C. Bock, G. Poole, P. Parker, and T. Gottwald, Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging, Critical Reviews in Plant Sciences, vol.81, issue.2, pp.59-107, 2010.
DOI : 10.2135/cropsci2006.05.0335

J. Poland and R. Nelson, In the Eye of the Beholder: The Effect of Rater Variability and Different Rating Scales on QTL Mapping, Phytopathology, vol.101, issue.2, pp.290-298, 2011.
DOI : 10.1094/PHYTO-03-10-0087

C. Bock, P. Parker, A. Cook, and T. Gottwald, Visual Rating and the Use of Image Analysis for Assessing Different Symptoms of Citrus Canker on Grapefruit Leaves, Plant Disease, vol.92, issue.4, pp.530-571, 2008.
DOI : 10.1094/PDIS-92-4-0530

R. Sherwood, C. Berg, M. Hoover, and K. Zeiders, Illusions in Visual Assessment of Stagonospora Leaf Spot of Orchardgrass, Phytopathology, vol.73, issue.2, pp.173-177, 1983.
DOI : 10.1094/Phyto-73-173

C. Rousseau, É. Belin, E. Bove, D. Rousseau, F. Fabre et al., High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis, Plant Methods, vol.9, issue.1, p.17, 2013.
DOI : 10.1093/bioinformatics/btq046

URL : https://hal.archives-ouvertes.fr/inserm-00837088

W. Xie, K. Yu, K. Pauls, and A. Navabi, Application of Image Analysis in Studies of Quantitative Disease Resistance, Exemplified Using Common Bacterial Blight???Common Bean Pathosystem, Phytopathology, vol.102, issue.4, pp.434-476, 2012.
DOI : 10.1094/PHYTO-06-11-0175

Y. Chéné, D. Rousseau, P. Lucidarme, J. Bertheloot, V. Caffier et al., On the use of depth camera for 3D phenotyping of entire plants, Computers and Electronics in Agriculture, vol.82, pp.122-129, 2012.
DOI : 10.1016/j.compag.2011.12.007

J. Pace, N. Lee, H. Naik, B. Ganapathysubramanian, and T. Lübberstedt, Analysis of Maize (Zea mays L.) Seedling Roots with the High-Throughput Image Analysis Tool ARIA (Automatic Root Image Analysis), PLoS ONE, vol.32, issue.9, p.108255, 2014.
DOI : 10.1371/journal.pone.0108255.s002

W. Green, S. Little, C. Price, S. Wing, S. Smith et al., Reading the Leaves: A Comparison of Leaf Rank and Automated Areole Measurement for Quantifying Aspects of Leaf Venation, Applications in Plant Sciences, vol.2, issue.8, pp.1-14, 2014.
DOI : 10.3732/apps.1400005.s2

M. Sighicelli and M. Guarneri, Assessing the poplar photochemical response to high zinc concentrations by image processing and statistical approach, Photosynthesis Research, vol.197, issue.17, pp.315-337, 2014.
DOI : 10.1007/s11120-014-0028-2

A. Mishra, K. Mishra, I. Höermiller, A. Heyer, and L. Nedbal, accessions, Plant Signaling & Behavior, vol.54, issue.2, pp.301-311, 2011.
DOI : 10.1023/A:1010729821876

J. Green, H. Appel, E. Rehrig, J. Harnsomburana, J. Chang et al., PhenoPhyte: a flexible affordable method to quantify 2D phenotypes from imagery, Plant Methods, vol.8, issue.1, p.45, 2012.
DOI : 10.2307/2656636

D. Vylder, J. Vandenbussche, F. Hu, Y. Philips, W. Van-der-straeten et al., Rosette Tracker: An Open Source Image Analysis Tool for Automatic Quantification of Genotype Effects, PLANT PHYSIOLOGY, vol.160, issue.3, pp.1149-59, 2012.
DOI : 10.1104/pp.112.202762

A. Whan, A. Smith, C. Cavanagh, J. Ral, L. Shaw et al., GrainScan: a low cost, fast method for grain size and colour measurements, Plant Methods, vol.10, issue.1, p.23, 2014.
DOI : 10.1186/1746-4811-10-23

