Statistical Analysis of Factor Affecting Banana Production in Gamo Gofa District, Southern Ethiopia
Engineering and Applied Sciences
Volume 1, Issue 1, June 2016, Pages: 5-12
Received: Dec. 14, 2015;
Accepted: Dec. 25, 2015;
Published: Jun. 20, 2016
Views 5830 Downloads 171
Natnael Mamuye, Department of Statistics, College of Natural and Computational Sciences, Debre Berhan University, Debre Berhan, Ethiopia
The banana plant, often erroneously referred to as a “tree”, is a large herb, with succulent, very juicy stem (properly “pseudo stem”) which is a cylinder of leaf petiole sheath’s, reaching a height of 20 to 25 fit (6-7.5meter) and arising from a fleshy rhizome. Starting from early 1980th, banana has been produced and consumed in Ethiopia but different researchers’ shows that the production of banana is declining in the country due to different reasons. This study focused on “Mirab Abaya zone” and has an objective of identifying the factors that affect the production of banana in the region. The subjects who are involved in the study are sample of banana producing farmers in Algae “Kebele” selected using simple random sampling technique. The study uses both descriptive statistical methods such as frequency distribution table and summary measures and inferential statistical methods mainly multiple regression analysis of the Cobb-Douglas production function using OLS technique was used to analyze the data obtained by using self administered questionnaire. As a result, the age of banana plants, family size, age of farmers and amount of labor force that used for banana farm were found to be statistically significant predictors of the production of banana in the region. Also in this study factors like gender, educational level of farmers, farm soil fertility, and distance from house to farm and amount of fertilizer that used on banana farm have no statistically significant impacts on the production of banana. Finally, the researchers recommended that it is the duty and responsibility of agricultural office to introduce new varieties of banana and to create awareness about the production of banana to the farmers to increase the productivity of the plant. Also farmers should replace the aged banana plant by the new one and the number of people who can take care of the plant has to be also increase to raise the productivity of the banana in the area.
Statistical Analysis of Factor Affecting Banana Production in Gamo Gofa District, Southern Ethiopia, Engineering and Applied Sciences.
Vol. 1, No. 1,
2016, pp. 5-12.
Copyright © 2016 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.
Bekunda and Seguya S.: Soil fertility management in the banana-based agriculture of central Uganda; farmer’s constraints and options: African Crop Science journal, vol.7 pp.54-60; 2001.
Rivera, R. A.: Philippine Banana Production and Marketing Available online at http://hvcc.da.gov.ph/pdf/banana_phil_prodn_market.pdf; Accessed on 9, February 2015.
Bates M. B and Flordeliza A. L: Factors affecting yield performance of banana farms inoriental Mindoro, Philippines, J. ISSAAS Vol. 16, No. 1:110-120; 2010.
Wachira P. M, Kimenju J. W, Kiarie J. W, Kihurani A. W, Mwaniki S. W and Gathaara V. N.: Incidence of pests and diseases affecting banana in a commercial banana production setting in Kenya, International Journal of Research In Agriculture and Food Sciences, ISSN 2311-2476;2013.
Leena T., Maina M., and Steffen A.: Xanthomonas Wilt. Atreat to Banana production to east and central Africa: The American Phytopathological Society. Vol. 93 No. 5; 2009.
CFC (Common Fund for Commodities): Development of organic banana production and export in Sudan and Ethiopia to the Middle East and Europe. FC/CC/34/FISGB/10. Appraisal Report, Addis Ababa, Ethiopia; 2004.
CSA (Central Statistical Agency of Ethiopia): Agricultural Sample Survey. Report on Area and Production of Major Crops. Volume I, VII and VIII. Statistical Bulletin 578. Addis Ababa, Ethiopia; 2014.
Zenebe W, Ali M, Derbew B, Zekarias S, Adam B: Assessment of Banana Production and Marketing in Ethiopia, International Journal of Sciences: Basic and Applied Research (IJSBAR), Volume 24, No 3, pp 283-307; 2015.
Bluman: Elementary statistics, Astep by step approach, 8th edition; 2012.
Miaoulis, George, and R. D. Michener: An Introduction to Sampling. Dubuque, Iowa: Kendall/Hunt Publishing Company; 1976.
Cochran, W. G.: Sampling Techniques, 2nd Ed., New York: John Wiley and Sons, Inc.; 1963.
Walter A. Shewhart and Samuel S. Wilks: Regression analysis by example, 4th edition, john Wiley&sons, inc., publication; 2006.
David L. Debertin: Agricultural Production Economics, 2nd edition, ISBN 0-02-328060-3; 2012.
Tekle Y., Wondewosen S., Zemach S., Tibebu S., Abraham S., Woineshet S: Adaptability study of banana (Musa paradisiacal var. sapiertum) varieties at Jinka, southern Ethiopia: American Journal of Agriculture and Forestry; 2(6): 250-255, 2014.
Shellmith Mugo: Factors Influencing Tissue Culture Banana Output and it Impact on Income in Nyamusi Division, Nyamira North District, Kenya: International Journal of Sciences: Basic and Applied Research (IJSBAR), ISSN (Online): 2307-4531; 2013.
Maddala, G. S: Introduction to Econometrics, 3rd edition, John Wiley and Sons, Chich-ester; 2001.
Kainga P. E., Okorji C. E. & Nweze N. J: Socio-economic determinants and productivity in banana and plantain production, Globaljournal of Biology, Agriculture and health science, ISSN: 2319 – 5584; 2014.
Yamano, T: Dairy-Banana Integration and Organic Fertilizer Use in Uganda. Discussion Paper: 08-03. GRIPS Policy Information Center. Available online at http://www3.grips.ac.jp/~pinc/data/08-03.pdf. Accessed on 17, sebtember, 2015.
Bates M. B. and Flordeliza A. L: Factors affecting yield performance of banana farms inoriental Mindoro, Philippines, J. ISSAAS, Vol. 16, No. 1:110-120; 2010.