Abstract
Background and goals Peer knowledge networking groups connect growers, facilitate knowledge dissemination, and promote cooperation. Our goals were to document the structure, function, and impacts of such groups in California.
Methods and key findings We interviewed the coordinators of eight groups and surveyed their members. Qualitative analysis of the interviews identified challenges of operating these groups, strategies to overcome them, and positive impacts. Challenges were recruitment, membership, leadership, and group processes. Positive impacts were increased knowledge sharing, social connections, practice adoption, pressure for regulatory change, future resilience, and reduced pest and disease pressure. Member survey data found that members established relationships, participated in group projects, adopted practices, and worked with their neighbors to coordinate practices and share expertise, data, and resources. A social network analysis of 249 individuals communicating about vineyard pest and disease management in Napa County illustrated such groups’ central importance. Members scored higher on centrality measures compared to non-members, indicating that they communicate with more network actors and are more important intermediaries for information exchange. This difference was significantly magnified for members who joined multiple groups and transcended differences based on job role.
Conclusions and significance In this work, we illustrate the positive impacts of the groups we studied, describing their capacity to establish a network of participants, provide a forum for continued engagement among members, and support the resilience of regional agricultural operations. Practical strategies for establishing and coordinating peer knowledge networking groups, as well as insights relevant to future efforts for expanding agricultural networks and harnessing their potential to engage growers in collective responses, are also suggested.
- knowledge dissemination
- outreach and education
- pest management
- qualitative analysis
- social network analysis
- social science
Introduction
Pests and diseases are a perpetual burden on agricultural industries, with increasing challenges arising from factors such as globalization and changing climatic conditions (Bebber et al. 2014, Skendzic et al. 2021). Globally, pests are estimated to cause crop losses of 20 to 40%, with $220 billion in economic losses from plant diseases and $70 billion from invasive insects (FAO 2022). For the North American winegrape industry, key threats include vector-borne viruses (Fuchs 2025, NASEM 2025) and bacteria (Giménez-Romero et al. 2022), fungal pathogens (Kunova et al. 2021, Peng et al. 2023), and pests that physically damage vines (Reineke and Thiery 2016, Yin et al. 2021). Many pests and diseases transcend farm boundaries and spread regionally; collective action at the regional scale is required to effectively manage such threats (Garcia-Figuera et al. 2024). Examples of collective action include sharing data on disease incidence and vector populations, coordinating practices (habitat modification, pesticide application, mating disruption), sharing costs, and simultaneously removing and replanting neighboring vineyard blocks (Ioriatti et al. 2011, Cooper et al. 2014, Hogg et al. 2021, Hobbs et al. 2022, Paudel et al. 2024, Daugherty et al. 2025). Coordinating these collective activities can be challenging due to the need for neighbors to establish relationships and effective communication. Affected parties must mutually agree that collective action is needed and must be willing to enact practices that may be logistically difficult to coordinate (Sherman et al. 2019, Hobbs et al. 2023).
Adoption of management practices at the individual and regional scale depends upon factors that can be broadly classified into three categories: economic, social-behavioral, and knowledge (Babin et al. 2022, Hobbs et al. 2023). First, management practices must be cost-effective and perceived as such by decision-makers. Growers must have the capacity to implement practices in terms of resources, personnel, and training. Second, organizational and industry social processes should be favorable to adaptation and cooperation (Lowder et al. 2024a). For example, strong organizational processes within farming companies support high quality decisions and implementation, whereas dysfunctional processes hinder implementation or lead to adoption of ineffective practices. Regional cooperation and public policy instruments should provide resources and support development and implementation of evidence-based practices (Garcia-Figuera et al. 2024, Paudel et al. 2024). In general, growers view collective action positively, but many are open to collaboration only when the benefits are clear, there are quantifiable returns, or they are situational joiners balancing cooperation with practical constraints (Lowder et al. 2024b).