J. Zhou, T. Spallek, C. Faulkner, and S. Robatzek, CalloseMeasurer: a novel software solution to measure callose deposition and recognise spreading callose patterns, Plant Methods, vol.8, issue.1, p.49, 2012.
DOI : 10.1111/j.1399-3054.1962.tb08052.x

E. Bauriegel, A. Giebel, and W. Herppich, Hyperspectral and Chlorophyll Fluorescence Imaging to Analyse the Impact of Fusarium culmorum on the Photosynthetic Integrity of Infected Wheat Ears, Sensors, vol.11, issue.12, pp.3765-79, 2011.
DOI : 10.3390/s110403765

É. Belin, D. Rousseau, T. Boureau, and V. Caffier, Thermography versus chlorophyll fluorescence imaging for detection and quantification of apple scab, Computers and Electronics in Agriculture, vol.90, pp.159-63, 2013.
DOI : 10.1016/j.compag.2012.09.014

URL : https://hal.archives-ouvertes.fr/hal-00845915

S. Berger, Z. Benediktyová, K. Matou?, K. Bonfig, M. Mueller et al., Visualization of dynamics of plant???pathogen interaction by novel combination of chlorophyll fluorescence imaging and statistical analysis: differential effects of virulent and avirulent strains of P. syringae and of oxylipins on A. thaliana, Journal of Experimental Botany, vol.58, issue.4, pp.797-806, 2007.
DOI : 10.1093/jxb/erl208

L. Chaerle, D. Hagenbeek, D. Bruyne, E. Valcke, R. Van-der-straeten et al., Thermal and Chlorophyll-Fluorescence Imaging Distinguish Plant-Pathogen Interactions at an Early Stage, Plant and Cell Physiology, vol.45, issue.7, pp.887-96, 2004.
DOI : 10.1093/pcp/pch097

M. Pérez-bueno, M. Ciscato, M. Vandeven, I. García-luque, R. Valcke et al., Imaging viral infection: studies on Nicotiana benthamiana plants infected with the pepper mild mottle tobamovirus, Photosynthesis Research, vol.163, issue.2, pp.111-134, 2006.
DOI : 10.1007/s11120-006-9098-0

M. Pineda, J. Olejní?ková, L. Cséfalvay, and M. Barón, Tracking viral movement in plants by means of chlorophyll fluorescence imaging, Journal of Plant Physiology, vol.168, issue.17, pp.2035-2075, 2011.
DOI : 10.1016/j.jplph.2011.06.013

N. Woo, M. Badger, and B. Pogson, A rapid, non-invasive procedure for quantitative assessment of drought survival using chlorophyll fluorescence, Plant Methods, vol.4, issue.1, p.27, 2008.
DOI : 10.1186/1746-4811-4-27

A. Mishra, A. Heyer, and K. Mishra, Chlorophyll fluorescence emission can screen cold tolerance of cold acclimated Arabidopsis thaliana accessions, Plant Methods, vol.10, issue.1, p.38, 2014.
DOI : 10.1109/34.824819

L. Chaerle and D. Van-der-straeten, Seeing is believing: imaging techniques to monitor plant health, Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression, vol.1519, issue.3, pp.153-66, 2001.
DOI : 10.1016/S0167-4781(01)00238-X

S. Sankaran, A. Mishra, R. Ehsani, and C. Davis, A review of advanced techniques for detecting plant diseases, Computers and Electronics in Agriculture, vol.72, issue.1, pp.1-13, 2010.
DOI : 10.1016/j.compag.2010.02.007

L. Rodríguez-moreno, M. Pineda, J. Soukupová, A. Macho, C. Beuzón et al., Early detection of bean infection by Pseudomonas syringae in asymptomatic leaf areas using chlorophyll fluorescence imaging, Photosynthesis Research, vol.18, issue.1, pp.27-35, 2008.
DOI : 10.1007/s11120-007-9278-6

M. Pérez-bueno, M. Pineda, E. Díaz-casado, and M. Barón, Spatial and temporal dynamics of primary and secondary metabolism in Phaseolus vulgaris challenged by Pseudomonas syringae, Physiol Plant, 2015.

