Organic grains are essential for the organic food industry. In the U.S., low adoption of organic grain farming has constrained further development of the organic food sector. Organic food industry stakeholders have appealed to producers to increase domestic organic grain production. The U.S. federal government supports research and extension education regarding organic farming. In this context, there is a need for both agricultural researchers and extension professionals to further (1) examine the factors that motivate farmers to adopt organic grain farming and (2) identify the challenges that hinder farmers’ adoption of organic grain farming. We conducted 17 in-depth interviews with organic grain farmers in Iowa, USA. By applying multiple social-behavioral theories as part of the analysis and comparing interview results with the literature, we gained insight into the ways in which farmers formed adoption motivations, and we captured the dynamics of the motivations. We specifically identified challenges to adoption that were associated with organic farming operation and management, organic market accessibility, information and inputs availability, social tension, and level of support from the government. These findings shed light on the ways in which farmers’ adoption challenges have evolved with institutional, ecological, and technological changes over time and how contemporary research and extension may encourage adoption.

The agricultural conservation practice of prairie strips is new and novel. Prairie strips planted in row crop fields warrants greater adoption because the application decreases erosion; protects water quality; and supports habitat for wildlife and biodiversity, including pollinators. Prairie strips are a vegetative practice composed of diverse, native, and mostly perennial species that, as a community, follow principles of ecological succession; however, they must be managed for success. Farm advisor comprehension of practice characteristics is key for adoption by producers and landowners. This article reports on a developmental evaluation of workshops intended to change farm advisor knowledge, skills, and confidence related to prairie strips management for use in consulting with farmers and landowners. The study used pre-post instruments of knowledge and skill focused on prairie species identification and age of prairie strips planing; pre-then post-end of session questions were asked in a survey to report change in knowledge, skill, and confidence, as well as farm advisor situation. Advisors reported increased confidence, but acquisition of prairie knowledge and skills resulted in flat to lower scores. The paper explores the discrepancy of lower cognitive scores (knowledge and skills) compared to higher confidence. Explanations explore the phenomena of satisficing and perceived self-efficacy to explain the differential.

Installation of prairie strips is a new conservation best management practice (BMP) that involves using a species-rich mix of native prairie grasses, forbs, and legumes. "Prairie strips" are planted along the contours of an agricultural field at the 10% level to manage potentially polluting runoff and are promising for control of nitrogen and phosphorus. Researchers used whole watersheds to replicate findings, providing a high degree of rigor in the study of this new BMP. Moreover, cooperating farmers and landowners have successfully used farm programs to subsidize prairie strip plantings. Besides sediment and nutrient control, an additional benefit is high plant biodiversity, which leads to more diverse and healthier wildlife and pollinator populations.

The forecasting abilities of Delphi technique worked well when a farmer organization wanted to predict on-farm research topics for its farmer membership. This article provides evidence—after 10 years—that Delphi successfully predicted ideas for research that lasted long into the future, including a compelling unanticipated result that changed the face of the organization. Would you want to use a research tool that was this powerful in organizational settings? This article contains details about setting up, conducting, and interpreting the Delphi.