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Background Materials and Methods
Results
Acknowledgements
Conclusions
Novel high-throughput approach in discovering and
understanding the mode of action of plant biostimulants
PlantScreen™
Automated Phenotyping Systems
Plant-derived natural products represent an interesting source of new plant biostimulants. In this trial, selected
candidate substances, protein hydrolysates of plant origin, were tested for their biostimulant activity in tomato
plants (Lycopersicon esculentum) Hybrid F1 CHICCO ROSSO at the whole plant level by image-based in depth analysis
of plant growth and photosynthetic performance. To enhance our understanding on tomato overall performance
following biostimulant application at control and drought conditions, experimental protocol was developed based on
using high-throughput non-invasive imaging technologies developed at Photon Systems Instruments (PSI, Czech
Republic). Range of morpho-physiological phenotypic traits were monitored on daily basis via PlantScreenTM
automated plant phenotyping platform and were used to characterize the mode of action of the selected groups of
biostimulants. Here we present data for control plants treated during growth with 9 different types of biostimulant.
Plant Phenotyping
Research Centre
The mission of the PSI Plant Phenotyping Research
Center (PPRC) is to provide state-of-art infrastructure
for plant cultivation and automated high-throughput
phenotyping of wide range of plant traits.
We offer access to cutting edge instruments and
provide professional support of highly skilled technical
and scientific personnel. PPRC infrastructure is
available for use by visiting scientists and on fee-for-
service basis for a wide range of phenotyping
experiments.
Large-scale walk in chambers for highly precise plant
cultivation.
Fig.2 Phenotyping protocol in PlantScreenTM Modular System incuded RGB analysis for moprhological and
growth analysis, Chlorophyll Fluorescence (ChlF) measurement for photosynthetic performance analysis,
watering and weighing of the pots.
Fig.3 A-B Growth performance and photosynthetic efficiency of tomato plants following the biostimulant application.
Color segmented RGB images (3-A) and ChlFl pictures for Fm (3-B) in false colors are shown. Time refers to days of phenotyping.
Mirella Sorrentino2, Kenny Paul2, Paolo Bonini3, Renaud Canaguier4, Luigi Lucini5, Giuseppe Colla1 and Klára Panzarová2,
1
Department of Agriculture, Forestry, Nature and Energy, University of Tuscia, via San Camillo De Lellis snc, 01100 Viterbo, Italy,
2
PSI (Photon Systems Instruments), spol. s r.o., Drasov, Czech Republic,
3
Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria, Centro di ricerca
per lo studio delle relazioni tra pianta e suolo, via della Navicella 2-4, 00184 Roma, Italy,
4
Nixe laboratory, 06905 Sophia Antipolis Cedex, France,
5
Institute of Environmental and Agricultural Chemistry, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy
European Biostimulants Industry Council (EBIC) defined plant biostimulants as follows: “Plant biostimulant means a material which contains substance(s) whose function when applied to plants or the rhizosphere is
to stimulate natural processes to benefit nutrient uptake, nutrient efficiency, tolerance to abiotic stress, and/or crop quality.” In agreement with this definition, the application of those 9 different biostimulants was
supposed to improve growth performance and optimize the productivity of the tomato plants used in this experiment.
The ANOVA test, performed to recognize significative differences between the volumes of the plants, showed that, at the end of the experiment (day 15), only the tomatoes treated with A, E and H biostimulants were
significantly bigger than the control ones; but, looking at the significance for the Relative Growth Rate of the different plants, was the application of the compounds F and H that caused a steadier RGR if compared to that
of control plants. Various biostimulants have been reported to stimulate plant growth not only by increasing plant metabolism, stimulating germination, and increasing the absorption of nutrients from the soil, but also
enhancing photosynthesis; next, we will analyze chlorophyll fluorescence data for the evaluation of photosynthetic efficiency and we will correlate the data with the growth performance results we obtained.
PlantScreen™ Compact System for automated
phenotyping of up to 320 small- and mid-size scale
plants in controlled environment.
PlantScreen™ Modular System for automated
phenotyping of 270 plants up to 1.5 m in height in
greenhouse environment.
www.psi.cz
Fig.4A-B The volumes of the plants have been calculated using the total number of green pixels (shoot area) from the images
acquired both by top view RGB camera and by multiple angles image acquisition from side view RGB camera.
