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FAIR-Fields

FAIR-Fields -A Digital Research Environment


Term

2022-08-01 bis 2025-06-30

Project management

  • Andrea, Krähmer


Responsible institute

Institut für ökologische Chemie, Pflanzenanalytik und Vorratsschutz


Project preparer

  • Steffen, Kecke
  • Bernd, Rodemann
  • Lena, Ulber
  • Andreas, Stahl
  • Lukas, Beule
  • Nadine, Herwig

Cooperation partner

  • Institut für Resistenzforschung und Stresstoleranz (JKI)
  • Digitalisierung / Künstliche Intelligenz (JKI)
  • Institut für Pflanzenschutz in Ackerbau und Grünland (JKI)


Overall objective of the project

The aim of the project is to investigate the genotype, environment and management interactions (GxExM) with regard to the factors of varietal resistance, weed suppression, drought tolerance and yield of winter wheat (WW) and to evaluate preceding crop effects with regard to Septoria and Fusarium infestation. For a better assessment of site effects such as regional soil and climatic conditions on the influence of management measures, the trial will be conducted in parallel at the three trial field sites Braunschweig (Sickte), Quedlinburg and Groß Lüsewitz. Various conflicts of objectives are to be examined more closely. For example, the variation in sowing time for weed control is to be compared with a possible yield loss, or early strong vegetative growth for weed control is to be compared with the risk of drought stress during prolonged drought. The usability of increased resistance to fungal pathogens of a preculture on the following crop will also be investigated. To answer these questions, a sample crop rotation sequence consisting of three rotation elements (silage maize vs. field bean/winter wheat/winter wheat) will be set up, which factorially takes into account the parameters i) preceding crop, ii) sowing date of the WW (early/late), iii) variety selection of the WW (six varieties) and iv) plant protection intensity (untreated/ customary and site-specific). The investigation of the triple interactions in combination with the extensive spectral sensor data generates considerable amounts of data in the FAIR-Fields project. The data density and lack of standardisation exceed the existing evaluation infrastructure at the JKI. Likewise, processes and conditions of data collection, e.g. through sensor-based phenotyping, need to be harmonised. For this reason, data collection with UAVs at the three sites under consideration is to be standardised as far as possible via an aerial network in order to ensure comparability and informative value.


Funder

Federal Ministry of Food and Agriculture