Virginia Agricultural Experiment Station

Permanent URI for this community

https://hdl.handle.net/10919/24235
The Virginia Agricultural Experiment Station conducts research on food and fiber systems, their impact on the environment, and their relation to the future needs of Virginia, the nation, and the world.

Browse

Browsing Virginia Agricultural Experiment Station by Department "Agricultural and Applied Economics"

Now showing 1 - 4 of 4
  • Thumbnail Image
    Cyberbiosecurity: A New Perspective on Protecting US Food and Agricultural System
    Duncan, Susan E.; Reinhard, Robert; Williams, Robert C.; Ramsey, A. Ford; Thomason, Wade E.; Lee, Kiho; Dudek, Nancy; Mostaghimi, Saied; Colbert, Edward; Murch, Randall Steven (Frontiers, 2019-03-29)
    Our national data and infrastructure security issues affecting the "bioeconomy" are evolving rapidly. Simultaneously, the conversation about cyber security of the U.S. food and agricultural system (cyber biosecurity) is incomplete and disjointed. The food and agricultural production sectors influence over 20% of the nation's economy ($ 6.7T) and 15% of U.S. employment (43.3M jobs). The food and agricultural sectors are immensely diverse and they require advanced technologies and efficiencies that rely on computer technologies, big data, cloud-based data storage, and internet accessibility. There is a critical need to safeguard the cyber biosecurity of our bio economy, but currently protections are minimal and do not broadly exist across the food and agricultural system. Using the food safetymanagement Hazard Analysis Critical Control Point systemconcept as an introductory point of reference, we identify important features in broad food and agricultural production and food systems: dairy, food animals, row crops, fruits and vegetables, and environmental resources (water). This analysis explores the relevant concepts of cyber biosecurity from food production to the end product user (such as the consumer) and considers the integration of diverse transportation, supplier, and retailer networks. We describe common challenges and unique barriers across these systems and recommend solutions to advance the role of cyber biosecurity in the food and agricultural sectors.
  • Thumbnail Image
    Regulatory costs on Pacific coast shellfish farms
    van Senten, Jonathan; Engle, Carole R.; Hudson, Bobbi; Conte, Fred S. (2020-07)
    Concern within the U.S. aquaculture industry and a developing research literature on aquaculture regulations have prompted attempts to quantify on-farm regulatory compliance costs. A survey was conducted of the Pacific coast shellfish industry (Washington, Oregon, and California) to assess the on-farm economic effects of regulations. The response rate for this study was 27%, but captured 74% of the value of Pacific coast shellfish production. The total annual regulatory burden for the Pacific coast, excluding non-cash opportunity costs, was estimated at $15.6 million (increased farm costs due to regulation), with an additional $110 million in annual lost sales revenue (markets lost due to regulatory action or trade barriers) and $169.9 million in additional lost opportunities (due to regulatory barriers to expansion or diversification); average annual costs were estimated to be $240,621 per farm and $68,936 per hectare. Analysis by farm size demonstrated greater regulatory cost burdens per ha on smaller-scale producers. Study results show that the Pacific coast shellfish industry has experienced extensive delays in permitting resulting in substantial lost opportunities, as well as high regulatory costs that have prevented the entry of new businesses; both contributing to the exit of existing farms, and otherwise prevented the industry from responding to growing demand for U.S. shellfish aquaculture products.
  • Thumbnail Image
    SmartFarm Innovation Network
    Duncan, Susan E.; Ramsey, A. Ford (2019-10-04)
    This poster represents a variety of projects funded, in part, by the Virginia Agricultural Experiment Station, Virginia Tech Institute for Creativity, Arts, and Technology, NIFA, USDA NIFA and other funding sources. Some of these researchers are affiliated with the Southwest Virginia Regional Node of the Commonwealth Cyber Initiative.
  • Thumbnail Image
    Utilizing Consumer Perception of Edamame to Guide New Variety Development
    Carneiro, Renata C. V.; Duncan, Susan E.; O'Keefe, Sean F.; Yu, Dajun; Huang, Haibo; Yin, Yun; Neill, Clinton L.; Zhang, Bo; Kuhar, Thomas P.; Rideout, Steven L.; Reiter, Mark S.; Ross, W. Jeremy; Chen, Pengyin; Gillen, Anne (2021-01-18)
    Consumption of edamame (vegetable soybeans) has increased significantly in the U.S. over the last 20 years. Although market demand has been increasing, most edamame is still imported from Asian countries. A team of multistate plant-breeding programs in the mid-Atlantic and Southeast U.S. has focused on developing new breeding lines that grow well in the U.S. and deliver what domestic growers, processors and consumers need and expect from their edamame. In our study, sensory evaluation was used to identify edamame genotypes and sensory attributes preferred by consumers to support breeding selection criteria. In the first year (reported as our "screening study"), 20 edamame genotypes were grown in three locations: Newport, AR, and Blacksburg and Painter, VA. In the second year (reported as our "validation study"), 10 edamame genotypes selected after our screening study were grown in Blacksburg and Painter, VA, Portageville, MO, and Stoneville, MS. In both years of research, untrained participants (adults; vegetable consumers not allergic to soy; N >= 50) used a traditional 9-point acceptability (hedonic) scale (1 = "dislike extremely"; 9 = "like extremely") to evaluate overall-liking, aroma, appearance, taste, and texture, and a 5-point scale (1 = "not sweet," 5 = "extremely sweet") to evaluate sweetness intensity. Next, participants used a check-all-that-apply (CATA) list of selected sensory terms to describe the sensory characteristics of each edamame sample. Overall acceptability of edamame genotypes was significantly different among all genotypes (p < 0.05). Samples described as "bitter," "sour" (flavor) or "starchy" (texture) were associated with lower acceptability scores while "salty" and "sweet" (flavor) were correlated with higher acceptability. Sensory data from the screening study were used to select the best genotypes by use of a defined decision process based on the consumer data. The validation study tested the selection decisions and further supported the genotype choices. Sensory evaluation is a powerful tool to direct breeders to improve market acceptability and develop new edamame genotypes. Both screening and validation studies illustrate the significant role of consumer sensory data in support of genotypes targeted for domestic (U.S.) production.