Bir, Courtney (author), Hagerman, Amy (author), Sahs, Roger (author), and Ladd, Brent (author)
Format:
Abstract
Publication Date:
2021-09-01
Published:
United States: Oklahoma State University, Stillwater.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 205 Document Number: D12530
Notes:
98 pages, If you are considering becoming a farmer or rancher in Oklahoma, then you are about to embark on a journey. As with any long trip, your first step is to plan where you will go and how you will get there. The Oklahoma Cooperative Extension Service (OCES) at Oklahoma State University has developed this resource guide to help beginning farmers understand the steps needed to achieve the dream of having their own farm.
The first and most important step you should take in beginning a farm is to carefully
research the property and planned enterprises before investing. Attend educational meetings (such as OSU Extension programs) before properties are purchased. Become acquainted with professionals such as the local Extension Educator–Agriculture, who can help. The OSU Extension website, provides links to county offices, publications and many other resources.
15 pages., The determinants of agricultural extension communication channel usage depend on several factors but have not been explored in the context of emergency (Fall Armyworm outbreak) and non-emergency situations. A multistage purposive sampling technique was used to select 318 farmers, focusing on the districts and the communities with the highest reported cases of fall armyworm infestation. Descriptive statistics and a multivariate probit analysis were used in the analysis of the data. The results showed an increase in the intensity of channels’ usage in the emergency situation. It was also found that fertilizer and improved seeds were the most common extension need. Channels are found to be more complementary in the emergency case. In both situations, some factors explaining the choices of these channels varied, while others agreed. The study recommends multiple channels are made available and that time-consuming channels irrespective of their effectiveness should be avoided by extensionists in emergency situations.
11 pages, This study examined village extension agent’s access and use of information and communication technology in extension services delivery to farmers in Plateau State, Nigeria. The population for the study consisted of all the village extension agents (VEAs) of the Plateau Agricultural Development Program (PADP) in the central agricultural zone of the state. Multistage sampling technique was employed in selecting the respondents for the study. Primary data were collected through the administration of questionnaires and interview techniques and were analyzed using descriptive and inferential statistics. Findings from the study shows that majority (77%) of the sampled village extension agents (VEAs) were males with a mean age of 43 years, Majority (87%) of the respondents were married with a mean household size of 4 persons. The study also showed that majority (80%) of the VEAs had tertiary education with a mean working experience of 13 years and average monthly income of ₦64875. The result also shows that four (4) out of the seven (7) listed ICT facilities were adjudged the ICT facilities accessible to VEAs in the study area having had mean values above the discriminating index (x̅ =2.50). They included; GSM (phone) (x̅ =3.94), radio (x̅ = 2.83), television (x̅ = 2.73) and computer (x̅ = 2.68). Based on 2.50 discriminating index, only two out of seven listed conventional ICT facilities had mean values above the discriminating index (x̅ 2.50) and thus were adjudged the ICT facilities used by VEAs. The GSM (phone) had the highest mean value of 3.62 followed by radio with mean value of 2.54. The logit regression result shows that coefficients of years of working experience and monthly income were significant and positively related to ICT use, while age and complexity in use of ICT were significant and negatively related to ICT use. Major constraints to use of ICT by VEAs includes; lack of administrative support in provision of ICT (87%), lack of in-service training on ICT use (66%), Poor salary/remuneration (64%), lack of awareness of ICT importance in extension (56%) among others. The study recommends intervention, serious synergy, and proactive response on the part of the government, non-governmental organization,s and extension organizations in ICT provision and training of VEAs on ICT use as well as stepping up campaigns on the importance of ICT use in agricultural extension delivery.
24 pgs., In order to stay relevant in an online world, Extension must properly use social networking platforms to effectively reach diverse audiences regarding agricultural and natural resource issues. However, few studies have focused on how Extension uses Facebook to effectively accomplish its goal. This study’s purpose was to explore how Utah State University Extension Sustainability uses Facebook to engage followers. The researchers conducted a quantitative content analysis of 504 messages posted to the USU Extension Sustainability Facebook page. Graphics and links were the most common post characteristics used by the organization. Text-only posts and posts containing videos were utilized the least. Food was the most common area of sustainability discussed on the page. Posts containing videos, shared content, or that tagged other Facebook pages in messages experienced statistically significantly higher user engagement than posts without those characteristics. Posts containing hashtags experienced statistically significantly lower engagement. Neutral sentiment appeared in the majority of posts. Additionally, information seeking was the most dominant communicative function among the posts. Neither the type of sentiment nor communicative functions were significantly connected to engagement. Future research should determine changes in knowledge, attitudes, intentions, and behavior as a result of exposure to, and engagement with, the Facebook page. Additionally, a qualitative study determining consumers’ attitudes toward Facebook content can provide a deeper understanding of the audience’s thought processes and content preferences. Page administrators should craft engaging content that builds community among followers.
