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Real-time spatial analysis of root water uptake in rhizotrons

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Academic year: 2021

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Preliminary results and

current studies

Preliminary results

-Experiments reveal a localized uptake zone moving downwards (fig. 5) during a water deficit episode

-Simulations indicate a strong influence of the soil on the water uptake behavior.

Current studies

Different genotypes and techniques are currently being tested: - lrt1 : lateral rootless mutant (Hochholdinger et al. 1998)

- ZmPIP2:5 : mutant lacking the aquaporin ZmPIP2:5 (Hachez et al, 2006) - Use of GPR (Ground Penetrating Radar) and infrared light.

fig 5: Evolution of soil water content during a water deficit episode with a

30-day old maize root system. Time-step between images is 2 hours.

Real-time spacial analysis of root water

uptake in rhizotrons

Lobet, G.¹ , Couvreur, V. ², Javaux, M.², Pagès, L. ³, Chaumont, F.⁴ and Draye, X.¹.

1. Crop Physiology and Plant Breeding, Université catholique de Louvain, Croix du Sud 2-11, 1348 Louvain-la-Neuve, Belgium

2. Environmental Sciences and Land Use Planning, Université catholique de Louvain, Croix du Sud 2-2, 1348 Louvain-la-Neuve, Belgium 3. Plantes et systèmes horticoles, INRA, Domaine Saint Paul - Site Agroparc - 84914 Avignon Cedex 9, France

4. Physiological Biochemistry, Université catholique de Louvain, Croix du Sud 5-15, 1348 Louvain-la-Neuve, Belgium

Conclusions

This new experimental platform allows:

-to record a large volume of root data...

-to record the evolution of the 2D water content

-to compare the water uptake behavior of various genotypes

By combining these dynamic data in a mathematical modeling framework, one can test various hypotheses implemented in the models. As models reflect a

vision of current knowledge, this methodology enables to identify gaps. Models

and experimental data can also be used to estimate hidden parameters by means of inverse modeling.

Drought is becoming a major constraint on crop

production worldwide. Water availability sets the limits for transpiration and is reflected in the evolution of

stomatal conductance throughout plant life, which affects photosynthesis and yield. These effects are

critical at given phenological stages, such as flowering and grain filling in maize, and may have irreversible

effects on yield. It is therefore important to improve the ability of plants to use and take up water in their cropping environment.

We present here a phenotyping platform designed to analyse various aspects of root systems architecture and dynamics and how they interfere with soil water uptake, in a quantitative framework.

Introduction

References

Doussan et al. [1998], Annals of Bot. 81, 213-223 Garrigues et al [2006], Plant and Soil 283, 83-98 Hachez et al [2006], Plant Mol. Biol. 62, 305-323

Hochholdinger et al. [1998], Pl. Journ. 16 (2), 247-255

Models: Root model / R-SWIMS

fig 3: Root model

(a) Simulated root system architecture. (b) Internal topological structure of the model

The root model simulates the growth and development of the root system

in 3D. Each segment is characterized by given axial and radial

conductivities.

The R-SWMS model simulates water dynamics in a 3D system comprising

roots and the soil. Water flows in this composite model are computed

following Doussan et al. (1998).

The methodology consists in testing assumptions built in the models by

comparing their simulated output (predictions) with experimental data.

Experimental platform

Several maize genotypes are grown in 2D-rhizotrons

(fig. 1) designed to allow 2D monitoring of soil water

content by light transmission imaging (Guarrigues et al)

(fig. 2).

Hydraulic properties of the substrate are precisely

characterized and quantitatively linked with the light

transmission behavior.

fig 2: Light transmission imaging

experimental set-up.

LIGHT BOX

CCD CAMERA

WATER CONTENT IMAGE 4 mm 500 mm 500 mm RHIZOTRON LIGHT fig 1: Rhizotrons

The size of our rhizotrons is 500x500x4 mm

fig 4: Water content

profile generated by the R-SWIMS model.

These figures show the water content of the soil at

two different time step..

!xyl !soil !soil Kh Kh Lr Lr !xyl !xyl !soil Kh Lr !xyl !soil Kh Lr !xyl !soil !soil Kh Kh Lr Lr !xyl !xyl !soil Kh Lr

(a)

(b)

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