Data-SpExGP

Collection of spatial data from large-plot experiments

Rapeseed Tournesol Pois d'hiver Pois de printemps Soja Féverole d'hiver Féverole de printemps Lentille Pois chiche Lin d'hiver Lin de printemps Lupin d'hiver Lupin de printemps Cameline Chanvre
Gérer son système de culture
Compatible
Renforcer la souveraineté en huiles et protéines
  • Project Status
    Terminé
  • Start date
    01/01/2023
  • Pilot structure
    Inovia Lands
  • Total cost

    Not disclosed

  • Geographic area
    National
  • Referent(s)

    Maxime Bécu - m.becu@terresinovia.fr

  • Duration
    36 months
  • Funded by

    ANR Carnot

The Issues

Experimental data cannot always be collected using micro-plots. To address certain constraints, it is necessary to conduct experiments on large plots. 

To ensure these trials are properly evaluated, field methodologies must be carefully defined to obtain high-quality data, and the statistical methods to be used must also be clearly specified.
  

This project will enable the implementation of experiments on targeted topics such as pests (insects, birds, etc.), diseases, biostimulants, system trials, or trials using farmers’ equipment, as well as demonstrations to encourage the adoption of new techniques by farmers.
  

The objectives

  • What experimental designs can be used in large-plot experiments?
  • How can we ensure proper setup and monitoring to obtain high-quality data?
  • Can the data collected by combine harvesters be utilized? 
  • What statistical methods can be used in large-plot experiments?
     

Expected results

• Methodology for developing and implementing large-plot trials, including the creation of a methodological guide for
large-plot trials• Methodology for processing collected data, including the development of a method for collecting and analyzing yield data using a selection of statistical models appropriate to the study design
 

Achievements and Impact

Project partners

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