World Soil Resources Reports | 71/8 |
AGRO-ECOLOGICAL LAND RESOURCES ASSESSMENT FOR AGRICULTURAL DEVELOPMENT PLANNING A CASE STUDY OF KENYA RESOURCES DATA BASE AND LAND PRODUCTIVITY Technical Annex 8 |
Crop Productivity Assessment:
Results at District Level
G.W. Fischer, M.M. Shah, A.H. Kassam and H.T. van Velthuizen
Any part of the computer programs and the corresponging data sets used in the assessment may be modified in the light of new knowledge and/or new objectives. The model is part of a larger district and national planning tool and is expected to be expanded and refined with use.
The designations employed and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations or NASA concerning the legal or constitutional status of any country, territory, city or area of land or sea or of its authorities, or concerning the delimitation of its frontiers or boundaries.
M-51
ISBN 92-5103436-2
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Land and Water Development Division
Food and Agriculture Organization of the United Nations
and
International Institute for Applied Systems Analysis
1991
© FAO 1993
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1.1 Overview of the AEZ-CCS Software Package
2. CROP PRODUCTIVITY ASSESSMENT -5 a brief summary of the AEZ approach
2.7 Crop Productivity Assessment and Production Potential
3. CROP PRODUCTIVITY ASSESSMENT - results at national level
3.1 Putting It All Together - An Example
Appendixes
A Kenya country case study coding schemes
B Crop-wise estimates of rainfed arable land and production potential in Kenya -assumption set A
C Crop-wise estimates of rainfed arable land and production potential in Kenya -assumption set B
D Crop-wise estimates of rainfed arable land and production potential in Kenya - assumption set C
Figures
1.1 Overview of AEZ-CCS software package
3.1 Generalized land suitability for rainfed crop production 18
3.2 Generalized land suitability for rainfed pastures 19
3.3 Generalized land suitability for rainfed fuelwood production 20
Tables
3.1 Maize production potential (t/ha) - an example 16
3.2 Results of crop productivity assessment -assumption set A 22
3.3 Results of crop productivity assessment -assumption set B 25
3.4 Results of crop productivity assessment -assumption set C 26
A.1 Kenya district coding scheme 32