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.
6 pages, via online journal, In order to design and implement public policies in the context of rural development, information tends to be gathered about family farming in different Latin American countries. In contrast, scarce attention has been given to the description of rural extensionists, who are the ones supporting family farming in the fi eld. A cross-sectional investigation was conducted between 2010 and 2012 including surveys to rural extensions working in 10 different Latin American countries, this allowing for a preliminary description of the socio-demographic profile of the respondents. The samples were incidental ranging from 19 (Bolivia) to 220 (Argentina) subjects, this implying that they were not representative. Significant statistical differences were found with regards to the sex, age, experience, level of education and university degree of the samples pertaining to the different countries. In average, most extensionists are men (70.1%), age 40.3 and have little more than 11 years of experience as extensionists. Brazilian practitioners surveyed are the oldest, most educated and experienced among the different samples. In general, most extensionists have a technical background and are agricultural engineers. The Uruguayan sample showed the highest percentage of extensionists coming from the area of social sciences.