16 pages, This study analysed the delivery of public agricultural extension services to the rural households of Idutywa, Eastern Cape. Primary data were collected from 75 participants. Descriptive and inferential statistics were used to analyse the data. Results revealed that there is generally a lack of access to extension services by households in the study area. Above all, the findings showed that access to agricultural extension services is influenced by limited movements, cellphone data, household size, and a limited number of farmers for training. Based on the control and treated variables, the Average Treatment Effect Treated from Kernel, Nearest Neighbours, and Radius matching methods were found to be negative which means that if farmers did not receive the program during the pandemic, the performance and yields were going to be very poor and low. The study recommends that extension officers should be empowered with modern tools to deliver need-based agricultural extension services in the future.
14 pages, The study assessed the agricultural extension agents' climate change training needs in Abia state. Eighty-three extension agents were chosen for the study using a simple random sampling procedure. Questionnaire was used to collect data, which was then summarized using percentages, frequency counts, and the mean. The findings indicated that male agricultural extension agents comprised a majority (53%) of the state's agricultural extension agents. The average household contained between one and five members (60%). Only 10% have a master's degree, while the majority (69%) have a bachelor's degree. The average length of employment was 15 years. The study's findings indicated that there are still extension agents who are unaware of climate change (1%). Agricultural extension agents in the study area have a limited understanding of all six climate change statements. Extension agents provide significant climate change services to farmers, including technical advice on climate change ( =2.0), the establishment of Small Plot Adaptation Techniques (SPAT) to monitor the impact of climate change (=2.1), and educating farmers on appropriate agrochemicals for climate change adaptation (weed and pest control) ( =2.2). Additionally, the results indicated that understanding fundamental climate change concepts ( =3.7), utilising cultural practises to mitigate and adapt to climate impacts ( =3.4), and environmentally friendly management practises to mitigate and adapt to climate change ( =3.4) were the primary areas of need for climate change training among extension agents. Inadequate funding for training (=3.4), a lack of financial support from organizations ( =3.3), and an inability to access financial support from funders (=3.3) were the major barriers to attending climate change training for extension agents. Regular climate change seminars and training workshops for agricultural extension agents at the federal and state levels will help to improve their overall knowledge of climate change issues. The Agricultural Development Program should utilize Forth nightly training (FNT) meetings to educate extension agents about climate change issues.
15 pages, The purpose of this study was to assess the effectiveness of extension services on capacity building of smallholder livestock farmers in Midvaal Local Municipality, Gauteng Province, South Africa. A simple random sample technique was used to select the participants, so that individual farmers in the study population could have an equal chance of being selected in the study. A structured questionnaire was used to collect data from 148 smallholder livestock farmers. The data gathered from participants was coded and captured in Microsoft Excel. Descriptive statistics such as frequency counts, mean, percentages, standard deviation, ranking order, and inferential statistics such as binary logistic regression were used to analyse the data. Results showed that technical farm visits (M = 3.3, SD = ±1.36) and informal training (M = 3.2, SD = ±1.31) were effective extension methods. Furthermore, they showed that extension services were less effective at enabling farmers to penetrate formal markets (M = 2,0 SD = ±1.06) and access finance (M = 1.9, SD = ±1.01). The binary logistic regression model revealed that gender and farming status were the main variables that significantly (P<0.05) influenced smallholder livestock farmers’ access to extension services. It was concluded that extension services in the study area were playing a major role in the capacity building of smallholder livestock farmers.
14 pages, This paper seeks to assess the factors influencing the adoption of the improved crop management practices (ICMP) in Boane District in Mozambique. The study was carried out using a qualitative survey method with a semi-structured interview schedule. Regression analysis and Pearson correlations were used to analyse the factors, constraints, and opportunities influencing the adoption of the improved crop management practices. The study covered a sample of 50 households. The results of the study show that the majority of the farmers (68%) in the Boane District adopted the improved crop management practices, compared to those who did not adopt them (32%). According to the logistic regression analysis, two factors (age and access to credit) were significant (p<0.05) at the 5% level of significance with the adoption of ICMP, meaning that age and access to credit have an influence on the adoption of the improved crop management practices in the Boane District. The study recommended that the Agricultural Development Fund and the district development should solve the challenge of low financial investments, which is the major problem of most smallholder farmers, limiting their response to the production process, and to adopting the improved crop management practices in the Boane District.
12 pages., The study reported on in this paper investigated smallholder farmers’ access to extension services. The study sought to distinguish the varying degrees of access to services of smallholder farmers engaged in different production systems, that is, home gardening, field cropping, and livestock production. The study was conducted in Raymond Mhlaba Local Municipality in the Eastern Cape, specifically in two communities, namely Ngcabasa and Phathikhala villages. Research activities included a survey of 100 farmers as well as focus group discussions. Employing logistic regression analysis, the study aimed to understand what influences whether or not a smallholder farmer accesses extension. The study also used various types of comparative statistics (T-test) to assess the implications of access to extension support, for instance for production and farm income. The main findings of the study were that 68% of the farming households interviewed in Ngcabasa and 71% of those in Phathikhala had access to extension services. Farmers who had access to extension had more farm income in both enterprises compared to those who had no access to extension services. From the regression analysis, farmers who were more likely to receive extension support appeared to be those who were older, those with less education, and those farming with livestock.
