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    Consumer Study of Agrivoltaics Food Products Including Tomato, Basil, Potato, Bean, and Squash

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    Author
    Rogers, Mariah Autumn
    Issue Date
    2022
    Keywords
    Agrivoltaics
    Consumer Study
    Flavor
    Sensory
    Social Acceptability
    Solar Panels
    Advisor
    Barron-Gafford, Greg
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    The focus of agrivoltaic systems (AVS) research has been on microclimatic impacts and the associated agricultural production. More recently, AVS research has begun to focus on social acceptability regarding the solar industry and solar implementation, but few studies have assessed the effects of the AVS microclimate on the sensory and consumer acceptability of crops. We used the lens of the three pillars of sustainability (economic, social, environmental) to assess the broader sustainability of AVS. More specifically, to understand how AVS products will be viewed in the market, we studied five species of produce (Solanum lycopersicum (‘Perfect Cocktail Snack’ cherry tomatoes), Ocimum basilicum (‘Sweet’ basil), Solanum tuberosum (‘Caribe’ potatoes), Phaseolus vulgaris (‘Anasazi’ red beans), and Cucurbita moschata (butternut squash)) grown under solar panels and grown in traditional, full-sun (control) conditions. AVS and control grown crops were compared using untrained panelists recruited at both the University of Arizona Main Campus and Biosphere 2. Participants were asked to distinguish any perceptible differences between AVS and open field conditions and if there were preferences in taste between AVS and open field conditions. Binomial logistic regressions were used to assess the maximum likelihood estimation to evaluate the probability of future consumers’ ability to discriminate between AVS and control conditions. Multinomial logistic regressions were used to determine the maximum likelihood estimation to evaluate future consumers’ preferences and willingness to pay for AVS and control grown products. The sensory evaluation results revealed that there were significant differences between growth conditions (p<0.05) for tomatoes, beans, and squash samples (Table 3), however, there was only a significant difference in preference (p<0.05) for bean samples (Figures 2 - 4). Participants were also willing to pay the same or more for their favorite samples after they were told that their favorite samples were grown under solar panels (Figure 5). With this information, stakeholders can understand that preference and differences between growth conditions were not perceived by tasters. As a result, this thesis can be used to determine potential outcomes of AVS products in the marketplace and fills a major gap regarding sensorial perceptions and social acceptance of AVS grown crops.
    Type
    text
    Electronic Thesis
    Degree Name
    M.A.
    Degree Level
    masters
    Degree Program
    Graduate College
    Geography
    Degree Grantor
    University of Arizona
    Collections
    Master's Theses

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