alexa Socio-Economic Determinants of Sweet Melon Production in Balanga Local Government Area of Gombe State, Nigeria | OMICS International | Abstract
ISSN: 2332-2543

Journal of Biodiversity & Endangered Species
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Research Article

Socio-Economic Determinants of Sweet Melon Production in Balanga Local Government Area of Gombe State, Nigeria

Omorogbe I*, Aina OS, Yakubu SA and Hassan AA

Department of Agricultural Extension and Management, Federal College of Horticulture, Dadin-kowa, Gombe State, Nigeria,

*Corresponding Author:
Isaac Omorogbe
Department of Agricultural Extension and Management
Federal College of Horticulture, Dadin-kowa, PMB 108
Gombe State, Nigeria
Tel: 08035780411
E-mail: [email protected], [email protected]

Received date: December 05, 2016; Accepted date: January 23, 2017; Published date:January 30, 2017

Citation: Omorogbe I, Aina OS, Yakubu SA, Hassan AA (2017) Socio-Economic Determinants of Sweet Melon Production in Balanga Local Government Area of Gombe State, Nigeria. J Biodivers Endanger Species 5:180. doi: 10.4172/2332-2543.1000180

Copyright: © 2017 Omorogbe I, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

The potentials of the horticulture sub-sector in solving the prevailing food crisis in Nigeria remain largely untapped because of inefficient use of production resources. The study examined socio-economic determinant of sweet melon production in Balanga local government area of Gombe state. A two stage sampling procedure was used in drawing a sample size of sixty sweet melon farmers from three communities. Data collected were analyzed using both descriptive and multiple regression models. The result revealed that the majority of the farmers were male, married, and literate, with small holding. A coefficient of multiple determinants, R2 of 0.765 indicated a high relevance of the input in explaining the observed variation in melon production. The regression co-efficient of experiences, farm size and house hold size were significant at 5% level of probability, therefore, making the three factors important determinant of output from sweet melon production. Based on findings from the study, it is recommended that government should provide credit facilities with less bureaucracy and low interest rate to producers; this will enable farmers to increase their farm size and in turn increase output.

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