Underpinning economic and social-behavioral factors is the need for agricultural decision-makers to acquire essential knowledge, primarily of the pathosystem and the practices needed to achieve successful management outcomes (Allahyari et al. 2016, Oliver et al. 2021, Hobbs et al. 2022). Such knowledge allows decision-makers to accurately evaluate the suitability of new practices for their specific context, appraise the risks of adoption, and reduce uncertainty in making adoption decisions (Rogers 2003, Lefebvre et al. 2015). Outreach programs delivered by university extension professionals and industry educators are a principal method for disseminating agricultural knowledge (Black 2000). Effective knowledge dissemination spreads awareness of available practices, guides implementation, and helps decision-makers pivot their practices when conditions shift or scientific insights and technology advance. Broadcasting information through outreach events and educational resources spreads awareness and makes critical knowledge resources available but is not the only factor responsible for widespread adoption. Few decision-makers are persuaded by technical information alone, with most requiring persuasion via interpersonal peer-to-peer interactions (Rogers 2003, Shaw et al. 2011, Dedehayir et al. 2017, Lowder et al. 2024a). Such peer interactions occur within social networks. The strength of social networks in terms of the quality of interactions, communication, and cohesion, determines the speed and degree of knowledge diffusion and the impact on adoption (Peres 2014).
The concept of the peer knowledge networking group offers a mechanism to promote practice adoption and foster collective action. These groups bring together decision-makers from multiple organizations on a voluntary and informal basis and provide a venue to share information and experiences of mutual farming challenges (Hobbs et al. 2023). Prior work proposed a framework of four social network interventions (individual, segmentation, induction, and alteration) that when applied to these groups describes how they can improve individual and collective action in agricultural industries (Valente 2012). Within this framework, peer networking groups engage in grower-led network interventions to identify and change whole groups (segmentation); connect decision-makers who engage in peer-to-peer conversations and provide members with a collective information resource (induction); and change the structure of the social network (alteration), and by doing so, create the conditions necessary for collective action. Groups may enhance regional disease control by serving as a forum for facilitating difficult conversations between neighbors (Hobbs et al. 2023), or by aggregating and disseminating technical information collected by their members (MacDonald et al. 2021, Babin et al. 2022). Additionally, peer networking groups may contain individuals optimally placed to disseminate knowledge that outreach professionals can target to expand their reach and magnify their impact (Rogers 2003, Phelps et al. 2012, Hoffman et al. 2015, Lowder et al. 2024a).
Despite their potential to improve management outcomes and enhance network-based extension efforts, the mechanics, functions, and impacts of informal peer networking groups are poorly described in the published literature. This study addresses that knowledge gap by: (a) documenting the activities of networking groups of California winegrape growers; (b) collecting the views and experiences of their coordinators and members; and (c) describing their impact on adoption, knowledge dissemination, and social networks from the perspective of group members and coordinators. By doing so, we aim to improve understanding of the general approach and challenges faced by group members and coordinators. In the process, we hope to raise awareness of these groups’ potential to foster relationships that enhance evidence-based decision-making that results in the accomplishment of shared goals.
Materials and Methods
Participant peer knowledge networking groups
Eight peer knowledge networking groups were recruited via direct communication and characterized as either neighborhood (n = 6) or countywide (n = 2) groups (Table 1). Neighborhood groups are geographically limited to a highly localized area with specific boundaries (<13 km2) and comprise a small membership of growers within this contiguous area. The countywide groups are centered in Napa, California but have no fixed boundaries, aim for a larger membership, and include individuals from a broader geographic extent.
Details of participating peer networking groups.
Interviews with group coordinators
We interviewed seven neighborhood group coordinators from the Hillside, Oakville West, Pritchard Hill, Rutherford Central, and Rutherford North groups in Napa County and from the Jahant Area Vineyard Alliance (JAVA) in Lodi. From the countywide groups, three coordinators were interviewed from the Neighborhood Alliance for Vineyard Protection and the Vit Women group. Interview questions addressed group history; perceived impacts; and seven factors in a model proposing that coalition effectiveness depends on shared history between members, individual member characteristics, articulation of goals, group processes and organization, quality of communication, resources, and the presence of a skilled leader (Marek et al. 2015). Each interview consisted of nine open-ended questions to frame the conversation and prompt interviewees to discuss their experiences (Appendix 1). Follow-up questions explored the topics in greater detail. A list of these questions ensured major discussion points were covered, but exact follow-up questions were formulated as the conversation progressed. The 90-min interviews were audio-recorded and transcribed for analysis.
