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Field Guide of Discovery-based Exercises for - Aseanipm ...

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Section 2 • General Topics <strong>for</strong> Farmer <strong>Field</strong> Schools<br />

Exercise No. 2.05 25<br />

AGRO-ECOSYSTEM ANALYSIS FOR FARMER<br />

FIELD SCHOOLS ON ORGANIC VEGETABLE<br />

PRODUCTION: ESTABLISHING MINIMUM DATA FOR<br />

DECISION-MAkING<br />

BaCKGroUND aND raTIoNalE<br />

Agro-ecosystem analysis (AESA) is a way <strong>of</strong> assembling<br />

what participants are studying and placing into a process<br />

useful <strong>for</strong> decision-making <strong>based</strong> on many factors 26 . An AESA, there<strong>for</strong>e, must look into various<br />

elements <strong>of</strong> a crop ecosystem, how these elements, in one way or another, affect a crop and what<br />

are those elements that work interdependently or separately <strong>for</strong> a particular vegetable crop. This<br />

exercise, there<strong>for</strong>e, provides a holistic approach in monitoring an organically-grown vegetable in<br />

question.<br />

In previous volumes 27 - 28 , minimum data necessary <strong>for</strong> decision-making had been established in<br />

farmer field schools <strong>of</strong> crucifers and other vegetables that are not organically-grown. For this<br />

volume, minimum data necessary <strong>for</strong> decision-making in farmer field schools <strong>of</strong> organically-grown<br />

vegetables (e.g., legumes, solanaceous vegetables, parsley, and cucurbits) will have to be established<br />

as well. Thus, this activity will be undertaken to address this particular concern.<br />

How long will this exercise take?<br />

• At least 30 minutes <strong>for</strong> field walks and observations;<br />

• At least 30 minutes <strong>for</strong> brainstorming in small groups to determine minimum data necessary<br />

<strong>for</strong> decision-making in farmer field schools <strong>of</strong> organically-grown vegetables; and<br />

• At least one hour <strong>for</strong> presentation and participatory discussions in big group to fine-tune<br />

minimum data necessary <strong>for</strong> decision-making in farmer field schools <strong>of</strong> organically-grown<br />

vegetables.<br />

25 Adapted from Callo, Jr., D.P., L.B. Te<strong>of</strong>ilo, and H.A. Tauli (eds). 2002. <strong>Field</strong> <strong>Guide</strong> <strong>of</strong> <strong>Discovery</strong>-<strong>based</strong> <strong>Exercises</strong> <strong>for</strong> Vegetable IPM, Volume II. SEAMEO<br />

Regional Center <strong>for</strong> Graduate Study and Research in Agriculture (SEARCA), Los Baños, Laguna, Philippines. pp38-42.<br />

26 Callo, Jr. D.P., W.R. Cuaterno, and H.A. Tauli (eds). 1999. Handbook <strong>of</strong> Non-Formal Education and Team Building <strong>Exercises</strong> <strong>for</strong> Integrated Pest<br />

Management. SEAMEO Regional Center <strong>for</strong> Graduate Study and Research in Agriculture, College, Laguna, Philippines. pp190-191.<br />

27 Philippine National IPM Program. 1997. <strong>Field</strong> <strong>Guide</strong> <strong>of</strong> <strong>Discovery</strong>-<strong>based</strong> <strong>Exercises</strong> <strong>for</strong> Vegetable IPM. National Agricultural and Fishery Council,<br />

Department <strong>of</strong> Agriculture, Diliman, Quezon City, Philippines. pp2-1 to 2-124<br />

28 Callo, Jr., D.P., Te<strong>of</strong>ilo, L.B. and Tauli, H.A. 2002. <strong>Field</strong> <strong>Guide</strong> <strong>of</strong> <strong>Discovery</strong>-<strong>based</strong> <strong>Exercises</strong> <strong>for</strong> Vegetable IPM, Volume II. SEAMEO Regional Center<br />

<strong>for</strong> Graduate Study and Research in Agriculture (SEARCA), Los Baños, Laguna, Philippines. pp13-16.<br />

31<br />

when is this exercise most<br />

appropriate?<br />

ɶ In TOT and VST, be<strong>for</strong>e<br />

conducting first AESA<br />

in FFS <strong>of</strong> where both a<br />

primary and secondary<br />

organic vegetables will be<br />

addressed in a seasonlong<br />

FFS activity.

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