N. Baker, Chlorophyll Fluorescence: A Probe of Photosynthesis In Vivo, Annual Review of Plant Biology, vol.59, issue.1, pp.89-113, 2008.
DOI : 10.1146/annurev.arplant.59.032607.092759

E. Gorbe and A. Calatayud, Applications of chlorophyll fluorescence imaging technique in horticultural research: A review, Scientia Horticulturae, vol.138, pp.24-35, 2012.
DOI : 10.1016/j.scienta.2012.02.002

N. Baker and E. Rosenqvist, Applications of chlorophyll fluorescence can improve crop production strategies: an examination of future possibilities, Journal of Experimental Botany, vol.55, issue.403, pp.1607-1628, 2004.
DOI : 10.1093/jxb/erh196

J. Bresson, F. Vasseur, M. Dauzat, M. Labadie, F. Varoquaux et al., Interact to Survive: Phyllobacterium brassicacearum Improves Arabidopsis Tolerance to Severe Water Deficit and Growth Recovery, PLoS ONE, vol.41, issue.9, pp.1-12, 2014.
DOI : 10.1371/journal.pone.0107607.s001

URL : https://hal.archives-ouvertes.fr/hal-01123378

K. Mishra, R. Iannacone, A. Petrozza, A. Mishra, N. Armentano et al., Engineered drought tolerance in tomato plants is reflected in chlorophyll fluorescence emission, Plant Science, vol.182, pp.79-86, 2012.
DOI : 10.1016/j.plantsci.2011.03.022

D. Cameron, J. Geniez, W. Seel, and L. Irving, Suppression of Host Photosynthesis by the Parasitic Plant Rhinanthus minor, Annals of Botany, vol.101, issue.4, pp.573-581, 2008.
DOI : 10.1093/aob/mcm324

G. Mauromicale, A. Monaco, and A. Longo, Effect of Branched Broomrape (Orobanche ramosa) Infection on the Growth and Photosynthesis of Tomato, Weed Science, vol.50, issue.04, pp.574-81, 2008.
DOI : 10.1046/j.1365-3040.1997.d01-87.x

L. Li, X. Xu, Y. Sun, W. Han, and P. Tu, Effects of parasitic plant <I>Cistanche deserticola</I> on chlorophyll a fluorescence and nutrient accumula-tion of host plant <I>Haloxylon ammodendron</I> in the Taklimakan Desert, Journal of Arid Land, vol.4, issue.3, pp.342-350, 2012.
DOI : 10.3724/SP.J.1227.2012.00342

C. Parker, problems worldwide, Pest Management Science, vol.122, issue.5, pp.453-462, 2009.
DOI : 10.1002/ps.1713

D. Joel, J. Hershenhorn, H. Eizenberg, R. Aly, G. Ejeta et al., Biology and Management of Weedy Root Parasites, Hortic RevAm Soc Hortic Sci), vol.33, pp.267-349, 2007.
DOI : 10.1002/9780470168011.ch4

D. Rubiales and M. Fernández-aparicio, Innovations in parasitic weeds management in legume crops. A review, Agronomy for Sustainable Development, vol.69, issue.2, pp.433-482, 2012.
DOI : 10.1007/s13593-011-0045-x

URL : https://hal.archives-ouvertes.fr/hal-00930517

Y. Goldwasser and J. Rodenburg, Integrated Agronomic Management of Parasitic Weed Seed Banks, Parasit Orobanchaceae, pp.393-413, 2013.
DOI : 10.1007/978-3-642-38146-1_22

M. Fernandez-aparicio, J. Sillero, A. Pérez-de-luque, and D. Rubiales, Identification of sources of resistance to crenate broomrape (Orobanche crenata) in Spanish lentil (Lens culinaris) germplasm, Weed Research, vol.44, issue.1, pp.85-94, 2008.
DOI : 10.1111/j.1365-3180.2008.00604.x

M. Molinero-ruiz, R. García-ruiz, J. Melero-vara, and J. Domínguez, race F: performance of resistant sunflower hybrids and aggressiveness of populations of the parasitic weed, Weed Research, vol.39, issue.5, pp.469-78, 2009.
DOI : 10.1111/j.1365-3180.2009.00708.x

