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Small ruminant research and development in Africa: proceedings of the Third Biennial Conference of the African Small Ruminant Research Network : UICC, Kampala, Uganda, 5-9 December 1994

Conference Papers & Reports
Dezembro, 1996

This volume contains papers and abstracts of the Third Biennial Conference of the African Small Ruminant Research Network. In addition to the keynote address, there are nine papers on Genetic Resources Enhancement and Utilisation, seven papers on Production Systems, Policy and Economics, six papers on Management and Health, 12 papers and Feeding Systems and 10 papers on Performance and Reproduction. Six poster abstracts covering the above topics add to the volume.

Spatial correlates of land-use changes in the Maasai-Steppe of Tanzania: Implications for conservation and environmental planning

Journal Articles & Books
Julho, 2011
Tanzania
África
África Oriental

Spatially explicit models are becoming increasingly important tools for simulating land-use change. In this study, we formulated and tested models that incorporated spatial correlates of agricultural expansion and used them to predict local- and landscape-scale patterns of agricultural land-use change and its implications in the Maasai-Steppe of Northern Tanzania. We evaluated the relationship between agricultural land-use and its spatial correlates using Multiple Logistic Regression on data derived from satellite imageries for the year 2000.

Socio-economic characteristics and perceptions of cattle keepers and constraints to cattle production in western Kenya

Journal Articles & Books
Junho, 2011
Quênia
África
África Oriental

A cross-sectional survey was done in two Districts in Western Kenya to determine the socio-economic characteristics and perceptions of the cattle types kept. This involved socio-economic profiles of households, herd structure, reasons for keeping specific types of cattle and production and marketing constraints together with desired policy interventions to address the constraints. A total of 210 farmers randomly selected were interviewed. The data was analysed using Statistical Analysis System program. The majority of farmers (84%) were males.