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Assessing the performance of agricultural advisory models for scaling-out conservation agriculture with trees in East Africa (Kenya)

University of New England, Australia
Bourne, Mieke ; Prior, Julian ; Lobry, De
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25952/5def2986b699c&rft.title=Assessing the performance of agricultural advisory models for scaling-out conservation agriculture with trees in East Africa (Kenya)&rft.identifier=10.25952/5def2986b699c&rft.publisher=University of New England, Australia&rft.description=A survey of 292 respondents, that were members of farmer groups, and had been provided advisory services and CAWT training under either Landcare, FFS or traditional Ministry of Agriculture models took place (the survey is an appendix within the thesis). Respondents were selected using gender-based stratification and then random selection. Baseline and endline (post-intervention) data was collected from farmers that were within selected groups and were offered training on CAWT. Data was collected on a number of household parameters, land management, access to information and training and social networks for information sharing. The data sets are separated into the data used for the regression analysis on agroforestry and Conservation Agriculture understanding and practice and social network analysis (SNA).&rft.creator=Bourne, Mieke &rft.creator=Prior, Julian &rft.creator=Lobry, De &rft.date=2018&rft_rights=Rights holder: Mieke Bourne&rft_rights=Rights holder: Mieke Bourne&rft_subject=conservation agriculture with trees&rft_subject=agricultural advisory services&rft_subject=social network analysis&rft_subject=Natural Resource Management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Sustainable Agricultural Development&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=AGRICULTURE, LAND AND FARM MANAGEMENT&rft_subject=Expanding Knowledge in the Agricultural and Veterinary Sciences&rft_subject=EXPANDING KNOWLEDGE&rft_subject=EXPANDING KNOWLEDGE&rft_subject=Education and Training Systems not elsewhere classified&rft_subject=EDUCATION AND TRAINING&rft_subject=EDUCATION AND TRAINING SYSTEMS&rft.type=dataset&rft.language=English Access the data
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Rights holder: Mieke Bourne

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A survey of 292 respondents, that were members of farmer groups, and had been provided advisory services and CAWT training under either Landcare, FFS or traditional Ministry of Agriculture models took place (the survey is an appendix within the thesis). Respondents were selected using gender-based stratification and then random selection. Baseline and endline (post-intervention) data was collected from farmers that were within selected groups and were offered training on CAWT. Data was collected on a number of household parameters, land management, access to information and training and social networks for information sharing. The data sets are separated into the data used for the regression analysis on agroforestry and Conservation Agriculture understanding and practice and social network analysis (SNA).

Notes

Funding SourceThe European Union Commission (project COFIN-ECG-47-ICRAF), through the International Fund for Agricultural Development

Issued: 2018

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Agricultural and Veterinary Sciences | Agriculture, Land and Farm Management | Education and Training | Education and Training Systems | Environmental Science and Management | Environmental Sciences | Expanding Knowledge | Expanding Knowledge | Education and Training Systems Not Elsewhere Classified | Expanding Knowledge in the Agricultural and Veterinary Sciences | Natural Resource Management | Sustainable Agricultural Development | agricultural advisory services | conservation agriculture with trees | social network analysis |

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