Statistical Analysis of Factors Affecting the Production of Wheat Crop In Gulomakeda Woreda, Eastern Tigray Zone, Ethiopia.
Abstract
The present research is done based on the major factors which are affecting the production of wheat crop in Gulomekada woreda, Eastern Tigray, Ethiopia. The Gulomekada is one of the main wheat producing area in the tigray region. But, recently the production of wheat decreased due to different reasons such as land size, pesticide, fertilizer, temperature and rainfall. The present study was about the statistical analysis of the factors affecting the production of wheat crop. The collected data was a secondary source of data about the factors affecting the production of wheat and the data analyzed by the descriptive and inferential statistics. From the results of the present study, the average production of wheat in the Gulomakeda woreda for the past 10 years was 14719.25 quintal per hectare. The average land size, pesticide, fertilizer, temperature and rainfall in the past 10 years 2476.68hectare, 1755.00lts, 4054.70qu, 20.50 and 933.90mm respectively. In addition, from the multiple linear regression models some independent variables (factors) like land size, fertilizer, temperature and rainfall are statistically significant at 5% level of significance.
References
CIMMYT. 2000. The Eleventh Regional Wheat Workshop for Eastern. Central and Southern Africa. Addis Ababa, Ethiopia.
CSA. April, 2011. Report on Area and Production of Major crops. Ethiopian Agricultural Sample Survey Private Peasant Holdings, Meher Season (2010/11 (2003 E.C.) – Volume I. Statistical Bulletin. Addis Ababa: Central Statistical Agency.
Tesfaye T, Getachew B, Worede M. 1991. Morphological diversity in tetraploid wheat landrace populations from the central highlands of Ethiopia. Hereditar, 114, 171-176.
Cochran WG. 1997. Sampling techniques.3rd edition, john Wiley and sons, inc…New York”.
Bryman Alan, Cramer Duncan. 2011. Quantitative Data Analysis with IBM SPSS 17, 18 and 19: A Guide for Social Scientists. New York.
Farrar Donald E, Glauber Robert R. 1967. Multicollinearity in Regression Analysis: The Problem Revisited. Review of Economics and Statistics, 49 (1), 92–107.
Krishna Kumar T. 1975. Multicollinearity in Regression Analysis. Review of Economics and Statistics, 57 (3), 365–366.
Barlow Jesse L. 1993. Chapter 9: Numerical aspects of Solving Linear Least Squares Problems. In Rao, C.R. Computational Statistics. Handbook of Statistics 9. North-Holland.
Pedhazur Elazar J. 1982. Multiple regression in behavioral research: Explanation and prediction (2nd ed.). New York.
Chatterjee S, Hadi AS, Price B. 2000. Regression Analysis by Example (Third ed.). John Wiley and Sons.
Copyright © Author(s) retain the copyright of this article.