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Critical EntryPoints
Pointscritiquesd’entrée
Critical EntryPoints
Pointscritiquesd’entrée
What exactlyarewegoingtodotoimprove
livelihoods?
Qu’est-cequ’onvafaireexactement pour
améliorer lebien-être?
Rwanda
Kenya
DRCongo
Burundi
Uganda
Ethiopia
ECAActionArea
AnActionAreaconsistsof ageographically well-definedarea,
cuttingacrossdifferent countries,
withselectioncriteriahighlighted
intheHumidtropics proposal.
ActionArea
ActionSites, R4Dplatforms, andgenericEntryPoints
AnActionSiteisageographically definedareawithinanAction
Areawherefarmingsystemsandagro-ecological conditions are
similar.
AnActionsitewill haveaR4Dplatform
whichwill constitutetheoperational nucleus
of theHumidtropics.
WithintheseR4Dplatforms, generic
critical entrypointswill be
identifiedinlinewithsystem
needsandconstrains.
DRCongo
AS1
AS2
AS3
ActionSite
SRTs
Natureof ‘critical entrypoints’
Proposal:
1. SRT1(situationanalysis) will definecritical entrypointsbased
onadetailedcharacterizationof theActionAreasandActionSites
(whereopportunities will bedefined) andthesewill betranslatedinto
specificinterventions, implementedthroughtheR4DPlatforms
operatingat theActionSitelevel
2. CEPs shouldaddressproductivity, markets/institutions, and/or
NRMissues, dependingonthe‘baseline’ situation
3. CEPs shouldbefarmer-typology-specific(withvisibleemphasis
ongender)
Natureof ‘critical entrypoints’
DiscussionsduringtheNovember 2012launchingmeeting:
1.All threeSRT2sneededwithinall entrypoints, but onemaylead
(important inhypothesistesting); explicit linkstotheIDOsandSLOs
2. Global entrypointspreferredfor testingacrossmultiplelocations,
but other moresitespecificopportunitieswarrant consideration
3. Short termbenefits
4. Broadentrypointsasastart withenhancedspecificityasthese
areoperationalized(refinedanddynamic)
5. Entrypointsproveninoneregionexaminedinothers(AAandAS
levels)
6. Entrypointsmust bebothadoptable, scalableandenduring
(impliessequencingof entriesandoffer near-termbenefits).
7. Evolving.
8.Analyzeshockresponsivenessandriskanalysis(fromSRT1?)
InterventionsidentifiedinActionAreaProposal Planning
Workshops(June2012).
Genericentry‘themes’
InterventionsidentifiedinActionAreaProposal Planning
Workshops(June2012).
Genericentry‘themes’
For instance, inSud-Kivu: Livestockintensification:
Systemproductivity: Meat, milk, fodder legumeintegration, etc
Natural ResourceManagement: Manureproduction, livefodder
hedges, etc
Markets/institutions: Valuechains, serviceprovision, etc
Genericentry‘themes’
FieldSiteswithinActionSites
WithinanActionSite, FieldSiteswill beselectionthat cover
existingrangesinproductivity, NRstatus, andmarket/institutions
withintheActionSite.
FieldSitesandspecificentrypoints
WithinFieldSites, thegenericentrypoints, identifiedat theAction
SiteR4Dplatformwill betranslatedintospecificentrypoints,
relevant for theproductionxmarket xNRMintegrityconditionsof a
specificFieldSite.
Specificentrypoints
For instance, inSud-Kivu: Livestockintensification:
Systemdimension Low High
Productivity status Nichesfor feed
production, etc
Resourceuse
efficiency, etc
NRMstatus Integrationof
multipurposehedges,
(erosioncontrol), etc
System
diversification, etc
Markets/institutions
status
Collectivemarketing,
valueaddition, etc
Valuechainefficiency,
etc
Variabilityinfarmtypologies
Typology-specificentrypoints
For instance, inSud-Kivu: Livestockintensification:
Typology-specificentrypoints
For instance, inSud-Kivu: Livestockintensification:
Animal Enterprise Promotion
Improved Feeding Improved Health Community Actions
• Maize (reduce striga)
• Soybean (BNF/rust control)
• Cassava/SP (value adding)
• Fodder crops/trees (AF
technologies)
• Poultry health
• Cattle health
• Vet products
• AD training
• Local diagnosis
• Collective grazing
• Confinement
• Improved breeds
• Marketing
NRM benefits
Soil health
Reduced
erosion
Fuelwood
Agribusiness
promotion
Milled feed blends
Food products
Improved
nutrition
Protein supply
Infant foods
Income
generation
Animal value
Production
increases
(manuring)
monitored benefits
SRT 3: Policy realm (bypassing the poorest?)
SRT 2 Entry point
Research
topics
hypothesis testing

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