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8/13/2019 Agmip Clip India Pmh
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Crop livestock intensification in the
face of climate change
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Study sites
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Fast track site
NKAYI
MATEBELELA
ND
SOUTH
MA T EB E LE LAN D
N O R TH
M ASHO NAL AND
C ENT RALM ASHO NAL AND
W E S T
MASH
ONALAND
EAST
MA S VI N GO
MAN
ICAL
AN
D
MI
D
LANDS
HARARE
BULAWAYO
NKAYI
DISTRICT
VIII
IXVI
X
XI
XIII XIV XV
XXIV
XXV
XXIII
XVI
IV
III
III
V
XII
XXII
XX
XVII
XVIII
XIX
XXVI
VII
District B oundary
Ward Boundary
Village Boundary
Research Wards
II Ward Name
EXPLANATION
0 20km
Site selection:Southern Africa
Village selection:
8 villagesDistance from markets and roads
Village level surveys:Focus group discussions
~ 30 farmers of different wealth, gender
and age per each village (n=24)
Household surveys:Quantitative interviews
20 households per village, stratified by
wealth (n=160)
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Farm Systems Characteristics
1. Population and strataPopulation:160 HH (20HH per 8 villages) in Nkayi, South West Zimbabwe
Strata:Ownership of ruminants (TLU)
2. Mixed crop livestock sub-systemsMaize and other crops: Grain and residues
Cattle and other livestock: Milk, draft power, manure, milk
3. Crop, livestock and outcome componentsProduction: Maize grain and residues, cattle milk and meat
Gains and losses: Net returns on maize, other crops, cattle, other livestock
Herd size Thresholds (TLU) % household
No/few ruminants 0-0.49 29.4
Small herd 0.5-5.4 41.3
Large herd >5.4 29.4
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Integrated crop-livestock systems
Soil fertility
Feedshortages
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Food security
0
10
20
30
40
5060
70
80
90
100
0 50 100 150 200 250 300 350 400 450
Probabilityofexce
edence(%)
% grain requirement met
Control
Micro-dose
Mz_muc
100%
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Feed gap analysis
Monthly feed supply (pasture, green & crop residues, red)
versus feed demand (black line) for an example household
Base climate Future climate
Feed gap analysis is translated into livestock cost/benefits:
- Milk and meat production in case of feed surplus
- Costs for stock feed in case of feed shortage
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From feed gaps to livestock cost/benefitsFeed gap
analysis is
translated into
livestockcost/benefits:
- Milk and meat
production in
case of feed
surplus
- Costs forstock feed in
case of feed
shortage
% change is used to calculate future livestock livestock cost/benefits based on observed data:
cost/benefit_future = cost/benefit_observed * %change
where %change = (modelled_future - modelled_historic)/modelled_historic
milk meat concentrates
base future base future base future
HH id kg kg % change kg kg % change kg kg % change43102 1176 912 -22% 117 91 -22% 685 1448 111%
43104 786 594 -24% 79 59 -24% 793 1388 75%
43107 1176 912 -22% 117 91 -22% 685 1448 111%
43119 1296 1092 -16% 130 109 -16% 394 923 134%
43120 3542 2970 -16% 354 297 -16% 1136 2664 134%
43202 0 0
43203 1248 784 -37% 125 78 -37% 4929 6328 28%
43204 0 0
43205 212 110 -48% 21 11 -48% 1665 1979 19%
43206 1968 1698 -14% 197 169 -14% 490 1208 147%
43207 972 834 -14% 97 83 -14% 279 664 138%43208 1008 888 -12% 101 89 -12% 180 497 176%
BENEFITS COSTS
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-600
-400
-200
0
200
400600
0 50 100
S2a S2b S2c S3
Gain/loss diagram for each stratum from the TOA-MDanalysis
$/yr
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Household modelling: APSFarm
Rodriguez, D., Cox, H., deVoil, P., Power, B. 2012. A whole farm modelling approach to understand impacts and increase preparedness to climate change in
Australia. Ag. Systems
Rodriguez D, deVoil P, Power B, Cox H, Crimp S, Meinke H (2011) The intrinsic plasticity of farm businesses and their resilience to change. An Australian
example. Field Crops Res. 124, 157-170.
Power, B., Rodriguez, D., deVoil, P., Harris, G., Payero, J., 2011. A multi-field bio-economic model of irrigated grain-cotton farming systems. Field Crop Res.
124, 171-179.
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LivSim (Rufino et al., 2008)
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APSFarm-LivSimRelevantinterventions
Profits Risks SustainabilityFood security
Livestock No livestock Livestock
Own and hired labour Labour constrained
Less land constrained Land constrained
More educated No educated
Potential production
M
aizeharvested
APSFarm-LivSim simulation
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Expected outputs
Detailed description of farming systems and developed
crop-livestock management practices relevant to different
household typologies Interactions and synergies of increased diversity and
integration (agro-ecological and economic opportunities)
and their contribution to reduce risk and increase system
resilience explored through modelling