Devices

The maize experimental unit is part of the TEMPO research program.  

The Seasonal Observatory is a participatory research program initiated in 2007 by the CNRS and the Tela Botanica association. Today, it is part of the Tempo network, supported by INRAE ​​and the CNRS. It relies on citizens observing the seasonal rhythms of plants and animals to collect data useful for research, particularly for the study of climate change and its impact on biodiversity.

The program collects all phenological* data to model climate change. As part of this process, our historical data on maize cultivation was shared and integrated.

Within this framework, ancestral characterization data transmitted and integrated into Tempo :

• More than 100,000 data points transcribed from 77 notebooks from 1937 to 1991.
• Type of material: populations, lines, hybrids, material under selection.
• Type of data: sowing date, emergence, flowering, lodging, disease, yield, etc...
• Metadata: previous crop, density, ITK, climate data, assessor's comments, etc.

The major scientific question that TEMPO seeks to answer is how climate change impacts the seasonal rhythms of living organisms and what the consequences will be in terms of system productivity, but also population survival, dynamics, and distribution.

*Phenology is the study of the seasonal rhythms of living organisms determined by seasonal variations in climate. It is therefore a key variable for determining climatic risks on agro-ecosystems (e.g. frost damage, drought), the productivity of agro-ecosystems and the survival of populations, the distribution of species and cultivated varieties and the levels of interactions between species (host/pathogen, plant/pollinator, prey/predator, etc.)

TEMPO pursues four main objectives:

1 - Create a research infrastructure and a community of practice dedicated to phenology.

2 - Create an integrated and efficient phenology observation network to produce reliable and widely accessible data.

3 - Develop a transparent and interoperable information system.

4 - Develop innovative research and observation tools.