APPENDIXES
Appendix 1: Rapid Survey Questionnaire:
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Name of household head:
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Location (district/sector/cell/village/farm code):
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Homestead Northing:
Easting:
Closest market (local &city) :
Observations :
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a) Background information
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1. Farmer name and age:
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2. Household head: M/F
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3. Family composition:
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4. Household's marital status (circle):
Single widow(er) separated married(absent spouse)
married(present spouse)
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b) Land holdings (acres)
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5. Is land owned/occupied/rented?
5.1. Area owned:
5.2. Area cultivated:
5.3. Area under fallow:
5.4. Area for grazing:
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6.1. Area rented in.........out..............
6.2. Use of common rangeland: yes/no
6.3. Have own woodlot: yes/no
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c) Labour
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7. Family size:
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8. Number of household members working on farm full-time:
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9.1. Labour use (circle):
Only use household labour Hire casuals Hire
full time farm-worker
9.2. Which are the activities for which labour is hired?
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10.1. Sell labour to others: yes/no
10.2. Locally?
10.3. For which activities?
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d) Livestock (indicate also main production:
meat/milk)
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11. Number of local cows:
14. Number of sheep(of which rams):
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12. Number of grade or improved cows:
15. Number of goats(of which bucks):
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13. Number of oxen:
16. Others(chickens, pigs):
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e) Use of key resources (in last 2 of last 5
years)
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17. Inorganic fertilizer on which crops(circle):
Staples/staple & cash crops/cash crop/none
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18. compost on which crops(circle):
Staples/staple & cash crops/cash crop/none
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19. Farmyard manure on which crops (circle):
Staples/staple & cash crops/cash crop/none
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20. Green manure on which crops(circle):
Staples/staple & cash crops/cash crop/none
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f) Production activities and orientation
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21. Farm production this year was used(circle):
Only for subsistence/ For subsistence + market/
Mostly for market
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22. The most important food crops
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23. The most important income-earning crops or activities
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g) Income
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Number of adults working full time in a formal wage job or owning
a full time business (how large, stable is income?)
24. Now?
25. How long(Circle): 0-5 yrs/ 5-10 yrs/
>10 yrs
26. Number of adults working outside the area, sending
remittances:
What are the times of the year in which there are important cash
needs?
Farmer's estimation of the % of income generated on-farm/
off-farm
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h) Food security
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27. Number of months farm produce of staple crops feeds
family:
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27. Number of months household buys/gets stable foods from
outside:
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29. Months of food deficit:
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30. Does food deficit occur every year?
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i) Farm assets and infrastructure
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31.Transport
32. Tillage (including oxen) and crop husbandry
33. Livestock facilities (e.g.: roofed stalls)
34. Storage facilities
35.Size of the compound, type of house(e.g.: semi-permanent)
36.Water well, irrigation system, etc.
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Comments
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Indicate educational level of household head and skills(e.g.:
retired teacher)
Indicate wealthy status if you consider this to be important(e.g.
:type of roofing for main house)
Indicate affiliations to particular groups within the
community(e.g. :religious)
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CATEGORY
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Sample code
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pH eau
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pH KCl
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C % N % C/N OM
%
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P available/ppm
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Uptaken K+
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RICH
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F91P1
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5,05
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4,89
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5,71
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0,13
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43,90
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9,82
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25,55
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1,245
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F91P2
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5,04
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4,46
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2,48
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0,1
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24,80
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4,27
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23,03
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1,123
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F91P3
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5,35
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5,05
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0,53
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0,08
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6,60
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0,91
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20,29
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0,921
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F77P1
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5,07
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4,51
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5,13
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0,12
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42,77
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8,83
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24,36
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1,011
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F77P2
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5,07
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4,51
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2,62
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0,1
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26,20
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4,51
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22,07
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0,759
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MIDDLE
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F80P1
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4,81
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4,73
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2,97
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0,11
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26,99
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5,11
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23,26
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1,044
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F80P2
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5,14
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4,94
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1,53
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0,09
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16,97
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2,63
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21,25
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0,993
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F80P3
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4,91
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4,69
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0,49
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0,08
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6,14
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0,84
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19,32
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0,744
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F78P1
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5,9
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5,65
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3,97
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0,11
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36,09
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6,83
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23,38
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0,888
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F78P2
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5,23
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5,23
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0,91
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0,09
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10,11
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1,57
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20,81
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0,721
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POOR
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F72P1
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4,09
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4,09
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1,31
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0,08
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16,38
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2,25
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20,120
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0,708
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F72P2
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4,75
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4,69
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0,59
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0,07
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8,39
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1,01
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19,174
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0,642
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F73P1
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6,4
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6,26
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1,06
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0,07
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15,14
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1,82
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21,552
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0,732
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F73P2
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5,94
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5,49
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0,69
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0,06
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11,58
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1,20
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18,026
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0,659
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Appendix 2: Soil analysis results
Appendix 3: Chemical analysis interpretation
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Organic Matter (%)
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Appreciation
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0,5
0,5-1
1-2
2-5
5-8
8-14
>14
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Quite low
Very low
Low
Average
High
Very high
Exceptional
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Total Nitrogen (%)
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Appreciation
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< 0,075
0,075-0,125
>0,125
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Low
Average
High
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Available P (ppm)
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Appreciation
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= 3
3-20
20-50
50-80
= 80
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Very low
Low
Average
High
Very high
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C/N Ratio
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Appreciation
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< 9
9-12
