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Impact of three lateral root types identified in pearl millet on water uptake

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Academic year: 2021

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Low A High A Mean Reference Cr own LR ms

Passot S.

1*

, Meunier F.

2

, Couvreur V.

1

, Muller B.

3

, Javaux M.

2

, Draye X.

1

, Guédon Y.

4

, Laplaze L.

5,6

1Earth and Life Institute - Agronomy, UCL, Louvain-la-Neuve, Belgium 2Earth and Life Institute - Environment, UCL, Louvain-la-Neuve, Belgium 3LEPSE, INRA, Montpellier, France 4AGAP, Cirad, Montpellier, France 5DIADE, IRD, Montpellier, France 6LMI LAPSE, IRD, Dakar, Senegal

* sixtine.passot@uclouvain.be

Digitalization with SmartRoot

Explicit cross section hydraulics

Root anatomy Haagen-Poiseuille law Growth conditions:

Sandy soil, initially wet, transpiration of 40cm3/day

RootTyp

Context Diversity has been observed in the anatomy and growth patterns of lateral roots in cereals. This may impact water uptake and could therefore

increase cereal performances under drought. This study focuses on pearl millet, a key crop for food security especially tolerant to drought.

Objectives The objective was to provide an integrated description of pearl millet lateral root development at early stages and to assess the impact of

the existing diversity among lateral roots on water uptake using simulations.

Material and methods

Simulations were done with reference architecture, with extreme observed proportions of LRs and with a

synthetic “mean + sd” homogeneous behavior for all LRs. Transpiration is fixed (40cm³/d) while Ψ (water potential) at the collar depends on the ability of the root system to take up water.

Root development dynamics Phenotyping in rhizotron Digitalization Radial conductance Axial conductance Water uptake simulation with R-SWMS Simulation of root system architecture CellSet

Low A High A Mean Ref.

LRA 0.05 0.21 0 0.14 LRB 0.18 0.30 0 0.24 LRC 0.77 0.49 0 0.62 LRms 0 0 1 0 Simulated root systems (RootTyp) Conclusion

Three types of LRs identified in pearl millet based on growth

profiles & anatomy

 Existence of three distinct

types would delay drought sress

Largest LRs contribute the most to water uptake and their

contribution reaches a plateau

around the usually observed proportions of LRs In the lab In silico Transversal sections Results

Using a semi-Markov switching linear model lateral root (LR) growth profiles cluster into three groups.

0 0.05 0.1 0 10 20 30 0 0.02 0.04 0.06 0 10 20 30 40 0 0.1 0.2 0.3 0 10 end B C 0.14 0.24 0.52 0.10 A 14 . 0 ˆ , 17 . 0 ˆ , 6 . 0 ˆA  B  C   0 10 20 30 1 3 5 7 9 A B C end E st im at ed g ro w th rat e (m m .day -1 )

Growth duration (days)

Three distinct LR anatomies were found which correlate with groups based on growth profiles

Plants with only one type of LRs would

experience drought earlier than those with three types, regardless of proportions

1 2 3 Crown root Scale bar: 100μm Scale bar: 20μm

Passot, S., Gnacko, F., Moukouanga, D., et al. (2016). Characterization of Pearl Millet Root Architecture and Anatomy Reveals Three Types of Lateral Roots. Front. Plant Sci. 7, 1–11.

Pagès, L., Vercambre, G., Drouet, JL., et al. (2004) Root Typ: a generic model to depict and analyse the root system architecture. Plant and Soil 258: 103. Lobet, G., Pagès, L., and Draye, X. (2011). A novel image-analysis toolbox enabling quantitative analysis of root system architecture. Plant Physiol. 157, 29–39.

Javaux, M., Schroder, T., Vanderborght, J., and Vereecken, H. (2008) Use of a three-dimensional detailed modelling approach for predicting root water uptake, Vadose Zone J. 7, 1079–1088.

Simulations indicate that LRA take up most of water. Further simulations show that this

contribution to water uptake reaches a plateau around the observed proportion of LRA. Ø 100 μm, 2 periph XTE

Ø 250 μm, 1 central + 3 periph XTE

Ø 380 μm, 1 central + 7 periph XTE, aerenchyma

0 10 20 30 40 50 0 50 100 150 Cen tr al XTE Diam et er (μ m) Stele Diameter (μm) Type A Type B Type C

W at er up tak e b y A LR (cm 3 /d) Proportion of LRA Observed range mean with 0 < %A < 50%, %A < %B & 0 < B Low A High A Mean Reference [days] 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7

Low A High A Mean Reference

R oot sy st em condu ct anc e (c m³ /hP a/ d)

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