8pgs, The agribusiness sector includes a diverse group of interests - crop producers, livestock and meat producers, poultry and egg companies, dairy farmers, timber producers, tobacco companies and food manufacturers and stores. The industry has new-found relevance going into 2019 as the trade war between China and the United States continues to rage leaving many in the business, especially soybean farmers, hurting.
The industry's giving reached its peak in the 2016 presidential cycle spending more than $118 million. The number fell in 2018 to more than $92 million, but was good for the third-highest spending cycle, and highest for a midterm, the industry has had.
Summarizes results of a non-farmer survey documenting how each of five stages of the agricultural and food business value chain is evolving in terms of data collection and use.
16 pages., Via online journal., Expertise is dynamic, domain specific, and characterized according to an individual’s level of knowledge, experience, and problem-solving ability. Having expertise in the phenomenon under investigation can be used as an indicator of an individual’s aptitude to effectively serve as a coder in a content analysis or as panelist in a Delphi study. The purpose of this study was to assess 10 years of scholarship published in the premier journals of agricultural education and describe the ways researchers in agricultural communications, education, extension, and leadership disciplines who use content analysis and Delphi study methods are describing the qualifications of the people serving as expert coders and panelists. The study findings revealed the majority of researchers publishing in the premier agricultural education journals are not describing the qualifications used in selecting coders or the credentials the coders possess that would make them qualified to code the data in a content analysis. Furthermore, researchers were inconsistent citing literature that supported their selection of content analysis coders and citing literature to support a decision to describe or not to describe coders’ qualifications. However, a description of Delphi study panelists’ qualifications and citations to support why panelists were selected in a Delphi study were present in all of the Delphi studies analyzed over the 10-year period. Based on these findings, it was concluded that ACEEL researchers should include a description of coder credentials to enhance the consistency, transparency, replicability, rigor, and integrity of ACEEL research. Editors and research professionals who perform journal article reviews for the premier agricultural education journals are encouraged to note the exclusion of a description of content analysis coders’ credentials as part of the peer review process.
1 page., September-November issue via online., Report on a drone service, WeFly Agri, "to help farm and plantation owners regain control of their land."
18 pages., via online journal, As food products marketed as “gluten-free” become increasingly popular, many consumers start to exclude sources of gluten (e.g., wheat, barley, and rye) from their diets for both medical and non-medical purposes. The grain industry is facing a growing challenge to (re)boost consumers’ confidence in the healthiness and safety of its commodities. Using 561 participants recruited from the Amazon Mechanical Turk workers’ panel, this study implemented a 2 (pretzels vs. potato chips) * 2 (positive- vs. negative- frame) * 2 (wheat image vs. no wheat image) experiment to examine the effects of gluten-free labels on consumers’ perceived healthiness and safety of wheat, perceived benefits of labeled products, and their evaluation of the shown labels. Results showed that consumers evaluate the gluten-free labels most positively when they appear on products that could have contained gluten. For products that are naturally gluten-free, adding a gluten-free label only decreased consumers’ confidence in such labels. The presence of gluten-free labels increased consumers’ perceived benefits of the labeled products when they do not contain any misleading information (e.g., image of a wheat head). However, some gluten-free labels could have negative impacts on consumers’ perceptions of the healthiness and safety of wheat. Overall, food producers and marketers might have undervalued consumers’ literacy and overestimated their susceptibility to marketing strategies. We discussed the implications for food marketers, regulators, and communicators.
Ferguson, Bruce G. (author), Morales, Helda (author), Chung, Kimberly (author), Nigh, Ron (author), and El Colegio de la Frontera Sur
Centro de Investigaciones y Estudios Superiores en Antropología Social
Michigan State University
Format:
Online journal article
Publication Date:
2019-03-26
Published:
Mexico: Taylor & Francis
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 109 Document Number: D10984
21 pages, 21 pages, We explore potential and limitations for agroecological scaling through formal education, using the LabVida school gardens program in Chiapas, Mexico as a case study. Through LabVida training, educators gained an appreciation of agroecology and learned to apply agroecological practices, although their understanding of agroecological principles and scientific process remained limited. The greatest program impact was on educators’ eating habits, and their perception of the value of local knowledge and its relevance to school work. The case study demonstrates the potential of garden and food-system work to leverage institutional resources in ways that can improve educational outcomes, including agroecological literacy. Increased awareness of agroecology and the value of local knowledge may intersect with other drivers of scaling, including markets, organizational fabric, and policy.