Fig.1 Plant cultivation and automated phenotyping protocol
CULTIVATION IN FS - WI
BIOSTIMULANT
APPLICATION
BIOSTIMULANT
APPLICATION
PHENOTYPIC ANALYSIS
DAY 1- 40
DAY 26 DAY 33
DAY 22 - 38
EXPERIMENT TIMELINE
PlantScreen™ Modular System
CHLOROPHYLL FLUORESCENCE IMAGING RGB IMAGING
WEIGHING AND WATERING STATION
A)
B)
C)
A)
B)
C)
(Semi)Automated PlantScreen™ Field Systems
designed for field application and precision farming.
CULTIVATION IN WALK-IN FYTOSCOPE FS-WI
WEIGHING AND
WATERING UNIT
ADAPTATION TUNNEL
PHENOTYPING IN CONTROL CONDITIONS
RGB IMAGING
TOP VIEW
SIDE VIEW
TOP VIEW
ChlF IMAGING
This work was carried out at PPRC at Photon Systems Instruments (Czech Republic) with partial financial support from
Italpollina S.p.A., Rivoli Veronese, Italy. This work was supported by European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie grant agreement No 675006.
Contact: sorrentino@psi.cz
Following stratification in 4°C, seeds were placed into controlled environment (Step-in FytoScope
FS-SI) and kept at 22°C, 60% Rh and 250 μmol/m2/s with 16h/8h light/dark regime. Prior
initiation of phenotyping, plants were watered on day 6, 7, 12 and 14 after placement into the light.
On day 7 and 14, plants were watered to full saturation with a fertilizer. 20 days old plants were
transplanted into 3L pots. 22 days old plants were transferred to PlantScreenTM Modular System
with 6 replicas per treatment. 9 types of biostimulants (A-I) plus control group were applied twice
to tomato plants by spraying (at 26 days and 33 days old plants). Prior and following the
biostimulant application plants were regularly screened using the calibrated top and side view RGB
camera and kinetic chlorophyll fluorescence camera for photosynthetic performance
quantification. Plants were regularly watered using the automated watering and weighing station.
0,00E+00
5,00E+07
1,00E+08
1,50E+08
2,00E+08
2,50E+08
3,00E+08
1 3 6 8 10 13 15
Volume
(px)
Days of phenotyping
Volume
Control A B C D E F G H I
0,00E+00
5,00E+06
1,00E+07
1,50E+07
2,00E+07
2,50E+07
Control A B C D E F G H I
RGR
(pixel/day)
Treatments
Relative Growth Rate (Day of Phenotyping 1-15)
a
ab
abc
abc
abc
abc
abc
c
bc
bc
Different letters refer to significative different values, according to ANOVA (p<0.05)
Conclusions

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Poster tomato IPAP 2018.pdf

  • 1. Background Materials and Methods Results Acknowledgements Conclusions Novel high-throughput approach in discovering and understanding the mode of action of plant biostimulants PlantScreen™ Automated Phenotyping Systems Plant-derived natural products represent an interesting source of new plant biostimulants. In this trial, selected candidate substances, protein hydrolysates of plant origin, were tested for their biostimulant activity in tomato plants (Lycopersicon esculentum) Hybrid F1 CHICCO ROSSO at the whole plant level by image-based in depth analysis of plant growth and photosynthetic performance. To enhance our understanding on tomato overall performance following biostimulant application at control and drought conditions, experimental protocol was developed based on using high-throughput non-invasive imaging technologies developed at Photon Systems Instruments (PSI, Czech Republic). Range of morpho-physiological phenotypic traits were monitored on daily basis via PlantScreenTM automated plant phenotyping platform and were used to characterize the mode of action of the selected groups of biostimulants. Here we present data for control plants treated during growth with 9 different types of biostimulant. Plant Phenotyping Research Centre The mission of the PSI Plant Phenotyping Research Center (PPRC) is to provide state-of-art infrastructure for plant cultivation and automated high-throughput phenotyping of wide range of plant traits. We offer access to cutting edge instruments and provide professional support of highly skilled technical and scientific personnel. PPRC infrastructure is available for use by visiting scientists and on fee-for- service basis for a wide range of phenotyping experiments. Large-scale walk in chambers for highly precise plant cultivation. Fig.2 Phenotyping protocol in PlantScreenTM Modular System incuded RGB analysis for moprhological and growth analysis, Chlorophyll Fluorescence (ChlF) measurement for photosynthetic performance analysis, watering and weighing of the pots. Fig.3 A-B Growth performance and photosynthetic efficiency of tomato plants following the biostimulant application. Color segmented RGB images (3-A) and ChlFl pictures for Fm (3-B) in false colors are shown. Time refers to days of phenotyping. Mirella Sorrentino2, Kenny Paul2, Paolo Bonini3, Renaud Canaguier4, Luigi