Research units and/or experimental units implied : UE DiaScope and TGU AGAP, DAVEM Team
Bordering the Mediterranean Sea, DiaPHEN facility enables specific work on plants behavior under water and heat stress during summer. The facility runs annuals (wheat, maize,...) and perennials (apple, grape...).
DiaPhen provides fine environment characterization (detailed pedologic and climatic data, in situ weather station) and continuous monitoring and real-time changes in the volumic water content of soils during experiments.
The team provides support with phenotyping tools to monitor the canopy structure evolution and make predictions of biochemical content (in particular nitrogen) by non destructive methods. This can be done at scales ranging from the organ to the plot level.
Full weather station (Agroclim INRA network) adjacent to the experimental plots, weather sensors inside experiments, network of capacitive probes and network of soil moisture tension inside plots of reference genotypes, portable NIRS, GreenSeeker, LAI2200, hyperspectral camera NEO (in development at DAVEM), phenomobile (spectrum acquisition in VIS, NIR, LIDAR, active light 2016), automated seeds post-harvest phenotyping line (2016), efficient irrigation equipment, GIS services.
Available at unit’s level: heating ovens, drying cupboards, cold chambers, deep freezers, seeds threshing and cleaning machines, grinders, laboratory.
Basic offer: agricultural operations according to the objectives of the research program, provision of environmental characterization data and tools (climatic, pedologic).
Plant phenotyping: several possibilities : provision of tools and skills, performance of phenotyping in handheld mode, performance of high through put phenotyping either by airborn vector or by phenomobile (available in 2016)
Our offer covers several levels of intervention ranging from basic offer to the whole experiment management, including phenotyping.
Post harvest phenotyping line: morphometric analyses on hundreds of individual grains and NIRS on line on an automated line, for individual plot harvest (available in 2016)
Recent Publications (selection)
- Bonnal L, Julien L, Delalande M, Bastianelli D, 2013. How can dry forages databases be used to predict fresh grass composition by NIRS ? data transfer vs spectra transfer. 2-7 june 2013- 16th International Conference on Near Infrared Spectrometry, - La Grande Motte, France.
- Vigneau, N., Ecarnot, M. Rabatel, G., and Roumet, P. (2011). Potential of field hyperspectral imaging as a non destructive method to assess leaf nitrogen content in Wheat. Field Crops Research 122: 25–31
- Lacaze, X. and Roumet, P. (2011) Stage specific climatic characterization for studying QTL by Environment Interactions. Heredity (in revision).
- Goretta, N., Roger, J., Aubert, M., Bellon Maurel, V., Compan, F. and Roumet, P. (2006) Determining vitreousness of durum wheat kernels using near infrared hyperspectral imaging. J. Near Infrared Spectrosc 14: 231-241.
- Pilet-Nayel ML, Prospéri JM, Hamon C, Lesné A, Lecointre R, Le Goff I, Hervé M, Deniot G, Delalande M, Huguet T, Jacquet C and Baranger A. "AER1, a major gene conferring resistance to Aphanomyces euteiches in Medicago truncatula". Phytopathology, 2009, vol 99, n°2, 203:208