P. Labrousse, Several Mechanisms are Involved in Resistance of Helianthus to Orobanche cumana Wallr., Annals of Botany, vol.88, issue.5, pp.859-68, 2001.
DOI : 10.1006/anbo.2001.1520

M. Gauthier, C. Véronési, Y. El-halmouch, M. Leflon, C. Jestin et al., Characterisation of resistance to branched broomrape, Phelipanche ramosa, in winter oilseed rape, Crop Protection, vol.42, pp.56-63, 2012.
DOI : 10.1016/j.cropro.2012.07.002

URL : https://hal.archives-ouvertes.fr/hal-01208648

R. Sokal, F. Rohlf, and . Biometry, The Principles and Practice of Statistics in Biological Research, 1969.

A. Bhattacharyya, On a measure of divergence between two statistical populations defined by their probability distribution, Bull Calcutta Math Soc, vol.35, pp.99-110, 1943.

A. Mishra, K. Matous, K. Mishra, and L. Nedbal, Towards Discrimination of Plant Species by Machine Vision: Advanced Statistical Analysis of Chlorophyll Fluorescence Transients, Journal of Fluorescence, vol.24, issue.7, pp.905-918, 2009.
DOI : 10.1007/s10895-009-0491-x

H. Lichtenthaler, C. Buschmann, and M. Knapp, How to correctly determine the different chlorophyll fluorescence parameters and the chlorophyll fluorescence decrease ratio RFd of leaves with the PAM fluorometer, Photosynthetica, vol.27, issue.3, pp.379-93, 2005.
DOI : 10.1007/s11099-005-0062-6

J. Van-gestel, H. Vlamakis, and R. Kolter, New Tools for Comparing Microscopy Images: Quantitative Analysis of Cell Types in Bacillus subtilis, Journal of Bacteriology, vol.197, issue.4, pp.699-709, 2015.
DOI : 10.1128/JB.02501-14

K. Matous, Z. Benediktyová, S. Berger, T. Roitsch, and L. Nedbal, Case study of combinatorial imaging: What protocol and what chlorophyll fluorescence image to use when visualizing infection of Arabidopsis thaliana by Pseudomonas syringae?, Photosynthesis Research, vol.77, issue.2, pp.243-53, 2006.
DOI : 10.1007/s11120-006-9120-6

P. Horton and A. Ruban, Regulation of Photosystem II, Photosynthesis Research, vol.283, issue.3, pp.375-385, 1992.
DOI : 10.1007/BF00029812

P. Horton, . Ruban-av, and R. Walters, REGULATION OF LIGHT HARVESTING IN GREEN PLANTS, Annual Review of Plant Physiology and Plant Molecular Biology, vol.47, issue.1, pp.655-84, 1996.
DOI : 10.1146/annurev.arplant.47.1.655

B. Genty, J. Briantais, and N. Baker, The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence, Biochimica et Biophysica Acta (BBA) - General Subjects, vol.990, issue.1, pp.87-92, 1989.
DOI : 10.1016/S0304-4165(89)80016-9

K. Oxborough, Imaging of chlorophyll a fluorescence: theoretical and practical aspects of an emerging technique for the monitoring of photosynthetic performance, Journal of Experimental Botany, vol.55, issue.400, pp.1195-205, 2004.
DOI : 10.1093/jxb/erh145

H. Lichtenthaler and J. Miehe, Fluorescence imaging as a diagnostic tool for plant stress, Trends in Plant Science, vol.2, issue.8, pp.6-10, 1997.
DOI : 10.1016/S1360-1385(97)89954-2

G. Pau, F. Fuchs, O. Sklyar, M. Boutros, and W. Huber, EBImage--an R package for image processing with applications to cellular phenotypes, Bioinformatics, vol.26, issue.7, pp.979-81, 2010.
DOI : 10.1093/bioinformatics/btq046

D. and O. M. Statmatch, Statistical Matching (aka Data Fusion), 2014.

R. Team, R: A Language and Environment for Statistical Computing, 2013.