10 pages, The study was focused on identifying sources of agricultural information and analyzing challenges faced by smallholder farmers in accessing agricultural information in Southern Ethiopia. To achieve the stated objectives the study district was selected purposively from Wolaita zone by selecting five kebeles randomly. At the end, a total of 150 sample households were randomly selected from these five kebeles. To collect the data both primary and secondary sources were used for the purpose of this study. Primary data were collected directly from sample respondents through structured and semi-structured interview schedules, observation and focus group discussions. Secondary data were collected from Woreda agriculture and rural development office report, and other relevant books, journal articles and the Internet. After the relevant data were collected, the descriptive statistics such as mean, frequency, and percentage, and the inferential statistics such as chi-square tests were also used. The findings indicate that female farmers, illiteracy, location of market center, information seeking behavior of farmers, low rate of extension-farmers linkages, inadequate operational skill of aids, language barriers, lack of training, lack of rural electrification, lack of development agents, absence of rural networks, inadequate reading materials, and inappropriate time of broadcasting are the main challenges smallholder farmers were faced with. Therefore, to overcome the challenges strong commitment and reformation should be done in the study area by the concerned stakeholders.
17 pages., This study examined the effectiveness of the channels used to deliver agricultural information and knowledge to smallholder farmers in Tanzania. A descriptive cross-sectional design alongside quantitative and qualitative approaches was employed to collect data from 341 respondents. While the data collected through the questionnaire was analysed by using Statistical Product and Service Solutions (SPSS) version 21, the data collected through the interview was analysed by using thematic analysis. The findings suggest that delivery of and access to timely and relevant agricultural information and knowledge, appropriately packaged, is one of the critical problems undermining smallholder farmers’ efforts to increase their production. As a result, most smallholder farmers mainly depend on informal channels. Besides informal channels, farmer groups and demonstration plots are becoming popular channels to deliver and access agricultural information and knowledge. To make a difference in agricultural production, deliberate efforts should be made to enhance the delivery of agricultural information and knowledge.
United States: Texas Tech Univeristy, Lubbock, Texas
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 204 Document Number: D12460
Notes:
115 pages, Lab grown meat is a new technology being developed as a potential alternative protein source. Although some research has been done about public perception of lab grown meat, no studies to date have analyzed social media content regarding this topic. Still yet, no studies have observed the effects of message themes on public perception of lab grown meat. This two-part study first sought to analyze the Twitter messages discussing lab grown meat using Meltwater, a social media monitoring software. Secondly, the study sought to better understand measures of uncertainty and risk and benefit perceptions after viewing a themed blog post about lab grown meat. In part one, a relevant keyword search from August 28, 2018 to February 28, 2019 collected over 11,000 Twitter messages. Sentiment of messages was analyzed with 47% of messages being neutral. Meltwater identified trending themes that were all closely tied to lab grown meat, and top content posters with the most amount of potential reach were identified. All top posters were found to be news entities or organizations instead of personal Twitter accounts. In part two, participants were randomly assigned one of three themed blog posts against lab grown meat, neutral, or support lab grown meat. Perception questions were asked after viewing the blog post, and a total of 238 responses were collected. Results indicated message theme had a statistically significant effect on risk perception, benefit perception, and intention to share, but not on message evaluation or measures of uncertainty. Further discussion as well as suggestions for future research are included.
10 pages, Ongoing climate change and associated food security concerns are pressing issues globally, and are of particular concern in the far north where warming is accelerated and markets are remote. The objective of this research was to model current and projected climate conditions pertinent to gardeners and farmers in Alaska. Research commenced with information-sharing between local agriculturalists and climate modelers to determine primary questions, available data, and effective strategies. Four variables were selected: summer season length, growing degree days, temperature of the coldest winter day, and plant hardiness zone. In addition, peonies were selected as a case study. Each variable was modeled using regional projected climate data downscaled using the delta method, followed by extraction of key variables (e.g., mean coldest winter day for a given decade). An online interface was developed to allow diverse users to access, manipulate, view, download, and understand the data. Interpretive text and a summary of the case study explained all of the methods and outcomes. The results showed marked projected increases in summer season length and growing degree days coupled with seasonal shifts and warmer winter temperatures, suggesting that agriculture in Alaska is undergoing and will continue to undergo profound change. This presents opportunities and challenges for farmers and gardeners.