11 pages., Via online journal article, OBJECTIVES: To examine the impact of social media influencer marketing of foods (healthy and unhealthy) on children’s food intake.
METHODS: In a between-subjects design, 176 children (9–11 years, mean 10.5 ± 0.7 years) were randomly assigned to view mock Instagram profiles of 2 popular YouTube video bloggers (influencers). Profiles featured images of the influencers with unhealthy snacks (participants: n = 58), healthy snacks (n = 59), or nonfood products (n = 59). Subsequently, participants’ ad libitum intake of unhealthy snacks, healthy snacks, and overall intake (combined intake of healthy and unhealthy snacks) were measured.
RESULTS: Children who viewed influencers with unhealthy snacks had significantly increased overall intake (448.3 kilocalories [kcals]; P = .001), and significantly increased intake of unhealthy snacks specifically (388.8 kcals; P = .001), compared with children who viewed influencers with nonfood products (357.1 and 292.2 kcals, respectively). Viewing influencers with healthy snacks did not significantly affect intake.
CONCLUSIONS: Popular social media influencer promotion of food affects children’s food intake. Influencer marketing of unhealthy foods increased children’s immediate food intake, whereas the equivalent marketing of healthy foods had no effect. Increasing the promotion of healthy foods on social media may not be an effective strategy to encourage healthy dietary behaviors in children. More research is needed to understand the impact of digital food marketing and inform appropriate policy action.
11 pages, via Online journal, The Soil Vulnerability Index (SVI) was developed by the USDA Natural Resources Conservation Service (NRCS) to identify inherent vulnerability of cropland to runoff and leaching. It is a simple index that relies on the SSURGO database and can be used with basic knowledge of ArcGIS. The goal of this study was to investigate a relationship between constituent (sediment and nutrient) loadings and fraction of the watershed in each SVI class. The SVI maps were developed for each of the seven subwatersheds of the Mark Twain Lake watershed in Missouri, which were similar in soil conditions and climatic variability. The SVI assessment was performed by investigating if the distribution of the SVI for cropland in each subwatershed could help explain measured 2006 to 2010 sediment and nutrient loads better than crop distribution alone. Regression analyses were performed between annual loads of sediment and nutrients exported from the watersheds and a composite number that included either cropland distribution alone, or cropland distribution combined with the SVI. Coefficients of determination and p-values were compared to assess the ability of land use and SVI distributions to explain stream loads. Integrating the SVI in the land cover variable improved the ability to explain constituent loads in the watersheds for sediment, total nutrients, and dissolved nitrogen (N). Regression results with and without the SVI were identical for dissolved phosphorus (P), potentially indicating that SVI was not indicative of dissolved P transport at the current site. Overall, the application of the SVI at watershed scale was not perfect, but acceptable at correctly identifying cropland of greatest vulnerability and linking with transported constituent loads.
Axelson J. (author), Battles J. (author), Bulaon B. (author), Cluck D. (author), Cousins S. (author), Cox L. (author), Estes B. (author), Fettig C. (author), Hefty A. (author), Hushinuma S. (author), Hood S. (author), Kocher S. (author), Mortenson L. (author), Koltunov A. (author), Kuskulis E. (author), Poloni A. (author), Ramirez C. (author), Restaino C. (author), Slaton M. (author), Smith S. (author), and Tubbesing C. (author)
Format:
Online journal article
Publication Date:
2019-03-11
Published:
USA: University of California
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 16 Document Number: D10456
10 pages., via online journal, The collaboration helps to coordinate research on the extent and nature of tree mortality and gets the results to forest managers quickly.
20 pages., Via online from the University of Illinois website., Authors' review provided an overview of the data sources, computational methods, and applications of text data in the food industry. Applications of text data analysis were illustrated with respect to food safety and food fraud surveillance, dietary pattern characterization, consumer-opinion mining, new-product development, food knowledge discovery, food supply-chain management, and online food systems.
