Ethnoveterinary practices among small-holder goat farmers in Ogun State, Nigeria

<p>This study investigated the factors that are crucial in improving small holder cooperative farmers’ loan repayment in Remo Division of Ogun state, Nigeria. Primary data used for the study were collected with the aid of well-structured questionnaire. Multi-stage sampling techniques were used to select the 120 respondents. The data were analyzed using descriptive statistics and probit regression model. The results of the descriptive analysis showed that about 56% of the respondents were able to repay their loans promptly while the rest were not. The respondents’ mean age stood at 47 years, the majority of them are males and married with fair level of education. The majority of smallholder farmers in the study area had been farming for more than 20 years, while the household size for the majority of them was 4-6 members with average family size of 5. The results of the probit regression analysis revealed that age, level of education, farming experience, net farm income and loan size obtained were the major factors that increase the likelihood of loan repayment, while the number of family dependants reduces the probability of repayment. To improve loan repayment ability in the study area, this study recommended improvement in human capacity development as well as sensitization of the farmers in the study area about the importance of education.</p>

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Effect of Project Instructional Approach on The Academic Achievement of Building Construction Students in Technical Colleges in ogun State, Nigeria

Global Journal For Research Analysis ◽

10.15373/22778160/may2014/14 ◽

2012 ◽

Vol 3 (5) ◽

pp. 35-38

Author(s):

ANAELE EDMOND O ◽

◽

AYODELE OMOLEWA K

Keyword(s):

Academic Achievement ◽

Technical Colleges ◽

Building Construction ◽

Instructional Approach ◽

Ogun State

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Soil Radioactivity and Radiological Risks Exposure to Inhabitants near Coastal Region of Ado- Odo Ota, Ogun State, Nigeria

International Journal of Psychosocial Rehabilitation ◽

10.37200/ijpr/v24i4/pr201047 ◽

2020 ◽

Vol 24 (04) ◽

pp. 750-754

Author(s):

Omeje Maxwell ◽

Olusegun Adewoyin O ◽

Joel Emmanuel S ◽

Akinwumi S.A ◽

Omeje Uchechukwu A

Keyword(s):

Coastal Region ◽

Soil Radioactivity ◽

Ogun State

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Predictors of Alcohol Use among In-School Adolescents in a Community of Ikenne Local Government Area, Ogun State, Nigeria

TEXILA INTERNATIONAL JOURNAL OF PUBLIC HEALTH ◽

10.21522/tijph.2013.08.03.art040 ◽

2020 ◽

Vol 8 (3) ◽

pp. 360-368

Author(s):

Chioma I. Daniel Alpheaus

Keyword(s):

Alcohol Use ◽

Local Government ◽

Local Government Area ◽

Ogun State

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Determinants of Nutritional Practice among Expectant Mothers Attending Antenatal Clinic in Selected Hospitals in Abeokuta, Ogun State

TEXILA INTERNATIONAL JOURNAL OF PUBLIC HEALTH ◽

10.21522/tijph.2013.08.02.art028 ◽

2020 ◽

Vol 8 (2) ◽

pp. 237-245

Author(s):

Nzete-Ogheneruro Isioma M

Keyword(s):

Antenatal Clinic ◽

Ogun State ◽

Expectant Mothers

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Adapting Gravity Model for Predicting the Risk of COVID -19 in Nigeria

Coronaviruses ◽

10.2174/2666796701999200915150039 ◽

2020 ◽

Vol 01 ◽

Author(s):

Olanrewaju Samson Olaitan ◽

Olowoporoku Oluwaseun

Keyword(s):

High Risk ◽

Gross Domestic Product ◽

Gravity Model ◽

Infection Risk ◽

Risk Level ◽

Ogun State ◽

Factors Influencing ◽

Government Data ◽

Housing Standards ◽

Very High

Background: It is against the background of the emerging incidence of coronavirus pandemic in Nigeria, and the need for its management that this study adapts gravity model for predicting the risk of the disease across states of the country. Methods: The paper relied on published government data on population, and gross domestic product, while the distance of town to the nearest international airport was also obtained. These data were log transformed and further used in the calculation of gravity scores for each state of the federation. Results: The study discovered that with the gravity score ranging from 2.942 to 4.437, all the states of the federation have the risk of being infected with the pandemic. Meanwhile Ogun State (4.837) has a very high risk of being infected with the disease. Other states with high risks are Oyo (4.312), Jigawa (4.235), Niger (4.148) and Katsina (4.083). However, Taraba State has the least infection risk of the pandemic in Nigeria. Factors influencing the risk level of the pandemic are proximity, porous boundary between states, and elitism. Conclusion: The paper advocates border settlement planning, review of housing standards, and advocacy for sanitation in different states. It therefore concludes that adequate urban planning in unison with economic and epidemiology techniques will provide a strong strategy for the management of the disease.

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101 Evaluation of Growth Curve Functions for predicted weight in small holder crossbred dairy cattle in Tanzania

Journal of Animal Science ◽

10.1093/jas/skaa278.145 ◽

2020 ◽

Vol 98 (Supplement_4) ◽

pp. 79-80

Author(s):

Chinyere Ekine ◽

Raphael Mrode ◽

Edwin Oyieng ◽

Daniel Komwihangilo ◽

Gilbert Msuta ◽

...

Keyword(s):

Growth Curve ◽

Model Comparison ◽

Predictive Ability ◽

Nonlinear Least Squares ◽

Information Criterion ◽

Dairy Farms ◽

Exponential Model ◽

Males And Females ◽

Small Holder ◽

Two Parameter

Abstract Modelling the growth curve of animals provides information on growth characteristics and is important for optimizing management in different livestock systems. This study evaluated the growth curves of crossbred calves from birth to 30 months of age in small holder dairy farms in Tanzania using a two parameter (exponential), four different three parameters (Logistic, von Bertalanffy, Brody, Gompertz), and three polynomial functions. Predicted weights based on heart girth measurements of 623 male and 846 female calves born between 2016 and 2019 used in this study were from the African Dairy Genetic Gains (ADGG) project in selected milk sheds in Tanzania, namely Tanga, Kilimanjaro, Arusha, Iringa, Njomba and Mbeya. Each function was fitted separately to weight measurement of males and females adjusted for the effect of ward and season of birth using the nonlinear least squares (nls) functions in R statistical software. The Akaike’s information criterion (AIC) and Bayesian information criterion (BIC) were used for model comparison. Based on these criteria, all three polynomial and four parameter functions performed better and did not differ enough from each other in both males and females compared to the two-parameter exponential model. Predicted weight varied among the models and differed between males and females. The highest estimated weight was observed in the Brody model for both males (278.09 kg) and females (264.10 kg). Lowest estimated weight was observed in the exponential model. Estimated growth rate varied among models. For males, it ranged from 0.04 kg-0.08 kg and for females, from 0.05 kg-0.09 kg in the Brody model and logistic model respectively. Predictive ability across all fitted curves was low, ranging from 25% to approximately 29%. This could be due to the huge range of breed compositions in the evaluated crossbred calves which characterizes small holder dairy farms in this system and different levels of farm management.

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