For Africa’s developing countries the agricultural system is among the most vulnerable due to extensive use of rainfed crop production, presence of droughts and floods that affect crops as well as initial poverty of population that limits the capacity to adapt. In this study were realized the analysis of long-term rainfall data and its impact on main crop products in Rwanda. Some rainfall data was infilled for the period of 1926-2013. It was done using the monitoring data of a neighbor weather station with relatively the same elevation above sea level and with a monitoring record of no less than 40 years. The neighboring station with the best correlation was selected for the infilling. The missing rainfall data was infilled for all the stations with resulting regression coefficients ranging from 0.55 to 0.80. This indicates the acceptability of the performed regression. Also were constructed different-cumulative curves of rainfall and sort out cycles of decline and increment of rainfall. Similar different-cumulative curves were constructed for main crops in Rwanda. Correlation and regression analysis were used to determine the relationship between rainfall, arable land expansion, fertilizer use and crop yield. Particularly for Rwandan conditions, the rainfall variations are determinant for the crop yield increment. The intensification of extreme flood’s and, as rule, flooding of agricultural lands in connection with rainfall augmentation was also allocated.
Published in | Earth Sciences (Volume 4, Issue 3) |
DOI | 10.11648/j.earth.20150403.15 |
Page(s) | 120-128 |
Creative Commons |
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), 2015. Published by Science Publishing Group |
Rainfall Data Reconstruction, Different-Cumulative Curves, Rainfall Augmentation, Crop Production
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APA Style
Kseniia Mikova, Enock Makupa, John Kayumba. (2015). Effect of Climate Change on Crop Production in Rwanda. Earth Sciences, 4(3), 120-128. https://doi.org/10.11648/j.earth.20150403.15
ACS Style
Kseniia Mikova; Enock Makupa; John Kayumba. Effect of Climate Change on Crop Production in Rwanda. Earth Sci. 2015, 4(3), 120-128. doi: 10.11648/j.earth.20150403.15
AMA Style
Kseniia Mikova, Enock Makupa, John Kayumba. Effect of Climate Change on Crop Production in Rwanda. Earth Sci. 2015;4(3):120-128. doi: 10.11648/j.earth.20150403.15
@article{10.11648/j.earth.20150403.15, author = {Kseniia Mikova and Enock Makupa and John Kayumba}, title = {Effect of Climate Change on Crop Production in Rwanda}, journal = {Earth Sciences}, volume = {4}, number = {3}, pages = {120-128}, doi = {10.11648/j.earth.20150403.15}, url = {https://doi.org/10.11648/j.earth.20150403.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20150403.15}, abstract = {For Africa’s developing countries the agricultural system is among the most vulnerable due to extensive use of rainfed crop production, presence of droughts and floods that affect crops as well as initial poverty of population that limits the capacity to adapt. In this study were realized the analysis of long-term rainfall data and its impact on main crop products in Rwanda. Some rainfall data was infilled for the period of 1926-2013. It was done using the monitoring data of a neighbor weather station with relatively the same elevation above sea level and with a monitoring record of no less than 40 years. The neighboring station with the best correlation was selected for the infilling. The missing rainfall data was infilled for all the stations with resulting regression coefficients ranging from 0.55 to 0.80. This indicates the acceptability of the performed regression. Also were constructed different-cumulative curves of rainfall and sort out cycles of decline and increment of rainfall. Similar different-cumulative curves were constructed for main crops in Rwanda. Correlation and regression analysis were used to determine the relationship between rainfall, arable land expansion, fertilizer use and crop yield. Particularly for Rwandan conditions, the rainfall variations are determinant for the crop yield increment. The intensification of extreme flood’s and, as rule, flooding of agricultural lands in connection with rainfall augmentation was also allocated.}, year = {2015} }
TY - JOUR T1 - Effect of Climate Change on Crop Production in Rwanda AU - Kseniia Mikova AU - Enock Makupa AU - John Kayumba Y1 - 2015/06/11 PY - 2015 N1 - https://doi.org/10.11648/j.earth.20150403.15 DO - 10.11648/j.earth.20150403.15 T2 - Earth Sciences JF - Earth Sciences JO - Earth Sciences SP - 120 EP - 128 PB - Science Publishing Group SN - 2328-5982 UR - https://doi.org/10.11648/j.earth.20150403.15 AB - For Africa’s developing countries the agricultural system is among the most vulnerable due to extensive use of rainfed crop production, presence of droughts and floods that affect crops as well as initial poverty of population that limits the capacity to adapt. In this study were realized the analysis of long-term rainfall data and its impact on main crop products in Rwanda. Some rainfall data was infilled for the period of 1926-2013. It was done using the monitoring data of a neighbor weather station with relatively the same elevation above sea level and with a monitoring record of no less than 40 years. The neighboring station with the best correlation was selected for the infilling. The missing rainfall data was infilled for all the stations with resulting regression coefficients ranging from 0.55 to 0.80. This indicates the acceptability of the performed regression. Also were constructed different-cumulative curves of rainfall and sort out cycles of decline and increment of rainfall. Similar different-cumulative curves were constructed for main crops in Rwanda. Correlation and regression analysis were used to determine the relationship between rainfall, arable land expansion, fertilizer use and crop yield. Particularly for Rwandan conditions, the rainfall variations are determinant for the crop yield increment. The intensification of extreme flood’s and, as rule, flooding of agricultural lands in connection with rainfall augmentation was also allocated. VL - 4 IS - 3 ER -