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.
Students at universities are becoming recognized as a vulnerable populace, with much greater rates of depression and workload/activities than the overall population amidst COVID-19. As such, the present research intends to document the extent of self-reported impact on university students' everyday accademic lives and incomes. In August of 2021, a cross-sectional, self-administered internet-based poll was conducted among Ghanaian university students in Kumasi. The data was retrieved from the internet using Microsoft Excel and then analyzed using STATA software version 14. Both univariate and logistic regression analysis were performed, with a p-value<0.05 regarded statistically significant (*). The study included 430 participants, majority of whom were single (98.6%), young adults (89.8%), and Christians (90.7%). This survey found that 52.1% said the COVID-19 epidemic has a highly significant impact on their daily activities and income. Among other risk factors considered by the study, only students with a perceived risk of COVID-19 infection are approximately three times more likely to be affected by the pandemic in their daily academic activities and incomes than those who were not (Adj. OR = 2.516, 95CI% = 1.551–4.081, p < 0.001). The knowledge advanced by this study will educate stakeholders and aid policy-makers in higher education in improving public educational provisions. The results of this study may be used to predict the future effects of the pandemic. The novelty of this research also lies in its self-reported approach to analyzing the effect of the pandemic on the income and everyday academic activities of university students in Kumasi.
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