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DRC Team

DRC Team. Participatory matrix scoring Pairwise ranking

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Page 1: DRC Team. Participatory matrix scoring Pairwise ranking

DRC Team

Page 2: DRC Team. Participatory matrix scoring Pairwise ranking

Participatory matrix scoring

Page 3: DRC Team. Participatory matrix scoring Pairwise ranking

Pairwise ranking

Page 4: DRC Team. Participatory matrix scoring Pairwise ranking

Context scores

Page 5: DRC Team. Participatory matrix scoring Pairwise ranking

Legume option attributes_FunctionLegume name Food Feed Income

Erosion control Fuel

Soil fertility

Total score

Common bean 9 1 2 0 0 1 13

Groundnuts 7 1 2 1 0 4 15

Soybean 7 1 2 1 0 3 13

Pigeon pea 9 1 2 1 0 4 17

Mucuna 0 1 0 1 0 5 6

Lablab cv xx 9 3 2 1 0 4 18

Desmodium 0 3 1 1 0 4 8

Calliandra 0 3 1 1 0 4 9

Sesbania 0 3 1 1 0 4 9

2.25 0.6875 0.5625 0.25 0 1.25

Lablab, Pigeon pea, Groundnut, Soybean and Common

bean are promising legumes

Page 6: DRC Team. Participatory matrix scoring Pairwise ranking

Legume option attributes_Constraints

Legume name Land Labour Capital

Inputs and services

Knowledge and skills Water

Markets Total

Common bean 4 0 2 8 9 0 12 35

Groundnuts 8 0 2 12 9 0 16 47

Soybean 6 0 2 12 9 0 16 45

Pigeon pea 2 0 2 4 6 0 8 22

Mucuna 6 0 2 8 6 0 4 26

Lablab cv xx 4 0 2 8 6 0 8 28

Desmodium 6 0 2 4 6 0 8 26

Calliandra 2 0 2 4 6 0 8 22

Sesbania 2 0 2 8 6 0 8 26

2 0 2 4 3 0 4

Groundnuts , soybean and common bean have high level of constraint

Pigeon pea lowest level of constraint followed by Lablab

Page 7: DRC Team. Participatory matrix scoring Pairwise ranking

Propositions for improvement of the FCD

•page 8: need to be open, no species added. But it is not clear its usefulness.

•Page 9 (table): List of constraints should not be open but match the constraints in the context scoring•Need to add boxes for recording the scoring: pages 2, 3,

•The secondary functions are not included

• page 10: the pairwise of constraints does not come into the spreadsheet. Instead there is pairwise of functions.

Page 8: DRC Team. Participatory matrix scoring Pairwise ranking

Area of Intervention Limited access to quality seed and fertilizer, high

labor cost, not organized market, pest and diseases, land tenure system

Work with the HumidTropics R4D platform to organize farmers into groups/cooperatives for collective marketing. - Training

Expand pest resistant beans and soybean varieties tested last season: - more farmers coverage - seed multiplication

Page 9: DRC Team. Participatory matrix scoring Pairwise ranking

Area of Intervention Low productivity of common bean Climbing beans options with source of stakes

production: introduction of gliricidia, calliandra or Leucaena (Mushinga)

Intermediate measures: using pennisetum/grevillea as stake while waiting for calliandra (quick assessment of cost effectiveness of the two options).

- Demonstration plot (very simple and include as many farmers as possible)

Page 10: DRC Team. Participatory matrix scoring Pairwise ranking

Planning output 2Expand pest resistant beans and soybean

varieties tested last season: - more farmers coverage • Trials (8) in Bushumba: Treatment 1: farmer practice Treatment 2: pest resistant common bean Treatment 3: improved soybean • farmer field day (open to other farmers

associations)- seed multiplication plot (2)

Page 11: DRC Team. Participatory matrix scoring Pairwise ranking

Planning output2

For Mushinga: Climbing beans options•Treatment 1: local variety•Treatment 2: climbing pest resistant variety + Pennisetum or grevillea with caliandra hedgerows