Pollinator-assisted plant natural selection, phenotyping and breeding under climate change pressure
EIC PathFinder Open Project 101098680
![](https://lopsi.car.upm-csic.es/wp-content/uploads/2023/12/DARkWIN_EU_Logo.png)
DARkWIN’s concept integrates both the classical human eye selecting the healthiest genotypes under stressful environments (where darkener/greener plants are usually selected: DARk-plants win), and the darWINian pollinator bee vision where the most rewarding flowers from the healthiest plants will be naturally selected.
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The role of the Lopsi group in the project is developing an RFID-based sensor for detecting the proximity of the bumblebees to selected plants, thus observing empirically their preference for certain flowers.
After validating the prototype RFID reader, we will build a network of readers to cover a medium-sized hothouse, registering and analyzing the paths followed by insects for extended periods of time, and under different climatic situations.
![](https://lopsi.car.upm-csic.es/wp-content/uploads/2023/12/02-Presentation-of-RFID-Geopositioning-device-2-1024x905.jpg)
![](https://lopsi.car.upm-csic.es/wp-content/uploads/2023/12/03-CAR-CSIC-team-1-1024x808.jpg)
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Dr. Antonio R. Jiménez demonstrates the prototype RFID reader during a project meeting in the CSIC headquarters (November 2023).
More information can be found in the Darkwin project page.
Last update: December 20th, 2023