6 pages, Despite the huge potential for milk production, interventions to improve productivity in sub-Saharan Africa (SSA) are barely based on specified farm classifications. This study aimed to develop robust and context-specific farm typologies to guide content of extension farm advice/services in Uganda. From a sample of 482 dairy farmers, we collected data on farmer socio-demographics, farm management practices, ownership of farm tools and facilities, willingness to pay for extension services, milk production, and marketing. Farm typologies were obtained based on principal component and cluster analyses. Thereby, of the three dairy production systems that emerged, small-scale, largely subsistence yet extensive and low productive farms were more prominent (82.6%). Farms that were classified as large-scale, less commercialized yet extensive with modest productive systems were more than the medium-scale commercial farms with intensive and highly productive systems. However, the later were considered to potentially transform dairy farming in Uganda. It was also predicted that the validity of our farm classification may persist until half of the farms have moved between clusters. The study gives new insights on dairy production systems in Uganda, which can be used to organize more targeted research on farmers’ extension needs for facilitating delivery of relevant and effective extension services and designing appropriate extension policies
24 pages, Extension is sometimes viewed globally as less important than academic research and innovation, even though these networks are crucial to agricultural development. Using Lewin’s (1947) organizational change theory as a conceptual background, an instrument to measure advocacy capacity within international extension networks was developed. The resulting scale was analyzed for content validity, response process validity, internal structure validity, and consequential validity. An exploratory factor analysis (EFA) was performed on the proposed scale. The underlying structure of the scale was found to load onto five factors. The five extracted factors were labelled: 1) network support of advocacy, 2) network integration of advocacy, 3) network influence in advocacy, 4) network visibility in advocacy, and 5) network advocacy performance. The overall International Extension Network Advocacy Capacity (IENAC) scale, and associated subscales were all found to have acceptable levels of validity.
21 pages, Despite decades of investment in agricultural extension, technology adoption among farmers and agricultural productivity growth in Sub-Saharan Africa remain slow. Among other shortcomings, extension systems often make recommendations that do not account for price risk or spatial heterogeneity in farmers' growing conditions. However, little is known about the effectiveness of extension approaches for nutrient management that consider these issues. We analyze the impact of farmers' access to site-specific nutrient management recommendations and to information on expected returns, provided through a digital decision support tool, for maize production. We implement a randomized controlled trial among smallholders in the maize belt of northern Nigeria. We use three waves of annual panel data to estimate immediate and longer term effects of two different extension treatments: site-specific recommendations with and without complementary information about variability in output prices and expected returns. We find that site-specific nutrient management recommendations improve fertilizer management practices and maize yields but do not necessarily increase fertilizer use. In addition, we find that recommendations that are accompanied by additional information about variability in expected returns induce larger fertilizer investments that persist beyond the first year. However, the magnitudes of these effects are small: we find only incremental increases in investments and net revenues over two treatment years.
9 pages., Cassava (Manihot esculenta) is an important regional food source, providing food and income to over 30 million farmers, processors, and traders in Nigeria. Extension programs support awareness and interest in new technologies; they facilitate the adoption and adaptation of new approaches to crop production, post-harvest processing, and marketing. Extension can be understood as an intermediary or catalyst in the dissemination of information to rural farmers. This study analyzed the effect of cassava farmers’ exposure to extension on a broad measure of cassava technology adoption, while considering the influence of some individual and farm characteristics as control variables. Data were obtained from personal interviews with sample of 952 households conducted in southern Nigeria. Results show a relationship between extension exposure and technology adoption. Farmer-to-farmer interaction played the greatest role in diffusion of the technologies. Interactions with extension agents were low, suggesting that adoption of improved technologies could be enhanced by improved regular contact with extension information. The results underscore the importance of farmer-to-farmer interaction processes that often overshadow extension assistance in supporting and guiding the use of production technology. The conclusions consider some implications for 21st century extension.
8 pages., This study ascertained factors influencing adoption of improved maize seed varieties in three local government areas of Kaduna State, North-central Nigeria. It collected cross-sectional data for a sample of 180 randomly selected farming households across three local government areas of the State in 2015/16. Both descriptive and inferential analyses were performed on the data. The descriptive statistics differentiated adopters from non-adopters, while the inferential analysis involved estimation of a logit model to determine factors driving adoption of improved maize seed varieties in the study areas. The results of the descriptive analysis show significant mean differences between adopters and non-adopters regarding several farm households’ characteristics. The model results reveal that adoption of improved maize seed varieties among the households was positively influenced by age, household size, level of education, farming experience, labour availability, contacts with extension agents, farm size, off-farm income and membership of associations. Thus, the study concluded that improving farmers’ education, expanding coverage and depth of extension services and strengthening farmer associations are useful policy actions for promoting adoption of improved maize varieties. It is also important to address availability, accessibility and affordability issues constraining adoption, enhance credit access and mitigate risk perceptions. The link between researchers and innovators and the farmers who are the off-takers of their outputs should be reinforced to increase maize productivity in order to satisfy national demand and promote food security.
18 pages, Assessing farmers’ satisfaction with the quality of agricultural-extension services is essential for developing extension programs that comply with farmers’ needs and agroecological conditions. This study aimed to determine factors influencing farmers’ satisfaction with extension services. Data were collected through a questionnaire from a random sample of 393 farmers in the Kafr El Sheikh governorate. Farmers assessed the quality of extension services by five main indicators: (1) availability, (2) accessibility, (3) diversity, (4) relevance, and (5) effectiveness. Descriptive statistics and a logistic-regression model were used to analyze the data. Results showed that farmers had lowly participated in the provided extension services. The accessibility of services was ranked first with regard to satisfaction, while diversity of services was the lowest-ranked quality attribute. Results also revealed that factors significantly influencing farmers’ satisfaction included farm size, diversity of farming activities, annual income, and participation in extension services. Results provide practical implications for policy makers to support smallholder farmers by providing high-quality extension programs.
