S. GIBOT ABDEMESSED, S. GIBOT ABDEMESSED, S. GIBOT- ABDEMESSED, S. GIBOT -- -LECLERC LECLERC LECLERC LECLERC

INRA, UMR1210 Biologie et Gestion des Adventices, Dijon, France (Nathalie.Colbach@dijon.inra.fr)

Literature:

Literature:Literature:

Literature:

Colbach N. , Gardarin A., Munier-Jolain (2010) FLORSYS: a mechanistic model of cropping system effects on weed flora based on functional relationships with species traits. Proc. 15th International EWRS Symposium, 12-15 July 2010, Kaposvár, Hungary 157-158

FLORSYS PHERASYS

Seed movements= f(tillage, soil structure) Soil structure and hydrothermal conditions

Crop + weed density Crop + weed root lengths

Phelipanche ramosa plant and seed density Figure 1. Input and output variables of the newly developed PHER

Figure 1. Input and output variables of the newly developed PHER Figure 1. Input and output variables of the newly developed PHER

Figure 1. Input and output variables of the newly developed PHERASYS model ASYS model ASYS model ASYS model predicting the dynamics of the parasitic weeds

predicting the dynamics of the parasitic weeds predicting the dynamics of the parasitic weeds

predicting the dynamics of the parasitic weeds PhelipanchePhelipanchePhelipanchePhelipanche ramosaramosaramosaramosa, in interaction with , in interaction with , in interaction with , in interaction with soil environment and weed variables predicted by the existing FL

soil environment and weed variables predicted by the existing FL soil environment and weed variables predicted by the existing FL

soil environment and weed variables predicted by the existing FLORSYS model ORSYS model ORSYS model ORSYS model developed for non

developed for non developed for non

developed for non----parasitic weeds (parasitic weeds (parasitic weeds (parasitic weeds (ColbachColbachColbachColbachet al.et al.et al.et al., 2010 ), 2010 ), 2010 ), 2010 ) Soil texture Cropping

system Weather

(14 equations) (14 equations) (14 equations) (14 equations)

1.E+04 1.E+05 1.E+06 1.E+07 1.E+08 1.E+09

0 2 4 6 8 10 12 14 16 18 20 22 24 26

P. ramosa seeds/m²

Years since simulation onset

OSR/WW/WB OSR/WW/WB/pea Oilseed rape Winterwheat Winterbarley Oilseed rape Winterwheat Winterbarley Spring pea

Figure 2. Density of Phelipanche ramosasoil seed bank after crop harvest with time simulated with PHERASYS for 2different rotations in the absence of non-parasitic weeds

1.E+04 1.E+05 1.E+06 1.E+07 1.E+08 1.E+09

Reference Diversified rotation

Mouldboard ploughing

No tillage Low density Delayed sowing

P. ramosaseed bank / m²

Simulated cropping systems With

Without

non-parasitic weeds in the field

Figure 3. Phelipanche ramosasoil seed bank before oilseed rape in different cropping systems with an oilseed rape/winter

wheat/winter barley rotation after 12 years of simulation with PHERASYS, either with or without non-parasitic weeds

Conclusion Conclusion Conclusion Conclusion

- Mechanistic models of cropping systems effects on the dynamics of parasitic weeds are feasible - Need for models predicting crop root growth

- Need for knowledge on parasite fixation, emergence and reproduction on different crop and weed species

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