HAL Id: hal-01229560
https://hal.archives-ouvertes.fr/hal-01229560
Submitted on 6 Dec 2016
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High throughput estimation of incident light, light interception and radiation-use efficiency of thousands of
plants in a phenotyping platform
Llorenç Cabrera Bosquet, Christian Fournier, Claude Welcker, Benoit Suard, Francois Tardieu
To cite this version:
Llorenç Cabrera Bosquet, Christian Fournier, Claude Welcker, Benoit Suard, Francois Tardieu. High
throughput estimation of incident light, light interception and radiation-use efficiency of thousands
of plants in a phenotyping platform. EPPN Plant Phenotyping Symposium, Nov 2015, Barcelona,
Spain. 2015. �hal-01229560�
(iii) Intercepted PPFD
The amount of intercepted PPFD per plant is estimated for each plant and each day via theRATP2functional-structural plant model that calculates interception in 20x20 cm voxels of the canopy using leaf area and architecture of each plant and of its neighbours and the local amount of light calculated using the light maps.
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1Monteith JL. 1977. Phil. Trans. R. Soc. London, B, 281: 277-294.
2Sinoquet et al. 2001. Plant, Cell & Environment, 24: 395–406.
High throughput estimation of incident light, light interception and radiation- use efficiency of thousands of plants in a phenotyping platform
Llorenç Cabrera-Bosquet, Christian Fournier, Claude Welcker, Benoît Suard and François Tardieu
INRA, UMR759, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, F- 34060 Montpellier, FranceRationale
Results
A major limiting step in phenotyping is the availability of methods for extracting information from massive phenotypic data, thereby generating variables usable in genetic analyses or in modelling. One of the major difficulty in these analyses is the genotype by environment (G×E) interaction. Experiments in phenotyping platforms can serve to dissect the complex phenotype into traits that have a high heritability and a high reproducibility. For instance, biomass accumulation can be expressed as a function of the incident light, the fraction of light intercepted by the crop and the efficiency in which light is converted to biomass, radiation use efficiency (RUE)1. Here we aimed to develop a non-invasive procedure to measure light interception andRUEin hundreds of maize lines in the PHENOARCH high-throughput phenotyping platform.
Methods
1. A mini-panel of 27 maize (Zea mays L.) inbred lines with tropical origins maximising the genetic variability were used in this study. Two greenhouse experiments were conducted during autumn and winter-spring time.2. Different models were interfaced in order to calculate the amount of light intercepted by each plant of the platform:
PHENOARCH platform at LEPSE, Montpellier (http://bioweb.supagro.inra.fr/phenoarch)
(ii) Leaf area and plant architecture over time
Leaf area (a), foliage inclination (b) and 3D reconstruction of plants (c) over time are estimated from plant images taken from 13 orthogonal views.
0.00.10.20.30.4
La Posta Seq C7-F64-2-6-2-2-B-B DTPWC9-F31-1-3-1-1-B-B KUI3
Leaf area (m²)
20 40 60 80
354555
Thermal time (d20ºC)
Foliage inclination(θ)
(a)
(b)
(c)
(i) Local available light
The amount of light reaching each plant of the platform is estimated using light gradient maps constructed using hemispherical images
The methods presented here allowed dissecting the differences between experiments into:
(i) Genotypic traits that did not differ between experiments but had a high genetic variability, namely plant architecture and RUE.
(ii) Environmental differences, essentially incident light, that affected both biomass and leaf area.
(iii) Plant traits that differed between experiments due to environmental variables, in particular leaf growth.
DTPWC9-F31
LPS C7-F64 KUI3
Detail of three contrasted studied maize lines
• Biomass and leaf area differed between experiments showing a high G×E interaction. On the contrary, genotypic plant leaf angle values were highly conserved between experiments, showing a high heritability.
• Difference in biomass between experiments was entirely accounted for by the difference in intercepted light. Hence, the mean RUE was common to both experiments and genotypes ranked similarly.
0 6 12 18 24
21 Dec (e)
0 6 12 18 24
20 Mar (f)
0 6 12 18 24
21 Jun (g)
0 6 12 18 24
22 Sep (h)
015304560
Hour
Transmission (%) Intercepted light (molPPFD plant-1)
35 days after sowing
50 days after sowing
Conclusions
Biomass (g FW plant−1 )
15 35 55 75
0100200300
(a)
Mean Autumn Mean Winter 0 100 200 300
0100200300
Biomass winter
Biomass autumn
1:1 R2=0.61
(b)
Thermal time (d20ºC)
0 2 4 6
0100200300
(e)
IPAR (MJ plant−1)
Biomass (g FW plant−1 )
RUEa = 39.7 g FW MJ−1 RUEw = 39.1 g FW MJ−1
30 40 50
304050
RUE winter
RUE autumn
1:1 R2=0.72
(f)
IPPFD(MJ plant-1)
