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Farming the Aynokas in the Bolivian Altiplano

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Sectors used in managing fallow system, each containing hundreds of fields. ... Devoid of constraints (only using basic land constraints) Does not account for labor ... – PowerPoint PPT presentation

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Title: Farming the Aynokas in the Bolivian Altiplano


1
Farming the Aynokas in the Bolivian Altiplano
  • M. Castelhano AAEC 5024
  • Presented 12/04/06

2
Aynokas
  • Sectors used in managing fallow system, each
    containing hundreds of fields. Three aynokas are
    cultivated at a time, each with a different crop
    mix.

3
Altiplano
  • Highland area (3000 to 4310 masl) populated
    mostly by indigenous farmers. This area is
    generally considered part of the High Climatic
    Risk Andes, suffering from low rainfall and
    heavy climatic variability.

4
Objective
  • Model optimal farm management decisions within
    aynokas system.
  • Determine further data needed to create more
    accurate model.

5
Aynokas Rotation
  • First year potatoes
  • Second year barley, oats, fava beans (haba
    verde)
  • Third year barley
  • Fourth through (about) twelfth year fallow

6
Data Sources
  • PROINPA-
  • yield data barley, oats, potatoes, haba verde
  • prices potatoes, haba verde, many vegetables
  • costs barley, oats
  • FAOSTAT-
  • yield and price data for all relevant crops
  • no data on costs

7
Land
  • According to CIP
  • Most farm holdings are 1 to 3 hectares.
  • Three sizes for model
  • Small 0.9 Ha
  • Medium 3.0 Ha
  • Large 4.98 Ha

8
Initial Model
  • MOTAD model (risk minimizing) based on the Hazell
    and Norton example.
  • Use FAO data (13 years, 5 crop activities)
  • Start with constraints (not necessary to plant
    all land)

9
Results of Initial Model
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13
Modifications
  • Land constraints land is held (to some degree)
    communally. This may be on a use it or lose it
    basis.
  • Change to constraints (ensures planting of all
    land)

14
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17
Problems with Initial Model
  • Devoid of constraints (only using basic land
    constraints)
  • Does not account for labor
  • on-farm needs
  • off-farm opportunities
  • On farm consumption needs
  • No information on production costs and inputs
  • FAO data for Bolivia as a whole, not specific to
    region

18
Potential Solutions
  • Recalculate revenue expectations using data from
    PROINPA
  • Gather more information/data and build more
    constraints

19
Additional Info Desired
  • Labor- availability of off-farm opportunities has
    affected quinoa plantings (CIP).
  • Potential income from leaving farm?
  • Losses to farming from decreased labor?
  • Some fertilizer is used (mostly manure).
  • How much?
  • Could increased use increase productivity?

20
Additional Info Desired
  • Consumption- Most farmers in Altiplano grow
    potatoes for other than commercial use (CIP).
  • Do consumption needs affect planting choices?
  • Food (potatoes, beans, etc.)
  • Fodder
  • Plant varieties- potato
  • Differences in yields and prices?
  • Difference in yield variability?

21
Additional Info Desired
  • Barley- differences for two different activities
    (second year vs. third)
  • Livestock activities- sale of products?
  • Quinoa- marketed?
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