INFLUENCE OF EXTENSION AGENTS PERSONAL CHARACTERISTICS ON THEIR JOB PERFORMANCE IN EDO STATE AGRICULTURAL DEVELOPMENT PROGRAMME
DOI:
https://doi.org/10.33003/fjs-2020-0404-476Keywords:
personal characteristics, job, performance, Edo stateAbstract
The study examined the influence of the personal characteristics of extension agents in Edo State Agricultural Development Programme (ESADP) on their job performance. A well - structured questionnaire was used to collect information from fifty-three respondents, spread across the ADP blocks in the three agricultural zones in the study area. Data were analyzed using descriptive statistics and chi-square. The findings of the study showed that majority of the respondents were male (66.0%) and married (94.3%). Majority (83%) had OND/NCE certificate and were relatively young (average age = 40 years) and experienced as extension agents (average = 14 years). The job performance of majority of the extension workers was rated high (58.5%). Also, Chi- square result showed that there was no significant association between the personal characteristics of the extension agents and their job performance. The study therefore suggests the need to examine organizational factors as crucial incentives needed to enhance the job performance of the workers in the study area
References
Adeyefa, Z.D& Bjorn, H. (1995). Spectral solar irradiance before and during a Harmattan dust spell. Solar Energy, 57 (3) 195-203. https://doi.org/10.1016/S0038-092X(97)80003-E
Balarabe, M.A. &Isah, N.M (2019). A Modified Linear Regression Model for predicting Aerosol Optical Depth (AOD) in Ilorin-Nigeria; FUDMA Journal of Sciences (FJS), 3 (1) 616-1370
Balarabe, M., Abdullah, K. &Nawawi M. (2016). Seasonal Variations of Aerosol Optical Properties and Identification of Different Aerosol Types Based on AERONETDataover Sub- Sahara West-Africa. Atmospheric and Climate Sciences, (6)13-28. doi: 10.4236/acs.2016.61002.
Balarabe, M., Abdullah, K. and Nawawi M. (2015). Long-Term Trend and Seasonal Variability of Horizontal Visibilityin Nigerian Troposphere. Atmosphere, (6) 1462-1486.
Ben Mohamed, A., Frangi J.P. Fontan, J. &Druilhet, A. (1992). Spatial and temporal variations of atmospheric turbidity and related parameters in Niger. Journal of Applied Meteorology, (3) 1286–1294.
Bertrand, J. (1976). Visibilitéet brume sèche en Afrique. La météorologie(6) 201-11.
Chen, Y.S., Sheen, P.C. Chen, E.R. Liu, Y.K. Wu, T.N. & Yang, C.Y. (2004). Effects of Asian dust storms events on daily mortality in Taipei, Taiwan. Environmental Research, (95) 151–155.
Chung, Y.S., Kim, H.S. Dulam, J. & Harris, J. (2003a). On heavydustfall observed with explosive sandstorms in ChongwonChongju, Korea in 2002. Atmospheric Environment, (37) 3425–3433.
Chung, Y. S., Kim, H. S. Park, K. H. Jhun J. G. and Chen, S. J. (2003b). Atmospheric Loadings, Concentrations and visibility associated with sandstorms: Satellite and meteorological analysis. Water, Air, and Soil Pollution: Focus, (3) 21–40
D’Almeida, G.A. (1986). A model for Saharan dust transport. Journal of Climate and Applied Meteorology, (25) 903–916.
Draxler, R.R., Gillette, D.A. Kirkpatrick, J.S. & Heller, J. (2001). Estimating PM10 air concentrations drom dust storms in Iraq, Kuwait and Saudi Arabia. Atmospheric Environment, (35) 4315–4330.
Engelstaedter, S.,Kohfeld, K.E. Tegen, I. Harrison, S.P.(2003). Controls of dust emissions by vegetation and topographic depressions: An evaluation using dust storm frequency data. Geophys. Res. Lett,(30) 1294–1294.
Gillies,J.A., Nickling,W.G.McTainshG.H. (1996). Dust concentrations and particle-size characteristics of an intense dust haze event : inland delta region, Mali, West Africa. Atmos Environ,(30) 1081-90.