Group member survey and social network modeling
Survey questions (Appendix 2) recorded respondent characteristics (job role, company type) and number of meetings attended in the past 12 mo. Respondents selected from a checklist of perceived impact(s) of the group on practice adoption, networking, data and resource sharing, and collaboration with neighbors. They were asked to rate group success on a scale from one (little success) to four (very successful) and were invited to respond to two open-ended questions requesting qualitative feedback on successes, challenges, or improvements. The 202 members listed on the email contact lists of four groups were invited to complete the survey. In total, 46 group members responded to the survey, from three neighborhood groups (n = 18) and one countywide group (n = 28). This represented a total response rate of 22.7% and response rates between 18% and 45% for each individual group.
For the social network modeling, we formulated questions that were included with the group member surveys; these questions were also distributed more broadly at industry workshops and meetings and through email solicitation. These data were collected from January 2024 to January 2025. Respondents were asked to provide names and job roles for themselves and four industry contacts they had communicated with about vineyard pest and disease management in the past 12 mo (Hoffman et al. 2015, Lowder et al. 2024a). They were then asked if they could supply additional names (“none”; “a few more”; “many names”), with space provided to list additional contacts. The anonymity of all responses was emphasized. Respondents were also asked to indicate which peer knowledge networking groups they were members of, if any. Responses were received from 32 group members and 28 non-group members. The job roles of the respondents were viticulturist (32%), vineyard manager (15%), winemaker (10%), director (10%), extension professional (8%), owner (5%), viticulture consultant (5%), pest control adviser (5%), sales representative (3%), viticulture technician (5%), or unknown (2%).
Data analysis
Thematic analysis of coordinator interviews
Transcribed audio files were analyzed by two of the authors using previously published guidelines (Braun and Clarke 2012). One author initially coded the transcripts into top level themes. Both authors then blindly coded the data into sub-themes and conducted a joint review. Sub-themes and coding assignments were compared with discrepancies discussed, and top-level themes were adjusted accordingly. For certain themes, another round of blind sorting and comparison was required to fully develop sub-themes. The approach to the data was partly deductive, in that top-level themes initially included the seven factors proposed by Marek et al. (2015) that were not necessarily linked to the semantic content of the transcripts. However, the approach was primarily inductive because the development of sub-themes and the final determination of top-level themes was not constrained by that theoretical framework. Instead, it was primarily driven by the semantic data to address the research aims.
Member survey
Descriptives (counts; percentages) were calculated for participant characteristics, meeting attendance, impacts, and ratings of success. Total number of impacts reported was calculated and an association with meetings attended in the past 12 mo was tested with Spearman’s correlation. An alpha value of p < 0.05 was taken as the criterion for significance. Open ended comments about group successes and challenges were provided by 18 respondents (39%), which were categorized as 29 unique comments and coded as themes using the top-level categories from the coordinator interviews.
Social network analysis
The social network survey yielded a list of names (nodes or “actors”), job roles, and group memberships for both survey respondents and those they had communicated with about vineyard pest and disease management. Neighborhood group coordinators provided member lists so that we could label the nodes of non-respondents with group membership when they appeared. In a spreadsheet, duplicate names were merged and assigned a node ID, and a list of node relationships (edges) was created.
This data set was uploaded to Gephi (ver. 0.10) for visualization and calculation of centrality measures. Edges were treated as undirected, as we assumed that pest and disease communication involved an exchange of information between actors. We calculated three network centrality measures to understand actor network importance (Yang et al. 2017). Degree counts the number of connections for each actor and indicates how active they are in the network (i.e., how many other actors they communicate with). Betweenness counts how often each actor falls on the shortest path between other actors. Those with high betweenness act as “bridges” to other parts of the network and are key intermediaries that control the flow of information. Harmonic closeness measures the path distance from an actor to other reachable actors in the network. High closeness indicates an actor is an efficient receiver and transmitter of information.
