Cross-disciplinary Teaching and Research

Multi-scale phenomics: environmental characterization and data management
Contact person: Release date: 2018-12-14

Title: Multi-scale phenomics: environmental characterization and data management

Time: 9:00-12:00, 14:00-18:00, December 17-18

Place: Science Building, Room A201

Speaker: Francois Tardieu, French National Institute for Agricultural Research


Program:


Day 1, 17th December, Monday


Module presentation

9:00 – 10:00 Phenomics at different scales, from organ to networks of fields, the importance of environmental characterization and of a proper data management.


Cycle duration, a key feature for meta analyses

10:00 – 12:00 How to estimate cycle duration, thermal time, unifying phenological stages, consequences on light interception.Exercise Thermal time.


Canopy temperature

14:00 – 16:00 Energy balance, evaporative demand - Canopy temperature.

16:15 – 18:00 Computer exercise, transpiration. Penman-Monteith equation.

What are we measuring with canopy temperature, when is a cool temperature favorable?


Day 2, 18th December, Tuesday


Intercepted light, stomatal control and leaf growth

9:00 – 12:00 Monteith equation (interception/ efficiency).

Its use in a high thourghput contextStomatal control and growth, water deficit, WUE.


Principles for data organization of environmental and phenomic data

14:00 – 17:00 Identification of sensors, plants, plots. Ontologies for environmental data

Generating metadata based on semantic web



Francois Tardieu, senior scientist in INRA, France; group leader in INRA LEPSE. His main work deals with the modelling of plant responses to environmental conditions, especially water deficit: stomatal control, leaf growth, root growth in relation with hydraulic and chemical signalling. Since 2000, he has developed an approach aiming at modelling the genetic variability of plant responses to environmental cues linked to climate changes, by combining ecophysiological modelling, high throughput phenotyping and genetic analyses.



Contact:HUAN CHEN                                   Tell:  84399576




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