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Modelling cropping system effects on branched broomrape dynamics in interaction with weeds

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HAL Id: hal-01985100

https://hal.archives-ouvertes.fr/hal-01985100

Submitted on 17 Jan 2019

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Modelling cropping system effects on branched broomrape dynamics in interaction with weeds

Olivia Pointurier, Stéphanie Gibot-Leclerc, Delphine Moreau, Henri Darmency, Nathalie Colbach

To cite this version:

Olivia Pointurier, Stéphanie Gibot-Leclerc, Delphine Moreau, Henri Darmency, Nathalie Colbach.

Modelling cropping system effects on branched broomrape dynamics in interaction with weeds. 7.

International Weed Science Congress, Jun 2016, Prague, République tchèque. 7. International Weed Science Congress, 2016. �hal-01985100�

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Modelling cropping system effects on branched broomrape dynamics in interaction with weeds

Olivia Pointurier, Stéphanie Gibot-Leclerc, Delphine Moreau, Henri Darmency, Nathalie Colbach

Agroécologie, AgroSup Dijon, INRA, Univ. Bourgogne Franche-Comté, F-21000 Dijon, France Nathalie.Colbach@dijon.inra.fr

Branched broomrape (Phelipanche ramosa (L.) Pomel) is a parasitic plant that infects many crop and weed species. It is a major pest of winter oilseed rape in France.

Objectives : To model the effects of cropping systems on P. ramosa dynamics in interaction with weeds and crops in order to design efficient pest management strategies.

Materials & Methods

Process-based modelling of P. ramosa dynamics as a succession of processes of its life-cycle

Daily time-step

Functions and parameters based on literature and experiments

Gibot-Leclerc et al. 2012

Discussion

PHERASYS points to potential management improvements:

P. ramosa seeds display dormancy during winter delayed crop sowing could reduce infestation

− Very low annual seed mortality (6-8%) burying seeds by soil tillage does not deplete seed bank

Perspectives: to validate the model with field data and to predict parasite effect on crop yield

Results

PHERASYS = model of

PHElipanche RAmosa dynamics in cropping SYStems

in interaction with weeds

Process Modelled as a function of Example 1 In situ seed

mortality

Time since seed rain

Seed age

2 Seed

dormancy

Days since seed rain

Soil temperature and water potential

3 Germination

(stimulated by host root exsudates)

Stimulating species

Distance from host root

Hydrothermal time (HTT) since stimulation

4 Attachment

on host root

Distance from host root

5 Survival on the host to fructification

Nb. of parasites attached on the host

Host biomass

6 Seed

production and release

Parasite biomass

Seed/total biomass ratio

P. ramosa life cycle

Nb parasites at fructification (per host)

Aboveground parasite biomass (g per individual)

Nb parasites at fructification (per host)

Host biomass (g)

Seedviabilityrate

Time since seed rain (yr)

May March

Jan.

Nov.

Sept.

July

Germination rate

Days since seed rain Dormancy

Germination rate

HTT since stimulation

(°C.j.Mpa)

ID: 585

References

Gibot-Leclerc, S., Sallé, G., Reboud, X. &Moreau, D. (2012). Flora 207: 512-521.

Moreau, D., Gibot-Leclerc, S., Girardin, A., Pointurier, O., Reibel, C., Strbik, F., Fernandez-Aparicio, M. &Colbach, N. (in revision). Frontiers in Plant Science.

Pointurier, O. (2015). Master thesis, Montpellier SupAgro, Agrocampus Ouest, AgroParisTech. 64 p.

Grants

APR 2011- Ecophyto 2018 “Assessing and reducing environmental risks from plant

protection products” funded by the French Ministries in charge of Ecology and Agriculture

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