A cross-sectional analysis was then conducted to compare significant differences in centrality measures between categories of group membership: non-members, single group members, or members of multiple groups. Mean scores were calculated for each group category and tested for statistical significance using post-network permutation analysis (Yang et al. 2017). In this type of analysis, network structure is maintained but the position of the nodes is randomly permuted (shuffled) to create a normal distribution for the null hypothesis–in this case, that there is no difference in a centrality measure between groups. The observed data are then compared against this distribution to generate a p value. We created a script in R (Appendix 3) that calculated the difference between the mean score of two groups and used 10,000 random permutations to create a normal distribution. The script then calculated the number of times values were greater than or equal to the observed difference to yield a p value. We ran this script multiple times to compare each group with another on each centrality measure.
Results
Peer knowledge networking group activities and membership
Four neighborhood groups were focused on the topic of vine mealybug (Planococcus vitis), an invasive pest of widespread concern in California (Daane et al. 2012). One group also discussed other topics (Table 1). Another neighborhood group initially formed around grape mealybug (Pseudococcus maritimus, an insect native to North America and vector of grapevine leafroll-associated virus-3 [Herrbach et al. 2017]) before evolving to cover other pests and diseases that its members considered to be of concern. Two neighborhood groups had a wider focus that included multiple salient threats. Of the two countywide groups, one focused broadly on viticultural challenges, and the other primarily addressed pest and disease management. An email listserv-based discussion was the primary activity of the broadly-focused countywide group. All other groups conduct face-to-face meetings multiple times per year to share information and experiences and to connect members. Three groups had organized group projects where quantitative data were collected and collated.
Countywide groups had a membership of 154 to over 200 (Table 1). The neighborhood groups were smaller; of the total membership of 12 to 70 individuals that received email updates or attended meetings irregularly, there were eight to 25 core members that regularly attended meetings. Respondents of the group member surveys worked in vineyards and/or wineries (63%), vineyard management companies (28%), or as consultants (7%). Viticulturists (35%) composed the largest job grouping. Other key decision-making roles were directors (13%), vineyard managers (7%), winemakers (7%), owners (4%), and outside advisers (6%; consultants, pest control advisers). Some respondents did not report job role (28%). Respondents were mostly active group members and had attended one to six group meetings in the year (mean = 2.84; standard deviation = 1.6). Four respondents had not attended any meetings.
Positive impacts of peer knowledge networking groups
The thematic analysis of coordinator interviews identified five top-level themes and 34 sub-themes. Eight sub-themes within Theme 1 detail the perceived positive impacts of the knowledge-sharing groups (Table 2). Three of these sub-themes are related to social network concepts. Coordinators noted that their groups were important venues to share knowledge and data. The type of information shared included anecdotal observations of disease risk, geographic distribution of disease and vectors, and numerical data such as insect trap counts. Group members shared knowledge of farming practices, including insights on efficacy, usefulness, and implementation. The groups allowed members to establish social connections by exchanging contact details and establishing relationships. Though this did not necessarily result in collective action within the group, it made it possible to reach out when opportunities for future collaborations arose, and for members to act as knowledge resources for one another. Simultaneously, the groups reduced neighborhood conflict by facilitating social contact and constructive conversations. For example, conflicts previously addressed through intervention of regulatory authorities were now raised and resolved through open communication between group members.
Theme 1: perceived impacts of neighborhood groups. LAMP, loop-mediated isothermal amplification; TCAH, three-cornered alfalfa hopper.
Three sub-themes emerged that relate to practical outcomes of group activities, including the perception that group activities increased adoption of practices because of group discussion, suggestions, and data collection projects. This resulted in a reduction in disease pressure and vector populations, an outcome reported by coordinators of the longer-running groups or by those where data collection projects quantified the reduction. In addition to providing actionable data for group members, group projects allowed coordinators to share these impacts within and beyond the group. Certain groups applied selective and collective pressure for regulatory change, including addressing an inconsistency from an organic certification agency and securing a pesticide use exemption.
The final two sub-themes are forward-looking. The groups were viewed as creating resilience to future challenges. The network of group relationships provided strong local foundations to respond to future threats, even if participation varied over time and the initial formative threats had subsided. Lastly, the groups were perceived to inspire new groups and future collaborations, as several coordinators described the genesis of their groups as deriving from the successful examples set by other peer knowledge networking groups.
