Longitudinal Analysis of Cereal Yields in Ghana

Alfred Kwabena Amoah

doi:doi:10.11648/j.ijsd.20180402.12

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Longitudinal Analysis of Cereal Yields in Ghana

Alfred Kwabena Amoah

Published in International Journal of Statistical Distributions and Applications (Volume 4, Issue 2)

Received: 13 September 2018 Accepted: 6 October 2018 Published: 14 November 2018

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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).

Published in	International Journal of Statistical Distributions and Applications (Volume 4, Issue 2)
DOI	10.11648/j.ijsd.20180402.12
Page(s)	38-50
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.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Longitudinal Analysis, Multivariate Analysis of Variance, Linear Mixed Model, Yields, Rice, Maize

References

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Alfred Kwabena Amoah. (2018). Longitudinal Analysis of Cereal Yields in Ghana. International Journal of Statistical Distributions and Applications, 4(2), 38-50. https://doi.org/10.11648/j.ijsd.20180402.12

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ACS Style

Alfred Kwabena Amoah. Longitudinal Analysis of Cereal Yields in Ghana. Int. J. Stat. Distrib. Appl. 2018, 4(2), 38-50. doi: 10.11648/j.ijsd.20180402.12

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AMA Style

Alfred Kwabena Amoah. Longitudinal Analysis of Cereal Yields in Ghana. Int J Stat Distrib Appl. 2018;4(2):38-50. doi: 10.11648/j.ijsd.20180402.12

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@article{10.11648/j.ijsd.20180402.12,
  author = {Alfred Kwabena Amoah},
  title = {Longitudinal Analysis of Cereal Yields in Ghana},
  journal = {International Journal of Statistical Distributions and Applications},
  volume = {4},
  number = {2},
  pages = {38-50},
  doi = {10.11648/j.ijsd.20180402.12},
  url = {https://doi.org/10.11648/j.ijsd.20180402.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20180402.12},
  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).},
 year = {2018}
}

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TY  - JOUR
T1  - Longitudinal Analysis of Cereal Yields in Ghana
AU  - Alfred Kwabena Amoah
Y1  - 2018/11/14
PY  - 2018
N1  - https://doi.org/10.11648/j.ijsd.20180402.12
DO  - 10.11648/j.ijsd.20180402.12
T2  - International Journal of Statistical Distributions and Applications
JF  - International Journal of Statistical Distributions and Applications
JO  - International Journal of Statistical Distributions and Applications
SP  - 38
EP  - 50
PB  - Science Publishing Group
SN  - 2472-3509
UR  - https://doi.org/10.11648/j.ijsd.20180402.12
AB  - 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).
VL  - 4
IS  - 2
ER  -

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Author Information

Alfred Kwabena Amoah

Ghana National Ambulance Service, Brong Ahafo Regional Administration, Sunyani, Ghana

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Plain Text BibTeX RIS

APA Style

Alfred Kwabena Amoah. (2018). Longitudinal Analysis of Cereal Yields in Ghana. International Journal of Statistical Distributions and Applications, 4(2), 38-50. https://doi.org/10.11648/j.ijsd.20180402.12

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ACS Style

Alfred Kwabena Amoah. Longitudinal Analysis of Cereal Yields in Ghana. Int. J. Stat. Distrib. Appl. 2018, 4(2), 38-50. doi: 10.11648/j.ijsd.20180402.12

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AMA Style

Alfred Kwabena Amoah. Longitudinal Analysis of Cereal Yields in Ghana. Int J Stat Distrib Appl. 2018;4(2):38-50. doi: 10.11648/j.ijsd.20180402.12

Copy | Download

@article{10.11648/j.ijsd.20180402.12,
  author = {Alfred Kwabena Amoah},
  title = {Longitudinal Analysis of Cereal Yields in Ghana},
  journal = {International Journal of Statistical Distributions and Applications},
  volume = {4},
  number = {2},
  pages = {38-50},
  doi = {10.11648/j.ijsd.20180402.12},
  url = {https://doi.org/10.11648/j.ijsd.20180402.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20180402.12},
  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).},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Longitudinal Analysis of Cereal Yields in Ghana
AU  - Alfred Kwabena Amoah
Y1  - 2018/11/14
PY  - 2018
N1  - https://doi.org/10.11648/j.ijsd.20180402.12
DO  - 10.11648/j.ijsd.20180402.12
T2  - International Journal of Statistical Distributions and Applications
JF  - International Journal of Statistical Distributions and Applications
JO  - International Journal of Statistical Distributions and Applications
SP  - 38
EP  - 50
PB  - Science Publishing Group
SN  - 2472-3509
UR  - https://doi.org/10.11648/j.ijsd.20180402.12
AB  - 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).
VL  - 4
IS  - 2
ER  -

Copy | Download