12-17
17-25
> 25
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Very low mineralization
High mineralization
Moderate mineralization
Slow mineralization
Very slow mineralization
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Organic C
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Appreciation
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< 0,5
0,5-1,5
1,5-3,0
> 3,0
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Very low
Low
Average
High
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Echangeable K
(cmol (+)/kg de sol
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Appreciation
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<0.1
0.1-0.2
0.2-0.6
0.6-1.2
>1.2
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Très faible
Faible
Moyen
Elève
Très élevé
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Azote total
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Appreciation
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0.08-0.13
>0.13
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Faible
Moyen
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Source: Mutwewingabo et Rutunga, 1987
Appendix 4: List of farmers interviewed in Shanga
cell
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FARMER' NAME
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CODE
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WEALTH CATEGORY
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1
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MATABARO Francois Xavier
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68
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well-off
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2
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BAMPIRE Veneranda
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130
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well-off
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3
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DEGERI Emmanuel
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100
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well-off
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4
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KAMUGUNGA Vianney
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70
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well-off
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5
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KIMONYO Innocent
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91
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well-off
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6
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MUNYAKAYANZA Laurent
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101
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well-off
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7
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NKOMEJE Narcisse
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102
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well-off
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8
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RUSANGANWA Vianney
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77
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well-off
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9
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SABAGIRIRWA Vincent
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69
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well-off
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10
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BAKUNDUKIZE Athanase
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107
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Middle
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11
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BUTERA J Damascene
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104
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Middle
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12
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HARERIMANA Alexis
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103
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Middle
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13
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KABAYUNDO Stefanie
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79
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Middle
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14
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KARINDA Jean
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115
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Middle
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15
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MBONABUCYA Andre
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74
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Middle
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16
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MUHIRE Desiree
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76
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Middle
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17
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MUKAGASHONGORE Anonciate
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121
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Middle
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18
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MUKAMURIGO Suzane
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84
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Middle
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19
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MUKAMUYANGO Domitilia
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89
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Middle
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20
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MUKANGENZI Laurence
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116
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Middle
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21
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MUREGANSHURO Innocent
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118
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Middle
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22
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NDIKURYAYO Samuel
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131
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Middle
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23
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NKEBUKANDE Gaspard
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105
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Middle
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24
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NYIRANSAGIZA Consensa
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119
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Middle
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25
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NYIRANTAWUBIZERA
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120
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Middle
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26
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RUHORAHOZA Justin
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80
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Middle
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27
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RUKEBESHA Vincent
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117
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Middle
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28
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RUTABAYIKA Boneventure
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123
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Middle
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29
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SABANE Laurent
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78
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Middle
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30
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TEGEJO Emmanuel
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122
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Middle
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31
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VUGUZIGA Timothé
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132
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Middle
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32
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BAGIRISHYA Alphonse
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114
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Poor
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33
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BAVUGIRIJE Simon
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87
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Poor
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34
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DUSABE Patricie
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108
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Poor
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35
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GASAMUNYIGA Gabriel
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128
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Poor
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36
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HABIMANA Leonard
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98
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Poor
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37
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HARERIMANA Elie
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95
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Poor
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38
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IGENORYAYO Alexis
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92
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Poor
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39
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MINANI Jean
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99
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Poor
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40
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MUKAKAYONGA Laurencie
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83
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Poor
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41
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MUKAMURIGO Violette
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109
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Poor
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42
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MUKAMUSONI Velene
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75
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Poor
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43
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MUKAMUVARA Marceline
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113
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Poor
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|
44
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MUKANGOMBWA Agnes
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111
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Poor
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|
45
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MUKARANGO Anonciata
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127
|
Poor
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|
46
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MUKARUGENERA Esperence
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71
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Poor
|
|
47
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MUKARUTESI Winifride
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106
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Poor
|
|
48
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MURENGERA Damien
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94
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Poor
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|
49
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MUSABIMANA Berancille
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88
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Poor
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|
50
|
MYASIRO Celestin
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82
|
Poor
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|
51
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NDAYISABA Boniface
|
90
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Poor
|
|
52
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NIBIVUGIRE Patricie
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81
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Poor
|
|
53
|
NIYIBIZI Andre
|
125
|
Poor
|
|
54
|
NKUSI Emmanuel
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124
|
Poor
|
|
55
|
NTAGANDA Alphonse
|
93
|
Poor
|
|
56
|
NTAKIRUTIMANA Oswald
|
110
|
Poor
|
|
57
|
NTAMWEMEZI Vedaste
|
97
|
Poor
|
|
58
|
NYIRAMIHIGO Judith
|
85
|
Poor
|
|
59
|
NZAMURAMBAHO Innocent
|
126
|
Poor
|
|
60
|
NZEYIMANA Emmanuel
|
73
|
Poor
|
|
61
|
RUTAYISIRE Innocent
|
86
|
Poor
|
|
62
|
RUTESI Bosco
|
72
|
Poor
|
|
63
|
RWABIGWI Francois
|
129
|
Poor
|
|
64
|
SIBOMANA Fidele
|
96
|
Poor
|
|
65
|
TURASENGAMUNGU Stanislas
|
112
|
Poor
|
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