The results of the member surveys reinforced the coordinators’ comments and provided insights into how members use information and participate in the groups (Figure 1 and Appendix 4). Overwhelmingly, members viewed their groups as successful. Thirty-one respondents (67%) thought their group had “some success” or had been “very successful”. None of the respondents thought their group had been “unsuccessful”, and only two respondents (4%) thought there was “little success” in achieving current goals and objectives. Eleven (24%) did not know and two (4%) did not answer. Most respondents (87%) reported that they had networked—described as establishing contact or a relationship—with other members and neighbors through membership in the group (Figure 1). Group membership led to collaborations with neighbors through activities such as sharing staff expertise (63%), data (61%), and/or by coordinating straightforward practices such as pesticide applications or mating disruption (52%). Complex or costly activities were less frequently reported. Fewer than half of respondents participated in a group project (41%), coordinated complex or high-cost practices (26%), or shared material or financial resources (11%). Groups influenced adoption of new practices and technology, with 57% reporting their companies adopted these after learning about them in the group. Total number of impacts reported was correlated with the number of meetings attended in the past 12 mo (r = 0.32; p = 0.035), indicating that greater engagement with the group was associated with greater impact. The 10 comments shared by respondents (Appendix 4) reinforced several of the impacts described previously, with one viticulturist adding that membership in the group supported their career growth.
Impact on respondents (n = 45) as a consequence of membership in a peer knowledge networking group, with examples given for impacts. One survey respondent did not answer the question.
Group challenges and strategies for promoting success
The challenges faced by the groups and their leaders, with strategies to address those challenges, are summarized in Themes 2 to 5 (Tables 3 and 4), along with example quotes (Appendix 5). The member survey generated a further 19 comments describing challenges and suggestions for improvement (Table 5).
Themes 2, 3, and 4: challenges of recruitment, membership, and leadership, and strategies to address them.
Theme 5: challenges of group organization and processes, and strategies to address them.
Group member survey comments on group challenges and suggested improvements.
Recruiting members to form a group was an early challenge faced by coordinators. To address this, they targeted key individuals who could be identified with the help of public resources; direct communication was used to persuade them to join. When developing recruitment strategies, group leaders considered existing relationships between potential members and why members may find participation difficult. Group members noted the difficulties inherent to convincing all neighbors in an identified area to participate. Regular communication by the coordinator was essential to sustaining membership and participation.
Deciding who to target for recruitment and whether to allow or exclude members in certain occupations was a challenge for some coordinators. It was noted that groups should be inclusive of farming styles and open to varied approaches. Given the groups’ purpose, those in grape production positions were generally prioritized for membership. However, involvement of other key decision-makers within the winegrape industry was beneficial. Individuals in adjacent organizations (e.g., university extension) were sometimes leveraged to support group activities. Being strategic about membership decisions avoided issues with topic drift and kept the group relevant for its members. Group members commented that in the presence of representatives from outside commercial entities (e.g., companies selling technology or chemicals), they could not openly share information, distracting from the stated purpose of the group.
Leadership was another theme that emerged from the coordinator interviews; a committed coordinator is critical to group success. Leadership activities included group communication, arranging and facilitating meetings, recruiting and retaining members, and coordinating group projects. Limited time was a key challenge for coordinators, who are unpaid volunteers spending up to 21 hr annually leading the group, with more time required if group projects are conducted. All coordinators were self-selected or nominated, and members were concerned that groups would disband without their coordinators. To address time burdens of leadership and ensure the succession of coordinators, several groups employ dual coordinators.
Four third-level sub-themes were coded within the group organization and process theme. At the outset, the groups needed to determine their purpose. Most groups had informal aims that were verbally agreed or implicitly assumed; other coordinators initially recorded some aims. In some instances, the purpose was very specific, whereas other groups were more broadly focused on sharing information. Uniting over a shared threat or building on existing farming practices were common reasons for groups to come together. To increase commitment and trust within the group, coordinators engaged members to jointly design the group purpose. Commitment to and understanding of the purpose was further enhanced by regularly and clearly articulating it to current and incoming members. The need for well-defined aims and objectives was emphasized by group members, who valued clear goals to justify their investment in group activities.
