Rainfall variability is one of the most influential climatic factors that determine crop productivity. This study was conducted to analyze rainfall variability and its impact on potato productivity for the period of 2000-2019, and to assess farmer’s perception on impacts of climate variability and evaluate their adaptation measures for potato productivity in Haramaya District. Primary data were obtained from randomly selected farmers through questionnaire, key informants interview and field observation. Secondary data on rainfall and potato production were collected from Ethiopia Meteorological agency and Haramaya District Agriculture Office. Purposive sampling was used to select 362 farmers in the district. Proportionate sampling was used to select the sample of farmers in each of the three kebeles (Tiniqe, Tuji Gabisa and Kuro). The data collected were analyzed using Statistical software SPSS. Annual rainfall and potato yield showed decreasing trend from 2000 to 2019. Annual rainfall trends variability was significant and ranged from -25.25 in 2009 to +48.99 in 2007. Annual Potato yield trends variability was also significant and ranged from -33.14 in 2000 to +60.89 in 2007. Rainfall variations, crop diseases, pests, and high cost of inputs have been the major challenges facing potato production in the study area. Forty three percent (43%) of the respondents agreed that rainfall variation was the main cause of decreased potato yields 24% crop diseases and pests and 15% high cost of inputs 10% inadequate improved seed and 8% soil erosions. From the findings Pearson’s r=0.668 showed that there was significant impact of rainfall variability trend on potato yields. From the findings, the study recommended that soil and water management practices such as mulching, digging of trenches, water harvesting, crop diversification and use of irrigation during the dry spell as adaptation measures should be applied to cope with rainfall variation.
Published in | Journal of Chemical, Environmental and Biological Engineering (Volume 5, Issue 1) |
DOI | 10.11648/j.jcebe.20210501.13 |
Page(s) | 9-22 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2021. Published by Science Publishing Group |
Potato, Rainfall Variability, Haramaya, Perception
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APA Style
Shame Ahmed Adem. (2021). Impacts of Rainfall Variability on Potato Productivity in Haramaya District, Eastern Hararge Zone, Ethiopia. Journal of Chemical, Environmental and Biological Engineering, 5(1), 9-22. https://doi.org/10.11648/j.jcebe.20210501.13
ACS Style
Shame Ahmed Adem. Impacts of Rainfall Variability on Potato Productivity in Haramaya District, Eastern Hararge Zone, Ethiopia. J. Chem. Environ. Biol. Eng. 2021, 5(1), 9-22. doi: 10.11648/j.jcebe.20210501.13
AMA Style
Shame Ahmed Adem. Impacts of Rainfall Variability on Potato Productivity in Haramaya District, Eastern Hararge Zone, Ethiopia. J Chem Environ Biol Eng. 2021;5(1):9-22. doi: 10.11648/j.jcebe.20210501.13
@article{10.11648/j.jcebe.20210501.13, author = {Shame Ahmed Adem}, title = {Impacts of Rainfall Variability on Potato Productivity in Haramaya District, Eastern Hararge Zone, Ethiopia}, journal = {Journal of Chemical, Environmental and Biological Engineering}, volume = {5}, number = {1}, pages = {9-22}, doi = {10.11648/j.jcebe.20210501.13}, url = {https://doi.org/10.11648/j.jcebe.20210501.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jcebe.20210501.13}, abstract = {Rainfall variability is one of the most influential climatic factors that determine crop productivity. This study was conducted to analyze rainfall variability and its impact on potato productivity for the period of 2000-2019, and to assess farmer’s perception on impacts of climate variability and evaluate their adaptation measures for potato productivity in Haramaya District. Primary data were obtained from randomly selected farmers through questionnaire, key informants interview and field observation. Secondary data on rainfall and potato production were collected from Ethiopia Meteorological agency and Haramaya District Agriculture Office. Purposive sampling was used to select 362 farmers in the district. Proportionate sampling was used to select the sample of farmers in each of the three kebeles (Tiniqe, Tuji Gabisa and Kuro). The data collected were analyzed using Statistical software SPSS. Annual rainfall and potato yield showed decreasing trend from 2000 to 2019. Annual rainfall trends variability was significant and ranged from -25.25 in 2009 to +48.99 in 2007. Annual Potato yield trends variability was also significant and ranged from -33.14 in 2000 to +60.89 in 2007. Rainfall variations, crop diseases, pests, and high cost of inputs have been the major challenges facing potato production in the study area. Forty three percent (43%) of the respondents agreed that rainfall variation was the main cause of decreased potato yields 24% crop diseases and pests and 15% high cost of inputs 10% inadequate improved seed and 8% soil erosions. From the findings Pearson’s r=0.668 showed that there was significant impact of rainfall variability trend on potato yields. From the findings, the study recommended that soil and water management practices such as mulching, digging of trenches, water harvesting, crop diversification and use of irrigation during the dry spell as adaptation measures should be applied to cope with rainfall variation.}, year = {2021} }
TY - JOUR T1 - Impacts of Rainfall Variability on Potato Productivity in Haramaya District, Eastern Hararge Zone, Ethiopia AU - Shame Ahmed Adem Y1 - 2021/03/17 PY - 2021 N1 - https://doi.org/10.11648/j.jcebe.20210501.13 DO - 10.11648/j.jcebe.20210501.13 T2 - Journal of Chemical, Environmental and Biological Engineering JF - Journal of Chemical, Environmental and Biological Engineering JO - Journal of Chemical, Environmental and Biological Engineering SP - 9 EP - 22 PB - Science Publishing Group SN - 2640-267X UR - https://doi.org/10.11648/j.jcebe.20210501.13 AB - Rainfall variability is one of the most influential climatic factors that determine crop productivity. This study was conducted to analyze rainfall variability and its impact on potato productivity for the period of 2000-2019, and to assess farmer’s perception on impacts of climate variability and evaluate their adaptation measures for potato productivity in Haramaya District. Primary data were obtained from randomly selected farmers through questionnaire, key informants interview and field observation. Secondary data on rainfall and potato production were collected from Ethiopia Meteorological agency and Haramaya District Agriculture Office. Purposive sampling was used to select 362 farmers in the district. Proportionate sampling was used to select the sample of farmers in each of the three kebeles (Tiniqe, Tuji Gabisa and Kuro). The data collected were analyzed using Statistical software SPSS. Annual rainfall and potato yield showed decreasing trend from 2000 to 2019. Annual rainfall trends variability was significant and ranged from -25.25 in 2009 to +48.99 in 2007. Annual Potato yield trends variability was also significant and ranged from -33.14 in 2000 to +60.89 in 2007. Rainfall variations, crop diseases, pests, and high cost of inputs have been the major challenges facing potato production in the study area. Forty three percent (43%) of the respondents agreed that rainfall variation was the main cause of decreased potato yields 24% crop diseases and pests and 15% high cost of inputs 10% inadequate improved seed and 8% soil erosions. From the findings Pearson’s r=0.668 showed that there was significant impact of rainfall variability trend on potato yields. From the findings, the study recommended that soil and water management practices such as mulching, digging of trenches, water harvesting, crop diversification and use of irrigation during the dry spell as adaptation measures should be applied to cope with rainfall variation. VL - 5 IS - 1 ER -