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Volume 23, Issue 3, 2018
 
DOI: 10.15192/PSCP.ASR.2018.23.3.8396
Published: September 2018
Pages: 83-96
[ Abstract ]
Impact of Agricultural Extension Services on Crop Farmers’ Productivity in Oyo State, Nigeria
Ogunniyi, L.T, Fanifosi, G.E, Ajao, O.A, Dlamini, D.V
 
DOI: 10.15192/PSCP.ASR.2018.23.3.97101
Published: September 2018
Pages: 97-101
[ Abstract ]
Agricultural extension services play an important role in development of agriculture and contribute to improving the welfare of farmers and other people living in rural areas. This study examines the impact of agricultural extension services on crop farmers’ productivity in Oyo state Nigeria. The study employed a multistage sampling technique to select the respondents who are thereby interviewed. The finding showed that the nearest neighbor matching algorithm results for all the extension services have impact on crop productivity in the study area. They also have lower value when compared with results obtained with radius matching estimator, and they were found significant except the case of training programme, where the ATT value for the nearest neighbor matching was higher than the radius matching. In addition to this, the balancing test revealed that there is no significant difference between the socioeconomic characteristics of both treatment and control respondents except in some variables with respect to each programme.
The Role Of Health In The Economic Growth Of Cameroon
DUDJO Yen G. Boris, SONKENG Germain, NJONG MOM Aloysius, TAFAH Edokat O. Edward
 
DOI: 10.15192/PSCP.ASR.2018.23.3.102118
Published: September 2018
Pages: 102-118
[ Abstract ]
The present study has as objective to examine the relation between health and economic development. Cameroon like the majority of the developing countries is not in margin of this situation especially when it is known that the health expenditure is almost financed by the households. The present study proposes a set of theoretical arguments and empirical evidences which reinforce the idea according to investment in human capital, through health is the main means of ensuring sustainable growth on one hand. The analysis is done at the level of Cameroon, over 34 years (1980 - 2013). A regression equation has been specified and then estimated through the methods of Ordinary least squares (OLS) and Generalised Method of Moments (GMM). The software used for the analysis is Eviews. The estimation results show that health has a positive impact on economic growth and significant at different threshold meanings. The study seems to suggest that a concerted effort should be made by policymakers to enhance health investment to accelerate economic growth which would reduce poverty.
Diallel Analysis of Dietary Fiber, Total Protein and Vitamin C contents in Cowpea Leaves
A. Ndogonoudji Alladoum, J.B Noubissié Tchiagam, Mbailao Mbainguinam, A Nassourou Maina, J.M Bell
 
DOI: 10.15192/PSCP.ASR.2018.23.3.119127
Published: September 2018
Pages: 119-127
[ Abstract ]
Selection of cowpea genotypes with leaves of good nutritional quality is an important research objective. The aim of this study was to evaluate the variability of three nutritional traits among fifteen cowpea lines and clarify their genetic control through an 8x8 half-diallel mating in order to create new varieties adapted to the high Guinea Savannah zone. Genotypes showed a high variability for protein (18.60 to 26.50%), dietary fiber (6.25 to 11.30%) and vitamin C (2.30 to 4.70 mg.g-1) contents in young expanded leaves. Improved line IT97K-573-1-1 appeared to be the most desirable genotype for the genetic improvement of nearly all the traits evaluated and therefore recommended for further use. Diallel analysis showed that additive and non-additive effects of genes were responsible for the genetic variation of these traits. Parents differed significantly for their general combination abilities (GCA) as well as hybrids for their specific combination abilities (SCA). These traits were controlled by partial dominance model with preponderance of non-additive genes for protein and dietary fiber contents. These parameters are strongly heritable (h² = 0.72 to 0.87). Dominant alleles are not harmoniously distributed among studied parents. Recessive genes have positive effects on all traits. These results could help breeders improve the nutrient quality of cowpea leaves by appropriate selection. Recurrent selection might be a useful breeding strategy.
Implementing an Adaptive Fuzzy Inference System (ANFIS) based on identifying and predicting road accidents (Case study: Haraz road)
Morteza Rahmani Nikouei, Sahar Shamsaee, Somayeh Shamsaee
 
DOI: 10.15192/PSCP.ASR.2018.23.3.128-134
Published: September 2018
Pages: 128-134
[ Abstract ]
Abstract: Nowadays, the number of road accidents in our country is increasing and since the financial, life, psychological and social damage in some cases are irreparable it is necessary to prevent traffic accidents damages the effective factors identify and effective solutions to be implemented. The main purpose of this research, is study of various (natural and human) causes of road accidents on the road of Haraz and providing a method for identifying incidental factors based on(FMEA) method and eventually predict events Risk Priority Number (RPN) based on the Adaptive Neural Fuzzy Inference System (ANFIS) using MATLAB software. The results of the failure analysis method (failure modes & effects analysis) (FMEA) show that the two factors of mucus and the consumption of narcotics and alcoholic beverages are the most effective factors in the accidents of Haraz road and also due to the negligibility of predictive error values, Mean Squared Error (MSE) and Root Mean Square Error (RMSE) the accuracy of the prediction by the adaptive neural -fuzzy inference system is confirmed. The result of this prediction system (ANFIS) can be effective to predict the number of road accidents risk and providing solutions to reduce the road accidents.


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