With the purpose of the group identified, meeting logistics and process needed to be determined. Regular meetings at appropriate times and consistent communication from the coordinator encouraged participation. Several members noted the scheduling challenges inherent to these groups. Most groups held informal meetings where members shared information. Several groups experimented with hosting technical guests or demonstrating practices and technology. Creating a safe conversational space was critical for allowing members to share information. Coordinators must strike a balance between informality that creates an open forum, and a basic structure to keep the discussion on-topic and relevant. Coordinators with strong facilitation and communication skills can guide discussion, promote transparent conversation, and manage conflict if it arises. Comments from group members indicated their desire for improved facilitation of meetings.
Three groups currently, or previously, conducted joint data collection projects such as insect population monitoring with pheromone-baited traps (MacDonald et al. 2021). Project success relied on the commitment of volunteers. Sustaining participation in a project can be difficult and a small number of people must be prepared to do much of the work. To sustain participation, groups set achievable goals and a reasonable timeline, made it easy to contribute to the project, protected the anonymity of data outside of the group, and communicated regularly about the project objectives. Successful projects often involved collaborations with adjacent organizations with complementary goals, such as extension professionals who provided technical assistance and resources. We did not code a ‘resources’ theme (Marek et al. 2015) because in general these groups do not demand a major investment of resources aside from the coordinators’ and members’ time and a meeting space easily supplied by a group member. However, materials and personnel skills were necessary to ensure success for the groups that conducted projects. In one case, a company ran their project at significant financial cost because they felt the return from collective action was worth their investment.
Social network analysis
We identified 249 network actors communicating about vineyard pest and disease centered on Napa County (Figure 2). Most (77%) of the actors in the Napa-centered pest and disease communication network were those working in vineyard teams involved in pest and disease management decisions (Table 6). Their primary job roles included vineyard managers, viticulturists, winemakers, owners, directors, company executives, and viticulture technicians. Other actors (18%) were key advisers for these decision-making teams, participating as consultants and pest control advisers, sales representatives, extension professionals, and university research scientists. The extension professionals included academics (advisors or specialists) affiliated with the University of California (UC) or Washington State University, as well as professional staff based in Napa County. Forty-five actors (18%) were identified as peer knowledge networking group members, with 31 (12%) belonging to one group and 14 (6%) belonging to more than one group. Viticulturists and vineyard managers comprised 42% of members belonging to a single group, with the remainder in diverse job roles. Members of multiple groups were predominantly (64%) viticulturists, with the remaining 36% composed of vineyard managers, winemakers, and a director.
Napa County-centered pest and disease knowledge network (n = 249) for the exchange of vineyard pest and disease information. Extension professionals were based in Northern California (Napa, Sonoma, and San Joaquin Counties) and Washington. One staff extension professional also works as a viticulture consultant. They are indicated as a staff extension professional but are included as a member of a single peer group for the permutation test calculations. UCCE, University of California Cooperative Extension.
Social network composition statistics.
The network structure suggests a hub of highly interconnected individuals surrounded by clusters of actors that tend to represent company teams and clients of consultants or vineyard management companies (Figure 2 and Table 7). Five different clusters of actors were isolated from the main network with no lines of communication reported. Members of one peer knowledge networking group were spread throughout the network, but members of multiple groups were all close to the central hub, as were the UC advisor and four professional extension staff based in Napa County. Extension professionals had the highest mean degree scores (11), followed by viticulturists and viticulture consultants (5.3 to 3.6), indicating that actors in these job roles communicated with the greatest number of people about pest and disease management. Decision-makers in other job roles communicated on average with fewer actors (≤2.7). The betweenness scores closely mirrored the degree scores, indicating that extension professionals, viticulturists, and viticultural consultants are key intermediaries for the flow of pest and disease information. The closeness scores were similar across most job roles (0.26 to 0.37), although it is notable that sales representatives were numerically (0.45) more efficient transmitters of pest and disease information than others.
Social network centrality statistics. SD, standard deviation.
