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Farmer Field Schools for IPM: Refresh your memory
Contents
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Field experiments
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In each FFS we always have an experiment comparing an
IPM plot (managed according to the AESA) with a Farmer’s Practice plot
(FP plot). But an FFS is not complete without one or more other field
experiments.
Carrying out experiments with farmers serves two
purposes. First of all, it helps them to learn through experience. They
carry out the experiment and discover a lot of new knowledge by
themselves. This is a much more powerful way of learning than just
hearing it in a lecture or being told what to do. Secondly, by carrying
out experiments, the farmers learn how to test new crop management
methods and how to find answers to their questions. It opens the way to
future learning and to start “science by farmers”.
However, experiments that are carried out during the
first-season FFS are often not meant to discover new things. In the FFS
we rather start with well-known experiments that are used by the
facilitator as a tool to learn about the crop, the pests, and natural
enemies.
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The learning cycle

Examples of field experiments
There are many experiments that could be
carried out by farmers during an FFS. It will depend on the situation which
experiments are the most appropriate. The facilitator will consider the
questions asked by farmers during the first meetings and based on this
select, together with the farmers, one or more field experiments. Here are
some examples of experiments that are often used during field schools:
Crop compensation
Simulate insect damage by cutting parts of the leaves
or by removing shoots or tillers. This type of experiment demonstrates
that crop plants can compensate for some damage, by producing new leaves
or shoots. Farmers who experience this will be more confident to
tolerate some damage.
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Use of traps
Set up some traps to study insect populations. For
example light traps, yellow sticky traps, or pitfall traps. This can be
used to monitor pest populations, but it could also be used as an
experiment to see if pests can be controlled with the traps (e.g.
control flea beetles in Chinese kale with yellow sticky traps).
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Field cages
Discover how natural enemies can keep pest
populations under control. Set up two or more field cages; one with only
pests (e.g. Brown Plant Hoppers on rice), and one with pests and natural
enemies (e.g. Brown Plant Hoppers together with some spiders).
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Use of botanical pesticides and bio-pesticides
Study how botanical pesticides (e.g. Neem) or
bio-pesticides (Bt, NPV, Steinernema, Trichoderma) can be used to manage
pest populations. For example set up small experiments where Neem is
compared with plots that are unsprayed.
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Mulching
Compare plots with and without mulching and see how
this has an effect on the development of plants, insects, and diseases.
Plant spacing
Compare different levels of plant spacing and see how
the crop plants develop under different conditions. The differences in
plant density have an effect on the micro-climate and we can learn how
this has an effect on development of pests and diseases.
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Fertilizer experiments
Set up small plots with different levels of
fertilizer use. Compare use of synthetic fertilizer (NPK) with organic
fertilizers (compost or manure).
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Release of natural enemies
Use predators or parasitoids that are available from
pest management centers (PMC) and release them in the IPM plots. Use for
example: earwigs, assassin bugs or Trichogramma wasps.
Compare crop varieties
Compare different varieties of the same crop and
study how they differ. Pay special attention to differences in pest
resistance or tolerance.
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Intercropping
Compare monoculture with multiple cropping systems.
Try intercropping with plants that are known to stimulate natural
enemies (e.g. beans or other flowering plants) or use plants that repel
insects (e.g. citronella).
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Data recording
Why keeping data?
When observing the crop (IPM plot, FP plot, field
experiments) or the insect zoo, we need to record data:
- to keep records of what has happened
- to help us making an analysis and draw conclusions
How to keep data?
What data?
- Plant growth (weekly)
- Height of plant
- Number of leaves
- Crop situation (e.g. for AESA)
- Plant health
- Pests, diseases, weeds
- Natural Enemies
- Soil
- Water
- Weather condition
- Inputs costs (Baht/rai)
- Seeds
- Fertilizer
- Pesticides
- Labor
- Harvest
- Yield (kilo/rai)
- Price of produce (Baht/kilo)
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