Three decades of agrigenomics research
- Details
- Category: Projects
-
29 Dec 2023
30 years of R+D CSIC
The cost of sequencing genomes is a million times less than it was just over two decades ago. The data is impressive. If in the year 1998, the sequencing of a single piece of the Arabidopsis plant genome was a milestone, now the situation has changed radically. We speak with some of the early researchers in this field.
Microsensors to monitor fermentation and wine aging processes
- Details
- Category: Projects
-
21 Dec 2023
The Institute of Microelectronics of Barcelona (IMB-CNM-CSIC) participates in a project to improve the monitoring of fermentation and aging of Catalan wine farms through sensors and chips. The sensorization of wineries seeks to improve the economic performance of farms and better cope with the effects of climate change in the coming decades.
Compounds identified for the control of pine seed bug, which causes heavy damages to pine nut production
- Details
- Category: Projects
-
27 Apr 2023
GoPinea, a project to recover the production of the Iberian pine nut, has finished. Among its results, a team from the CSIC's Institute of Advanced Chemistry of Catalonia (IQAC) has obtained compounds that could be used to control the pine seed bug, an invasive insect that is causing major losses in pine nut harvests.
Understanding the structure of viruses to develop strategies against plant diseases
- Details
- Category: Projects
-
26 Jun 2023
Sweet potato feathery mottle virus and sweet potato mild mottle virus cause huge losses in sweet potato crops, especially in African and Latin American countries, where this species is a staple crop. Scientists at CRAG have contributed to solve the structure of these viruses. The research aims to explain their mode of infection and open up new strategies for their control.
New project will track pollinator preferences to select more resilient plants
- Details
- Category: Projects
-
01 Mar 2023
DARkWIN will track the preferences of bumblebees (which will be followed by radio frequency) to guide plant natural selection and breeding. The research will be carried out on an experimental crop, exposed to heat and drought, and using Living IoT technology.