On average, members of multiple groups had significantly higher degree and betweenness scores than members of one group, and both had higher scores than non-members (ps < 0.05) (Table 4). This indicated that group members, especially those who are members of multiple groups, communicate with significantly more network actors and are more important intermediaries for exchange of pest and disease information than non-members. There was a trend for members of multiple groups to score higher on closeness than those of one group, and both had higher scores than non-members. This indicates that group members are more efficient transmitters of information. However, these differences were statistically significant only when non-members were compared to members of multiple groups (p = 0.01).
Discussion
Social networks accelerate innovation diffusion and behavior change in many contexts. Agricultural extension professionals can use “network-smart” strategies to extend information and broaden impacts (Hoffman et al. 2015, Yang et al. 2017, Hunter et al. 2019). Similarly, sustainability certification programs empower grower networks and catalyze peer-to-peer learning to influence adoption of best management practices (Babin et al. 2022), while rural cooperatives or producer groups encourage action through conformity with social norms (Abdollahzadeh et al. 2016).
The peer knowledge networking groups documented in this study leverage relationships between agricultural producers in defined geographic areas to share data, experiences, and knowledge. Their primary activity is informal discussion; while on the surface this may appear to be simple, the social connections forged in the groups are impactful for individuals and the region. Group members established new contacts and adopted practices that they learned about in their groups. The groups facilitated resource-sharing and coordinated practice implementation among neighbors. These collaborations often took place outside of the group but originated in relationships that the group facilitated, demonstrating an impact that extends beyond each group’s direct activities.
Members of peer knowledge networking groups fulfill a central role in the Napa-centered vineyard pest and disease communication network. The process of bringing group members together alters the network by creating new connections, reconfigures the existing network by convening combinations of decision-makers who might not meet otherwise, and stimulates peer-to-peer interaction by facilitating discussion (Valente 2012). Without these connections, the network would be more fragmented, less efficient, and provide fewer collaborative opportunities for decision-makers. Members of networking groups communicate with more people than non-members, and many are ‘bridging individuals’ within the network who are in contact with diverse groups of decision-makers. Because bridging individuals are more amenable to change, they can be effective at promoting action that may be controversial or initially hard for decision-makers to accept (Valente 2012, Zhang et al. 2020).
The peer knowledge networking groups in this study were founded and are facilitated by their members, independent of local extension professionals, who often participate in meetings but do not lead them. As both peer knowledge networking group members and extension professionals have high network centrality, by aligning themselves they can improve the network position of each other in a synergistic fashion. We argue that the high network importance of Napa-based extension professionals and group members (Figure 2) is in part because they frequently interacted and collaborated with each other. This is supported by examples provided from the qualitative themes of membership, conducting group projects, as well as our personal experience of interacting with many of the groups in the sample.
Extension professionals engage networking groups in joint projects (MacDonald et al. 2021) and leverage group discussions and relationships to accelerate knowledge diffusion. This can be viewed as an individual network intervention (Valente 2012) that targets outreach efforts on actors who are most likely to act as “opinion leaders” and champion ideas and technologies. Because such individuals score high on centrality metrics, they are optimally placed in the network to disseminate information widely and conduct the peer-to-peer communication that effectively promotes adoption (Rogers 2003, Feder and Savastano 2006, Oueslati et al. 2024). Members of peer knowledge networking groups are clearly candidates for this strategy and can act as force multipliers for outreach professionals. The central role of group members transcended job role, suggesting that group participation and ongoing engagement with the group was a more important determinant of influence. Network interventions aimed at individuals can be effective when the purpose is to promote an idea that is readily accepted or already established (Valente 2012). Thus, for some farming practices an outreach program may be able to successfully increase uptake by targeting outreach to members of peer knowledge networking groups. However, for more challenging practices such as those involving collective action to control regional spread of disease and vectors, relying on targeting individuals may be insufficient (Garcia-Figuera et al. 2024).
