9 pages., The paper explored the policy options targeted at preventing extreme hunger after surviving the COVID-19 pandemic. Multistage sampling procedure was used to select 15 key informants across five purposively selected Local Government Areas in Kaduna and Ogun States for this study. Checklist (administered through recorded telephone calls) was used to elicit responses (qualitative data) on the impacts of COVID-19 on the food system. This paper concludes that the COVID-19 pandemic has negatively impacted on the food system thus challenging the AES to employ more innovative and pragmatic approaches to reach the farmers. Major impacts of COVID-19 on food system were disruptions in agricultural production, limitation of field visit by extension personnel and distortion of technology delivery system. Major recommendations include: in response to the stay-at-home order in the wake of the COVID-19 pandemic, Agricultural extension services (AES) should explore virtual means to reach the clientele. To this end, farm operations and new techniques should be packaged into short clips and shared via various platforms. Also, legislative means to consider AEAS as essential services should be sought; and extensionists should be trained and provided with personal protection equipment (PPE) to enable them reach farmers. Such field officers should be insured and provided with adequate tangible mobility.
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.
Conference paper / journal article, The paper focused on COVID-19 pandemic, its implication on the Nigeria agriculture and the role of extension. The review uncovered a subtle but undeniable negative impact on all the value chain of the Nigeria agriculture. One of the most important factors that may avert this negative impact is agricultural extension service. With lockdown, travel ban and social distancing, the way out becomes technology. Government and institutions at all levels should intentionally deploy technology tools to aid effective agricultural extension service to farmers.
