The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana
This study examined the consequences of changes in minimum temperature, maximum temperature, relative humidity, and rainfall on the yields of maize, cassava, and yam per hectare of land in the Ashanti Region of Ghana. Correlation analysis of each climatic condition on the yield of each crop per hect...
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Format: | Article |
Language: | English |
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Wiley
2022-01-01
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Series: | International Journal of Agronomy |
Online Access: | http://dx.doi.org/10.1155/2022/9077383 |
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author | Harriet Achiaa Dwamena Kassim Tawiah Amanda Serwaa Akuoko Kodua |
author_facet | Harriet Achiaa Dwamena Kassim Tawiah Amanda Serwaa Akuoko Kodua |
author_sort | Harriet Achiaa Dwamena |
collection | DOAJ |
description | This study examined the consequences of changes in minimum temperature, maximum temperature, relative humidity, and rainfall on the yields of maize, cassava, and yam per hectare of land in the Ashanti Region of Ghana. Correlation analysis of each climatic condition on the yield of each crop per hectare of land revealed that each of the climatic conditions was significant in predicting the crop yields. Separate multiple linear regression models were obtained for crop yield per hectare of land under all the climatic conditions. The regression models showed that an increase in maximum temperature reduces the yield of all the crops, whereas an increase in minimum temperature reduces only the yield of maize. Increases in relative humidity reduce the yield of maize alone, while increases in rainfall reduce the yield of only cassava. The significant multiple linear regression model for each crop yield indicated that 63.8% of the variations in the yield of maize per hectare of land, 74.3% of the variations in the yield of cassava per hectare of land, and 64.2% of the variations in the yield of yam per hectare of land are accounted for by minimum temperature, maximum temperature, relative humidity, and rainfall. We encourage the Government of Ghana, the Ministry of Food and Agriculture, and all stakeholders in the agriculture sector to increase their campaign on the consequences of climate change on the yield of these crops. They should educate farmers on the effects of overreliance on rainfed and traditional agricultural methods, introduce them to modern methods of agriculture, and provide them with varieties of these crops with higher-yielding capacities in higher temperatures. |
format | Article |
id | doaj-art-8e274e2964344efc910cce3b345415b0 |
institution | Kabale University |
issn | 1687-8167 |
language | English |
publishDate | 2022-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Agronomy |
spelling | doaj-art-8e274e2964344efc910cce3b345415b02025-02-03T00:59:06ZengWileyInternational Journal of Agronomy1687-81672022-01-01202210.1155/2022/9077383The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of GhanaHarriet Achiaa Dwamena0Kassim Tawiah1Amanda Serwaa Akuoko Kodua2Biometrics UnitDepartment of Statistics and Actuarial ScienceDepartment of Statistics and Actuarial ScienceThis study examined the consequences of changes in minimum temperature, maximum temperature, relative humidity, and rainfall on the yields of maize, cassava, and yam per hectare of land in the Ashanti Region of Ghana. Correlation analysis of each climatic condition on the yield of each crop per hectare of land revealed that each of the climatic conditions was significant in predicting the crop yields. Separate multiple linear regression models were obtained for crop yield per hectare of land under all the climatic conditions. The regression models showed that an increase in maximum temperature reduces the yield of all the crops, whereas an increase in minimum temperature reduces only the yield of maize. Increases in relative humidity reduce the yield of maize alone, while increases in rainfall reduce the yield of only cassava. The significant multiple linear regression model for each crop yield indicated that 63.8% of the variations in the yield of maize per hectare of land, 74.3% of the variations in the yield of cassava per hectare of land, and 64.2% of the variations in the yield of yam per hectare of land are accounted for by minimum temperature, maximum temperature, relative humidity, and rainfall. We encourage the Government of Ghana, the Ministry of Food and Agriculture, and all stakeholders in the agriculture sector to increase their campaign on the consequences of climate change on the yield of these crops. They should educate farmers on the effects of overreliance on rainfed and traditional agricultural methods, introduce them to modern methods of agriculture, and provide them with varieties of these crops with higher-yielding capacities in higher temperatures.http://dx.doi.org/10.1155/2022/9077383 |
spellingShingle | Harriet Achiaa Dwamena Kassim Tawiah Amanda Serwaa Akuoko Kodua The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana International Journal of Agronomy |
title | The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana |
title_full | The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana |
title_fullStr | The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana |
title_full_unstemmed | The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana |
title_short | The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana |
title_sort | effect of rainfall temperature and relative humidity on the yield of cassava yam and maize in the ashanti region of ghana |
url | http://dx.doi.org/10.1155/2022/9077383 |
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