Ginoux, P., Prospero, J.M. Torres, O. & Chin, M. (2004). Long-term simulation of global dust distribution with theGOCART model: correlation with North Atlantic Oscillation. Environmental Modelling & Software, (19) 113–128.
Ginoux, P., Prospero, J.M. Gill, T.E. Hsu, N.C. Zhao, M. (2012). Global-scale attribution of anthropogenic and natural dust sources and their emission rates based on MODIS deep blue aerosol products. Rev. Geophys. (50) RG3005.
Goudie(2014). Desert dust and human health disorders. Environment International (63) 101–113
Gyan, K., Henry, W.,Lacaille, S.,Laloo, A.,Lamsee-Ebanks, C., McKay, S., Antoine, R.M.,Monteil, M.A. African dust clouds are associated with increased paediatric asthma accident and emergency admissions on the Caribbean island of Trinidad. Int. J. Biometeorol. (49), 371–376.
Husar, R.B.,Husar, J.D. Martin, L. (2000). Distribution of continental surface aerosol extinction based on visual range data. Atmos. Environ, (34) 5067–5078.
Karimian, H., Li, Q. Li, C. Jin, L. Fan, J. Li, Y. (2016). An Improved Method for Monitoring Fine Particulate Matter Mass Concentrations via Satellite Remote Sensing. Aerosol and Air Quality Research,(16) 1081-1092.
Kellogg, C.A. Griffin,D.W.(2006) .Aerobiology and the global transport of desert dust. Trends Ecol,(21) 638–644
Li, C., Lau, A.K.H. Mao, J. Chu, A. (2005). Retrieval, Validation, and Application of the 1-km Aerosol Optical Depth FromMODIS Measurements Over Hong Kong. IEEE T.Geosci.Remote. 43.
N’TchayiMbourou, G., Bertrand, J. J. and Nicholson, S. E. (1997).The diurnal and seasonal cycles of wind-borne dust over Africa north of the equator. J. Appl. Meteorol, (36), 868 – 882, doi:10.1175/1520- 0450(1997)0362.0.CO;2
Oluwfemi, C.O. (1988). Particle size distribution, turbidity, and angular scattering in the Harmattan regime. Journal of Geophysical research atmosphere, 93 (D1) 687-690
Ozer P. (2002). Dust variability and land degradation in the Sahel. BELGEO,(2) 195-209.
Ozer, P. (2005). Estimation de la pollution particulairenaturelle de l’air en 2003 `a Niamey (Niger) `a partir de donn´ees de visibilit´ehorizontale. Environnement, Risques&Sante, (4), ´
–49.
Pierre, O., Mohamed, B. M. L.Sidi, M. L. Jean, G. (2006). Estimation of air quality degradation due to Saharan dust at Nouakchott, Mauritania, from horizontal visibility data. Water Air Soil Pollution, (178) 79–87
Prospero, J.M., Ginoux, P. Torres, O. Nicholson, S.E. &Gill, T.E. (2002). Environmental characterization of global sources of atmospheric soil dust identified with the NIMBUS 7 Total Ozone Mapping Spectrometer (TOMS) absorbing aerosol product. Review of Geophysics, (40), 1002, doi: 10.1029/2000RG000095.
Tanaka, T.Y., Chiba, M. A. (2006).numerical study of the contributions of dust source regions to the global dust budget. Glob. Planet. Chang. (52) 88–104.
Uduma, A.U. Jimoh, W.L.O.(2013). High incidence of Asthma, Bronchitis, Pneumonia and Sinusitis in Kano State, North West Nigeria during Saharan dust events. Am. J. Environ. Energy Power Res,(1) 174–185.
Washington, R., Todd, M. Middleton, N.J. &Goudie, A.S. (2003). Dust-storm source areas determined by the Total Ozone Monitoring Spectrometer (TOMS) and surface observations. Annals of the Association of American Geographers, (93) 299–315.
WiggsG.F.S., O’Hara,S.L.Wegerdt, J. Van der Meer, J. Small, I. Hubbard, R. (2003). The dynamics and characteristics of aeolian dust in dryland Central Asia : possible impacts on human exposure and respiratory health in the Aral Sea basin. Geogr J 2003 (169) 142-57.
Published
How to Cite
Issue
Section
FUDMA Journal of Sciences
