farming systems analysis: tanzania, malawi and zambia

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Presented by Jeroen Groot (Wageningen University) at the Africa RISING ESA Review and Planning Meeting, Arusha, Tanzania, 9-11 September 2014

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Farming systems analysisTanzania, Malawi and Zambia

Jeroen GrootWageningen University

Africa RISING ESA Review and Planning Meeting,Arusha, Tanzania, 9-11 September 2014

Systems analysisBoundary

Components (or sub-systems)

Interrelationships

Output(s)

Input(s)

Structure Relationships Processes Functions

DiversitySystem X

System Y

Structure Relationships Processes Functions

NestedStructure Relationships Processes Functions

Animal

Animal product

Crop product

Manure

Fertilizer

Feed intake

Bedding andfeed losses

Greenmanures

Cropnutrient uptake

Faeces and urineproduction

Manureapplication

Fertilizerapplication

Importedcrop products

Exportedcrop products

Exportedanimal products

Exported manureand losses

Importedfertilizers

Soil

Crop

Atmosphericinputs

Soil losses andaccumulation

Methodology

Rapid characteriz.

Detailed description

Explorationinnovations

TypologySystems

(re)design

Diagnosis Tradeoff analysis

Innovations

Tanzania• Babati, Kongwa & Kiteto• 240 farms; detailed: 15 farms

Malawi• Dedza, Ntcheu• 80 farms; detailed: 12 farms

Zambia• Chipata, Katete, Lundazi• 800 farms (SIMLEZA baseline survey); detailed: 15 farms

Locations in ESA

Typology Zambia

Typology Zambia – farm size

Type 1 (LRE) Type 5 (HRE)

Farmer motivations and objectives

Exploration: what-if options

Innovations

Crop areas

Residue use

Animal feeding

Animal numbers

Consequences

Profit

Labor

Soil org. matter

Nutrient losses

Farmer objectives, constraints

Input-output relations of current and innovative (EP’s) agricultural activities, e.g.:• Input levels (cv’s, fertilizers, tillage, etc.), efficiencies• Productivity and composition, use of products• Post-harvest losses and processes• Labor requirements and availability• Costs and prices• Etc.

Needed knowledge and data

Exploration: many what-if options

Gender

Human nutrition

Animal

Crop

Animal product

Crop product

Nutrient content

Nutrient

Person

Nutrient requirem.

1 1 1 n

n n n 1

n

1

Visualization

Sustainable development

Vision

EnvironmentalVegetation coverWater

HumanHealth, nutritionSelf-determinationHappiness

EconomicIncomeCapital

SocialConnectedness

Equity

Sustainable development indicators

ESA – Isaac Jambo, advisors: Pablo Tittonell, Mateete Bekunda, Jeroen Groot, Katrien Descheemaeker

Participatory integration and model-based exploration, building on existing and new data from surveys, experiments, group discussions, etc.

WA – Frederick Ogoro, advisors: Ken Giller, Asamoah Larbi, Katrien Descheemaeker, Jeroen Groot

2 new IITA-WUR PhD students

Africa Research in Sustainable Intensification for the Next Generation

africa-rising.net

Thank you for your attentionjeroen.groot@wur.nl

SystemBoundary

Components (or sub-systems)

Interrelationships

Output(s)Input(s)

System

Source: www.thenaturalstep.org

Sustainable development

Source: www.thenaturalstep.org

Sustainable development steps

Towards vision

Flexible

Return on investment $

Vision

Sustainable development

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