Land degradation is one of the major challenges in agricultural production in many parts of the world, especially in developing nations like Ethiopia. Even though a number of soil and water conservation methods were introduced to combat land degradation, adoption of these practices remains below expectations. This research was conducted in the Karita-wuha watershed, West Belessa district Ethiopia to asses farmers’ response, identify SWC measures, examine correlation between improved SWC practices and major factors of SWC practice. Structured questionnaire and focus group discussion methods were used to collect the necessary information from farm households. The watershed was blocked in slope classes and then from each slope categories 50 percent of household heads who have farmland were selected using systematic random sampling technique. A total of 134 households were interviewed and several fields were visited during transect walks. Pearson correlation and Logit regression model were used for analyzing correlations among household characteristics, area, tropical livestock unit (TLU), extension support, plot characteristics and the adoption of improved SWC practices.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Land degradation is one of the major challenges in agricultural production in many parts of the world, especially in developing nations like Ethiopia. Even though a number of soil and water conservation methods were introduced to combat land degradation, adoption of these practices remains below expectations. This research was conducted in the Karita-wuha watershed, West Belessa district Ethiopia to asses farmers¿ response, identify SWC measures, examine correlation between improved SWC practices and major factors of SWC practice. Structured questionnaire and focus group discussion methods were used to collect the necessary information from farm households. The watershed was blocked in slope classes and then from each slope categories 50 percent of household heads who have farmland were selected using systematic random sampling technique. A total of 134 households were interviewed and several fields were visited during transect walks. Pearson correlation and Logit regression model were used for analyzing correlations among household characteristics, area, tropical livestock unit (TLU), extension support, plot characteristics and the adoption of improved SWC practices. 72 pp. Englisch. Seller Inventory # 9786202003421
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alemu Bizuneh MulieMulie Alemu Bizuneh was born on July 12, 1982 North Gondar Zone Dembia District, Ethiopia. Completed his senior secondary school in 2001 in Kolladiba, in 2005 received degree from Debube University in plant product. Seller Inventory # 494626929
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Land degradation is one of the major challenges in agricultural production in many parts of the world, especially in developing nations like Ethiopia. Even though a number of soil and water conservation methods were introduced to combat land degradation, adoption of these practices remains below expectations. This research was conducted in the Karita-wuha watershed, West Belessa district Ethiopia to asses farmers' response, identify SWC measures, examine correlation between improved SWC practices and major factors of SWC practice. Structured questionnaire and focus group discussion methods were used to collect the necessary information from farm households. The watershed was blocked in slope classes and then from each slope categories 50 percent of household heads who have farmland were selected using systematic random sampling technique. A total of 134 households were interviewed and several fields were visited during transect walks. Pearson correlation and Logit regression model were used for analyzing correlations among household characteristics, area, tropical livestock unit (TLU), extension support, plot characteristics and the adoption of improved SWC practices.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Seller Inventory # 9786202003421
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Land degradation is one of the major challenges in agricultural production in many parts of the world, especially in developing nations like Ethiopia. Even though a number of soil and water conservation methods were introduced to combat land degradation, adoption of these practices remains below expectations. This research was conducted in the Karita-wuha watershed, West Belessa district Ethiopia to asses farmers¿ response, identify SWC measures, examine correlation between improved SWC practices and major factors of SWC practice. Structured questionnaire and focus group discussion methods were used to collect the necessary information from farm households. The watershed was blocked in slope classes and then from each slope categories 50 percent of household heads who have farmland were selected using systematic random sampling technique. A total of 134 households were interviewed and several fields were visited during transect walks. Pearson correlation and Logit regression model were used for analyzing correlations among household characteristics, area, tropical livestock unit (TLU), extension support, plot characteristics and the adoption of improved SWC practices. Seller Inventory # 9786202003421
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Adoption of Soil and Water Conservation Practices on Farmlands | The Case of Karita Wuha Watershed, West Belessa District, North Gondar, Ethiopia | Mulie Alemu Bizuneh | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202003421 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 120446339