Impact of Agricultural Practices on Agro-ecosystem in Sudan

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Details

This study was designed to assess change in agricultural practices on the agro ecosystem Khor Abo Habil, Sudan. The study based on primary data. A stratified sampling method was followed to select 200 farmers. Statistical Packages for Social Science (SPSS) was used to analyze the data. Descriptive statistics& McNemar and Roh test were used to interpret the variables of the study. The study showed that there was a highly statistically significant difference in the per cent of tillage practice, weed control and harvest before and after the construction of the Tandalti Dam (P. value = 0.000 < 0.05) at 0.05significant level. Farmers had many practices to adapt with change in agro-ecosystem. Most of this practices were significant before and after of the construction of the Tandalti Dam. Moreover, the agricultural resilience of farmers in semi-arid Khor Abu Habil was built through enhancing the agricultural productivity and increasing the capability of farmers to adapt with change in agro-ecosystem Depending on the results, it was highly recommended that developing new agricultural policies, which enhance the agricultural resilience in semi-arid Khor Abu Habil region.

Autorentext

Dr Reem Fadul Kabbar (Ph.D. &M.Sc.) Assistant prof in Department Agricultural Extension &Rural Development, Faculty of Agriculture, University of Khartoum, ,Sudan. Area of interested rural development, Agro-ecosystem studies. Poverty, food security.

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Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 113g
    • Untertitel Impact of Agricultural Practices on Agro-ecosystem in Khor Abo Habil White Nile, Sudan
    • Autor Reem Fadul Kabbar
    • Titel Impact of Agricultural Practices on Agro-ecosystem in Sudan
    • Veröffentlichung 14.01.2021
    • ISBN 6203201995
    • Format Kartonierter Einband
    • EAN 9786203201994
    • Jahr 2021
    • Größe H220mm x B150mm x T4mm
    • Anzahl Seiten 64
    • GTIN 09786203201994

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