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Accueil du site → Projets de développement → Projets 2019 → Landscape scale genomic-environment diversity data to model existing and novel agri-systems under climate change to enhance food security in Ethiopia

2019

Landscape scale genomic-environment diversity data to model existing and novel agri-systems under climate change to enhance food security in Ethiopia

Ethiopie

Department for International Development UKAID

Titre : Landscape scale genomic-environment diversity data to model existing and novel agri-systems under climate change to enhance food security in Ethiopia

Pays : Ethiopie

Numéro du projet : GB-GOV-13-FUND—GCRF-BB_S014896_1

Organismes de mise en œuvre : Royal Botanic Gardens Kew

Durée : Actual Start 01 Apr 2019 // Actual End31 Mar 2021

Présentation partielle
Our principal aim is to apply UK research excellence across three disciplines ; genomics (the crops) climatic modelling (the environment), and agroecological practice (management), to understand the drivers, interactions and resulting performance (ecosystem provision) of diverse Ethiopian agri-systems across multiple scales to enhance sustainable intensification and ensure resilience to future climate change. This approach seeks to generate data to underpin a strategy for improving livelihoods for rural Ethiopians whilst generating world-class transferable research insights to the benefit of regional and global agriculture. Our objectives will be underpinned by ten high-impact open-access journal articles (outlined in the Case for Support), a published regional agri-system strategy and advice pamphlets disseminated through a network of agricultural extension agents and model farmers. 1) Development and implementation of an evidence-based regional agri-system strategy, to guide the landscape scale management and sustainable intensification of Ethiopian agri-systems, despite the impact of climate change, whilst maintaining resilient livelihoods (i.e. starch, protein and cash crops). This coherent strategy should encompass utilization of appropriate genomic resources, climate matched crop selection and management strategies to sustainably optimise outputs. 2) An interdisciplinary meta-analysis combining, phylogenetic characterization, genotype-environment association analysis, climatic envelope modelling (both in the present and future), agri-system management and resulting ecosystem service provision to identify the key drivers of agri-system resilience and production. 3) Generation and dissemination to farmers of selected and local-climate-optimized enset seedlings, tapping into existing market chains to reverse the decline of this important food security crop. 4) High resolution data at the landscape scale mapping the distribution and spatial environmental suitability of diverse current Ethiopian agri-systems. Supported by : a. Combining analysis of environmental suitability, with metrics of ecosystem service provisioning we aim to produce models that describe how yields and other services vary across agro-ecological conditions. b. Modelling the performance of existing agri-systems under future climate scenarios to identify trends (i.e. climate resilient and susceptible agri-system combinations). c. Modelling the projected performance of novel crop combinations (i.e. novel agri-system combinations) under climate change

Financement : UK - Department for Business, Energy and Industrial Strategy
Project budget : £1,076,225

Présentation (UKAID)

Page publiée le 14 octobre 2022