14 pages, A study on effects of climate change on rice (Oryza sativa) production in Tharu communities of Dang district of Nepal was conducted in 2018A.D to investigate the perception and major adaptation strategies followed by Tharu farmers. The study areas were selected purposively. Cross-sectional data was collected using a household survey of 120 households by applying simple random sampling technique with lottery method for sample selection. Primary data were collected using semi-structured and pretested interview schedule, focus group discussion and key informants interview whereas monthly and annual time series data on temperature and precipitation over 21years (1996-2016) were collected from Department of Hydrology and Meteorology, Kathmandu as secondary data. Descriptive statistics and trend analysis were used to analyze the data. The ratio of male and female was found to be equal with higher literacy rate at study area than district. Most of the farmers depended on agriculture only for their livelihood where there was large variation in land distribution. Farmers had better access to FM/radio for agricultural extension information sources. The study resulted that Tharu farmers of Dang perceived all parameters of climate. Temperature and rainfall were the most changing component of climate perceived by farmers. The trend analysis of temperature data of Dang over 21 years showed that maximum, minimum and average temperature were increasing at the rate of 0.031°C, 0.021°C and 0.072°C per year respectively which supports the farmers perception whereas trend of rainfall was decreased with 7.56mm per year. The yearly maximum rainfall amount was increased by 1.15mm. The production of local indigenous rice varieties were decreasing while hybrid and improved rice varieties were increasing. The district rice production trend was increasing which support the farmer’s perception. The study revealed that there were climate change effects on paddy production and using various adaptation strategies to cope in Dang district.
4 pages, Social media use in public health and other health related research applications has seen a rapid increase in recent years. However, there has been very limited utilization of this growing digital sector in agricultural injury research. Social media offers immense potential in gathering informal data, both text and images, converting them into knowledge, which can open up avenues for research, policy, and practice. There are a number of ways social media data can be utilized in agricultural injury research. This paper touches on the adoption of these data sources in health research and discusses the use of social media as an exploratory research tool that can peer into and identify the edges of potential health and safety problems.
7pgs, The grape and wine industry in Iowa is based on non-Vitis vinifera grapes, which are not well-known and come with their own set of challenges. An industry survey revealed that wine business and marketing are the main concerns for the Iowa grape and wine industry members. The educational resources already provided by Extension personnel were highly appreciated and events should be offered in several locations around Iowa. The main topics of roundtables and discussions should be about vineyard management and winemaking practices, specifically practices to avoid microbial spoilage, to reduce wine acidity and to select appropriate yeasts for fermentation.
Preconceived notions exist about small-scale farmers in the U.S. Beyond research on new and beginning farmers, few empirical studies have learned directly from small-scale farmers in the U.S. about their perspectives and experiences. By analyzing semi-structured interviews of small-scale farmers in Indiana, this study develops an in-depth understanding of the multi-dimensional motivations and experiences of small-scale farmers and the interconnected, multi-scalar challenges they face. The lack of social infrastructure to support small-scale farmers becomes paramount as they contend with dilemmas of engaging in pluriactivity, securing reliable labor, and navigating relationship building with consumers and peers for both short-term profits and long-term social capital. This study contributes to understanding how small-scale farmers’ motivations, experiences, challenges, and strategies interact to shape their relationship to the land, their farming enterprise, and their perception of and position in the larger agro-ecological-social-economic system, and highlights the need to improve social infrastructure to support small-scale farmers.
9 pages, To understand environmental conditions Pennsylvania agricultural producers had observed in the past and what their environmental concerns were for the future, we conducted a statewide survey. We used Spearman rank order correlations to show differences between past observations and future concerns regarding environmental conditions and found a disconnect between what respondents previously had observed and their anticipations for the future. Additionally, we used chi-square analysis to determine whether perspectives on environmental conditions were related to producer demographic characteristics. Two demographic variables were significant: generation of farmer and political affiliation. Our findings can assist Extension professionals in developing programs tailored to target audiences' environmental perceptions and demographics.
12 pages, eOrganic, the Organic Agriculture Community of eXtension, has conducted webinars on organic farming research for over a decade. I examined questions asked by farmers and university researchers or educators during 52 webinars presented 2015–2017. A higher proportion of questions asked by farmers than questions asked by researchers/educators were about risks, benefits, and problem solving, and the farmers' questions contained many innovative ideas about production. A higher proportion of researcher/educator questions than farmer questions related to details of research studies, though farmers also posed questions about research methods. This article contains suggestions about tailoring research presentations to farmer audiences and confirms the mutual benefits of collaborations between farmers and researchers.
9 pages, Social media has been recognized as a powerful tool supporting communication of many topics in the agriculture industry. We explored the use of social media platforms among farmers market managers and specialty crop growers in Illinois through an online survey. Facebook, Instagram, and Twitter were platforms used by the majority of respondents. We found that social media was used primarily for communicating with consumers for marketing purposes. We identified major training needs of farmers market stakeholders related to using social media to promote business and convey food safety information.
12 pages, Many environmental dilemmas such as water scarcity originate from human behavior. This study aimed to analyze Iranian farmers’ water conservation behavior using Bandura’s social-cognitive theory. To this end, a cross-sectional survey was conducted to collect the required data. The research instrument was a questionnaire. A sample of 380 farmers was selected using a multistage stratified random sampling method. The results indicated that variables of social-cognitive theory could predict about 73% of farmers’ water conservation behavior variance. Investigation of direct effects of factors on farmers’ water conservation behavior revealed that the major determinants are as follows: intention of water conservation, social-structural factors, perception of others’ behavior, outcome expectancy, self-efficacy, and water conservation co-regulation. Findings showed that factors that have been mentioned in social-cognitive theory could be considered for enhancing farmers’ water conservation behaviors since the theory provides a more realistic insight into farmers’ behaviors with an emphasis on farmers’ social and structural contexts
15 pages, This paper studies Chinese grape growers’ time discounting and its implications for the adoption of technology that can reduce the negative effects of increasing precipitation. Using primary data collected in Xinjiang Province, we undertook a contingent valuation of rain covers that protect fruit from rain and estimated a discounted utility model using these data. Using a hierarchical Bayesian approach, we find that local grape growers discount the future very heavily, with a discount rate of 0.17 per year, which is almost four times higher than the Chinese market interest rate. Farmers also tend to underestimate the benefits of adopting covers, with their purchase decisions appearing to largely depend on their past actual losses rather than future anticipated losses. These findings have broader implications for policies promoting proactive adaptation in response to likely increased rainfall in the region. Targeting farmers who give lower weight to events far off in the future and understanding that many farmers may tend only to make adoption decisions that have strong short-term benefits could improve the efficacy of climate policies that target agricultural technologies.
16pgs, Joint venture (JV) farm structures have the potential to increase the productivity and profitability of traditional family farms. However, such structures are not widely adopted within the farm business community. Furthermore, knowledge on the relative attractiveness of different JV models to farmers is limited. We use a choice experiment to explore what JV structures are preferred by Australian farmers, and how farmers’ socio-demographic and attitudinal characteristics influence the type of JV structure preferred. A latent class analysis revealed significant unobserved preference heterogeneity amongst the population. We identify four latent classes that differ in their preferences regarding the number of JV partners, access to new machinery, and/or the opportunity for additional annual leave. All classes of farmers displayed positive preferences for operational decision-making with other JV partners, although they varied in their preferences towards final operational responsibility. The diversity in preferences shows that there is no ‘one size fits all’ JV design, leaving opportunities for a range of JV decision models. Such flexibility in JV design is likely to have advantages when seeking JV partners, with a significant proportion of the sampled population open to collaborative decision-making models.
