International Journal of Innovative Agriculture & Biology Research 3(2):34-40, April-June 2015


© SEAHI PUBLICATIONS, 2015

AN EMPERICAL ANALYSIS OF RUMINANT PRODUCTION IN DUTSINMA LOCAL GOVERNMENT AREA, KATSINA STATE, NIGERIA



*1ARUWAYO, A; 2TIRI, G. D; 1YAHAYA, M. A. & 2AKINYEMI, M.

1Department of Animal Production and Health, Faculty of Agriculture and Agricultural Technology, Federal University Dutsinma, Katsina State.
2 Department of Agricultural Economics and Extension, Faculty of Agriculture and Agricultural Technology, Federal University Dutsinma, Katsina State
*Corresponding author: aaruwayo@fudutsinma.edu.ng; Phone: +234-803-5813-337

ABSTRACT
The study sought to identify the factors influencing ruminant farmersí adoption of improved production technology in Dutsin-Ma local government area of Katsina state, Nigeria. Primary data from cross section of 45 ruminant farmers through a 2-stage random sampling techniques were used. The data were analyzed using descriptive statistics and probit model. The study revealed that young people of age range between 31 and 40 years were involved in ruminant production. Majority of the ruminant farmers had experience between 11-40 years. The result of the probit analysis showed that access to credit and Experience were positive and significant (P<0.05). This implies that livestock farmers who were using both variables are associated with higher likelihood of adopting improved livestock production technology. Also, household size and the level of education are both negative and statistically significant (P<0.05). This implies that the ruminant farmers with higher household size and high level of education are less likelihood to adopt modern ruminant production technology. The study concludes that adoption of ruminant is influenced in the study area and recommends that farmers capacity building should be organised by the government and trade union. The experienced farmers should impact knowledge to the younger farmers.Government should put in place an effective policy credit delivery system.
Key words: Ruminants, livestock farmers , production,, Katsina, probit model