Overview

More than three decades of systematic research by the Kenya Agricultural Research Institute (KARI), have enabled the rapid development and successful transfer of maize technology in Kenya, which parallels the rapid spread of hybrid maize in the USA. However, during this time, significant land reform and other socio-economic changes have occurred. The Kenya Maize Data Base Project (MDBP) was established in 1992 with the help of the Rockefeller Foundation and the International Maize and Wheat Improvement Centre (CIMMYT), to utilize the latest technology in order to meet the challenges presented by these changes. This book describes in detail and discusses the development and uses of this database, which uses spatial analysis to integrate data from Geographical Information Systems (GIS) with the results of biological experiments, socio-economic statistics (including interviews with farmers) and agroclimatic information. This provides a planning tool for targeting new technology to the needs of farmers, by enabling KARI to establish the extend of maize cultivation to a high degree of accuracy, characterize agroclimatic zones and further superimpose corresponding datasets. This represents an interdisciplinary effort at a national scale. The findings presented have international implications and should be useful reading for maize agronomists, crop modellers, agricultural and development economists, extension workers and planners and should be of interest to all users of GIS.

Full Product Details

Author:   R. M. Hassan (University of Pretoria, South Africa) ,  R. M. Hassan (University of Pretoria, South Africa)
Publisher:   CABI Publishing
Imprint:   CABI Publishing
Dimensions:   Width: 17.20cm , Height: 2.00cm , Length: 24.40cm
Weight:   0.612kg
ISBN:  

9780851992877

ISBN 10:   0851992870
Pages:   256
Publication Date:   01 June 1998
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1: Introduction and Methods 2: A New Approach to Securing Sustained Growth in Kenya's Maize Sector, 3: Classifying Maize Production Zones in Kenya through Multivariate Cluster Analysis, 4: The Spatial Sampling Frame and Design for Farmer and Village Surveys, 5: Combining Geo-referenced Survey Data with Agroclimatic Attributes to Characterize Maize Production Systems in Kenya, 6: Ex Ante Research Evaluation and Priority Setting 7: Relevance of Maize Research in Kenya to Maize Production Problems Perceived by Farmers, 8: Estimating Potential Benefits from Research and Setting Research Priorities for Maize in Kenya, 9: Patterns of Maize Technology Diffusion and the Impact of Research 10: Adoption Patterns and Performance of Improved Maize in Kenya, 11: Determinants of Fertilizer Use and the Gap between Farmers' Maize Yields and Potential Yields in Kenya, 12: Determinants of the Incidence and Severity of Striga Infestation of Maize in Kenya, 13: Availability and Effectiveness of Agricultural Extension Services for Maize Farmers in Kenya, 14: Conclusions Current Challenges and Strategic Future Choices for Maize Research and Policy in Kenya: A Synthesis of the Maize Data Base Project Methods and Results,

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