Lucini5, Giuseppe Colla1 and Klára Panzarová2, 1 Department of Agriculture, Forestry, Nature and Energy, University of Tuscia, via San Camillo De Lellis snc, 01100 Viterbo, Italy, 2 PSI (Photon Systems Instruments), spol. s r.o., Drasov, Czech Republic, 3 Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria, Centro di ricerca per lo studio delle relazioni tra pianta e suolo, via della Navicella 2-4, 00184 Roma, Italy, 4 Nixe laboratory, 06905 Sophia Antipolis Cedex, France, 5 Institute of Environmental and Agricultural Chemistry, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy European Biostimulants Industry Council (EBIC) defined plant biostimulants as follows: “Plant biostimulant means a material which contains substance(s) whose function when applied to plants or the rhizosphere is to stimulate natural processes to benefit nutrient uptake, nutrient efficiency, tolerance to abiotic stress, and/or crop quality.” In agreement with this definition, the application of those 9 different biostimulants was supposed to improve growth performance and optimize the productivity of the tomato plants used in this experiment. The ANOVA test, performed to recognize significative differences between the volumes of the plants, showed that, at the end of the experiment (day 15), only the tomatoes treated with A, E and H biostimulants were significantly bigger than the control ones; but, looking at the significance for the Relative Growth Rate of the different plants, was the application of the compounds F and H that caused a steadier RGR if compared to that of control plants. Various biostimulants have been reported to stimulate plant growth not only by increasing plant metabolism, stimulating germination, and increasing the absorption of nutrients from the soil, but also enhancing photosynthesis; next, we will analyze chlorophyll fluorescence data for the evaluation of photosynthetic efficiency and we will correlate the data with the growth performance results we obtained. PlantScreen™ Compact System for automated phenotyping of up to 320 small- and mid-size scale plants in controlled environment. PlantScreen™ Modular System for automated phenotyping of 270 plants up to 1.5 m in height in greenhouse environment. www.psi.cz Fig.4A-B The volumes of the plants have been calculated using the total number of green pixels (shoot area) from the images acquired both by top view RGB camera and by multiple angles image acquisition from side view RGB camera. Fig.1 Plant cultivation and automated phenotyping protocol CULTIVATION IN FS - WI BIOSTIMULANT APPLICATION BIOSTIMULANT APPLICATION PHENOTYPIC ANALYSIS DAY 1- 40 DAY 26 DAY 33 DAY 22 - 38 EXPERIMENT TIMELINE PlantScreen™ Modular System CHLOROPHYLL FLUORESCENCE IMAGING RGB IMAGING WEIGHING AND WATERING STATION A) B) C) A) B) C) (Semi)Automated PlantScreen™ Field Systems designed for field application and precision farming. CULTIVATION IN WALK-IN FYTOSCOPE FS-WI WEIGHING AND WATERING UNIT ADAPTATION TUNNEL PHENOTYPING IN CONTROL CONDITIONS RGB IMAGING TOP VIEW SIDE VIEW TOP VIEW ChlF IMAGING This work was carried out at PPRC at Photon Systems Instruments (Czech Republic) with partial financial support from Italpollina S.p.A., Rivoli Veronese, Italy. This work was supported by European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 675006. Contact: sorrentino@psi.cz Following stratification in 4°C, seeds were placed into controlled environment (Step-in FytoScope FS-SI) and kept at 22°C, 60% Rh and 250 μmol/m2/s with 16h/8h light/dark regime. Prior initiation of phenotyping, plants were watered on day 6, 7, 12 and 14 after placement into the light. On day 7 and 14, plants were watered to full saturation with a fertilizer. 20 days old plants were transplanted into 3L pots. 22 days old plants were transferred to PlantScreenTM Modular System with 6 replicas per treatment. 9 types of biostimulants (A-I) plus control group were applied twice to tomato plants by spraying (at 26 days and 33 days old plants). Prior and following the biostimulant application plants were regularly screened using the calibrated top and side view RGB camera and kinetic chlorophyll fluorescence camera for photosynthetic performance quantification. Plants were regularly watered using the automated watering and weighing station. 0,00E+00 5,00E+07 1,00E+08 1,50E+08 2,00E+08 2,50E+08 3,00E+08 1 3 6 8 10 13 15 Volume (px) Days of phenotyping Volume Control A B C D E F G H I 0,00E+00 5,00E+06 1,00E+07 1,50E+07 2,00E+07 2,50E+07 Control A B C D E F G H I RGR (pixel/day) Treatments Relative Growth Rate (Day of Phenotyping 1-15) a ab abc abc abc abc abc c bc bc Different letters refer to significative different values, according to ANOVA (p<0.05) Conclusions