European

Reproductive Enhancement of CROP resilience to extreme climate (RECROP) - Cost Action CA22157

Coordinator: Sotirios Fragkostefanaki

Climate change is a threat for food security as extreme weather phenomena will reduce the yield of all major crops. Grain and fruit crops which consist the core of human diet are particularly vulnerable due to the sensitivity of sexual reproduction process to abiotic stresses. Consequently, there is an urgent need to generate elite varieties with enhanced reproductive stress resilience. RECROP (Reproductive Enhancement of CROP resilience to extreme climate) is a team of agronomists, physiologists, geneticists, biologists, bioinformaticians and researchers from the field of Machine Learning from public organizations and private sector which will use holistic approaches to understand the grounds of crop sensitivity and design solutions for yield stimulation in the era of climate change. RECROP aims to: (1) Identify the genetic, molecular, and physiological makeup of the sensitivity of crop reproduction, (2) Create a roadmap for the generation of resilient crops, and (3) Provide guidelines of exogenous treatments to increase resilience in a sustainable manner and push the limits of the genetically inherited stress tolerance. The aims will be fulfilled by four Working Groups (WGs) which in addition to research discussions will organize training schools, workshops, conferences, and dissemination activities. RECROP will actively support Early Stage Career researchers through training and networking and support interactions with Near Neighbouring and partner COST countries. RECROP members will be actively involved in building communication channels with Policy Makers to provide scientific advice and support them in scientific-based context of future policies on biotechnology, technology and agriculture sectors.

Project Details

Status

Running

Start date

October 2023

Duration

48 months

Website

https://www.recrop-cost.com/

Responsible institution

Institute of Molecular Biosciences

Research Team