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Research Article |

Farmers' Perceptions and Improving Agricultural Productivity in Saline Soils in Northern Ethiopia

The aim of this study was to measure farmers' perceptions of the presence of salinity in their croplands and its impact on agricultural production and household food security. The survey data was collected from a total of 101 farmers from Raya-Alamata district in Ethiopia. Farmers were selected using a random sample from a household list. Focus group interviews were conducted with farmers in each district to explore their perceptions of soil salinity, its impacts and their adaptation strategies. Data were collected using a semi-structured questionnaire and analyzed using SPSS descriptive statistics and chi-square test. Farmers' responses showed they were concerned about increasing problems with soil salinity and its impact on the productivity and well-being of their crops. The results showed that observing the white crust (91.4% )and dark brown color of the soil(5.5%) are the main indicators farmers use to determine the salinity in their fields. Irrigation water quality (97.4%) and poor irrigation practices (96.2%) are considered to be the main causes of salinity development. Farmers' perceptions of salinity should be used by various stakeholders as a starting point for developing Strategies for salt-affected areas.

Soil Salinity, Food Security, Coping Strategies, Farmers’ Perception

APA Style

Yenewa, W. (2024). Farmers' Perceptions and Improving Agricultural Productivity in Saline Soils in Northern Ethiopia. International Journal of Agricultural Economics, 9(1), 11-15. https://doi.org/10.11648/j.ijae.20240901.12

ACS Style

Yenewa, W. Farmers' Perceptions and Improving Agricultural Productivity in Saline Soils in Northern Ethiopia. Int. J. Agric. Econ. 2024, 9(1), 11-15. doi: 10.11648/j.ijae.20240901.12

AMA Style

Yenewa W. Farmers' Perceptions and Improving Agricultural Productivity in Saline Soils in Northern Ethiopia. Int J Agric Econ. 2024;9(1):11-15. doi: 10.11648/j.ijae.20240901.12

Copyright © 2024 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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