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.
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.
12 pages, This study evaluated socioeconomic factors influencing the uptake of regenerative agriculture technologies in the dry lands of Embu County. Semi-structured questionnaires were administered to 400 farm households. Multivariate Probit model (MVP) and percentage were used to analyse the data. The findings of the study indicate that several socioeconomic factors including farming experience, farm size, main occupation, off-farm activities, age, gender, marital status and education level influenced the uptake of various regenerative agriculture technologies. Government and other inventors should take these factors into consideration while making decisions and formulating policies to support the dissemination and uptake of agricultural innovations.
