Survey Data on Influence of Sustainable Land Management Practices on Dairy farming in Baringo County
Description
This data answers the following questions: What are the types of SLM practices adopted in the study area? What are the factors that motivated farmers to adopt SLM practices? What are the challenges that farmers experience in the course of adopting SLM practices? What is the influence of sustainable land management practices on milk yields? The data include socioeconomic aspects of dairy farmers, general dairy farming characteristics, sustainable land management (SLM) practices and milk yields obtained by farmers in litres per cow per day. The findings indicate that: Fodder preservation and cover crops significantly increased milk yields in ASAL areas Extension support and Friesian breeds strongly enhanced milk production High costs and land sizes limit adoption of Sustainable land management practices Farmers adopt Sustainable land management practices to increase milk production This data can be used by researchers, dairy cooperatives and county governments to inform decision making in the dairy sector.
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Steps to reproduce
The study employed multi-stage sampling techniques: Purposive sampling was used to specifically focus on Baringo County as it has high potential for dairy farming. Eldama Ravine was purposively selected because it’s the leading Sub- County in milk production in Baringo County. Mogotio was selected as it is the second largest producers of dairy farming in Baringo County. The data collection tool was a questionnaire which was uploaded in the kobotoolbox app and accessed via mobile phones. The sample size was 257 dairy farmers (135 from Mumberes and 122 from Mogotio). The list of target population of dairy farmers was obtained from Mumberes and Mogotio Farmers Cooperative Societies. Each dairy farming household was assigned a unique ID and the sample size was achieved by use of a simple random number generator. Only dairy farmers who kept a minimum of one dairy cow were included in this study.
Institutions
- Egerton University
Categories
Funders
- This research was funded by a grant from the Mastercard Foundation to RUFORUM to implement the TAGDev 2.0 programme at Egerton University.