Volume 4, Issue 2, June 2018, Page: 38-50
Longitudinal Analysis of Cereal Yields in Ghana
Alfred Kwabena Amoah, Ghana National Ambulance Service, Brong Ahafo Regional Administration, Sunyani, Ghana
Received: Sep. 13, 2018;       Accepted: Oct. 6, 2018;       Published: Nov. 14, 2018
DOI: 10.11648/j.ijsd.20180402.12      View  82      Downloads  12
Abstract
The aim of this study was to investigate cereal crop yields in Ghana. It was set out to specifically determine whether there is a significant difference in the yields across the ten regions in Ghana and also find out an evolution in the yields among the regions. A multivariate data of two major cereal crops (Maize and Rice) produced and consumed in Ghana from 2005 to 2014 was obtained from Statistical Research and Information Department (SRID) of Ministry of Food and Agriculture (MOFA). Multivariate Analysis of Variance (MANOVA) model as summarized by Casella & Berger (2002) and Linear Mixed Model (LMM) by Faraway (2007) were employed for the study. Diagnostic plots for the fitted LMM revealed a valid model for the analysis. The study revealed that significant differences exist in the yields of the two major cereal crops in all the regions in Ghana. Further analysis by LMM indicated that the yields of maize and rice varied between and within the regions of Ghana with maize yields having much less variability than rice yields. It also indicated that there is consistent decelerating trend in maize yields and gradual increasing trend in rice yields across all the regions in Ghana. Based on these findings, we recommend that intensive support must be given to farmers who engage in cereal crops production in all the regions in Ghana to help reduce this variability in the two major cereal crop yields (maize and rice).
Keywords
Longitudinal Analysis, Multivariate Analysis of Variance, Linear Mixed Model, Yields, Rice, Maize
To cite this article
Alfred Kwabena Amoah, Longitudinal Analysis of Cereal Yields in Ghana, International Journal of Statistical Distributions and Applications. Vol. 4, No. 2, 2018, pp. 38-50. doi: 10.11648/j.ijsd.20180402.12
Copyright
Copyright © 2018 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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