Peer knowledge networking groups contribute to creating the supportive network structure that is essential for improving disease responses. However, a network level analysis cannot elucidate the quality of interactions between decision-makers: groups which clearly have their own challenges. Some neighbors within the area may be reluctant to participate or may need to be convinced that the activities are worthwhile and the aims achievable. Participants and their supervisors need to be convinced that the group is a valuable use of their time, and those with greater decision-making power (e.g., owners, executives) infrequently participate. Establishing and motivating a group requires concerted effort on the part of the coordinator to recruit and retain members. Groups usually disband, temporarily or permanently, when coordinators do not have the time to lead them. Coordinators must organize and facilitate activities in a way that balances the structure needed to promote desirable outcomes with the informality needed to create a safe space for sharing knowledge and data. Therefore, collaboration and communication skills underpin group success. Such skills include jointly designing aims with members, clearly articulating those aims, maintaining regular communication with members, and addressing barriers to participation.
The cross-sectional nature of our social network analysis means we cannot gauge the extent to which the groups we studied created a more closely-knit network, versus simply attracting more influential central actors. Similarly, it appears that the more that decision-makers engage with a group, the greater the impact–but this could also reflect the personal inclinations of individuals. We conclude that both occur. These groups would be expected to attract archetypal cooperators (Lowder et al. 2024b) and group success is more likely where the coordinators have good networking skills. Nevertheless, the member survey demonstrated that an increase in network connections, knowledge dissemination, and collaboration was an outcome of group activities; this increase was otherwise unlikely to have occurred. It appears likely that groups provide an opportunity, and can be successful, at encouraging participation from decision-makers that may be less naturally inclined to collaborate. Thus, these groups can be a good tool for natural cooperators to win over peers that are more resistant to spending resources on collective action.
Another limitation is that our data describes a single regional network. This complicates our ability to assess how generalizable these findings may be for other regions, and whether peer knowledge networking groups may have similar influence elsewhere. The authors are aware of two additional groups that were established elsewhere in California but have since disbanded–in one case, after a short time in existence. As members of those groups could not be recruited for this study, we cannot explain why they disbanded. Producers in other regions have expressed skepticism about organizing peer knowledge networking groups in their areas (Hobbs et al. 2023). In their view, the success of these groups in Napa is due to the unique County geography and patchwork of vineyards operated by many companies. In contrast, their perception is that their areas are unfavorable because of the layout of vineyards, geographic barriers, and the composition of actors. These may be legitimate criticisms or related to partly attitudinal; in the case of the latter possibility, this study contributes data that may help convince reluctant producers of the potential value of peer knowledge networking groups. Future research may seek to understand where these groups are appropriate and how to modify their structure to meet local needs.
Conclusion
Peer knowledge networking groups are an effective tool to promote an evidence-based response to vineyard pests and diseases. These groups address multiple underlying challenges that may hinder the adoption of disease management practices. They improve dissemination of essential knowledge required for high-quality decision-making, address difficult social-behavioral challenges associated with regional cooperation, and empower local communities with resilience against future threats. Extension professionals and other industry educators who engage with and promote these groups can expand and multiply their outreach and educational efforts and in turn, the groups benefit extension professionals through collaboration on participatory projects. Coordinating a peer knowledge networking group presents rewards and difficulties. This study provides fundamental information to motivate leaders and participants to overcome challenges and leverage groups to their fullest potential to enact individual and collective responses to pests and diseases.
CRediT Authorship Contributions
MH: Data Curation, Visualization; MH and HFH: Formal Analysis; MH and MC: Conceptualization, Funding Acquisition, Investigation, Methodology, Project Administration, Writing – Original Draft, Writing – Review & Editing; MC: Supervision
Supplemental Data
The following supplemental materials are available for this article in the Supplemental tab above:
Appendix 1 Protocol for interviewer (opening and potential follow-up questions).
Appendix 2 Peer knowledge networking group member survey questions.
Appendix 3 R script for permutation test with degree as an example.
Appendix 4 Group member comments on group successes.
Appendix 5 Themes 2 to 6: sub-themes and example quotes related to group challenges and strategies to address them.
Data Availability
Some data underlying this study cannot be shared publicly. However, the remaining data are available on request from the corresponding author.
Footnotes
Survey and interview protocols were declared exempt by the University of California ethics committee (IRB 2216911-1). Funding for this project was provided by the American Vineyard Foundation (#2023-2746 and #2024-2476). We thank Selena M. Vengco for adapting the R script for the permutation analysis, and the peer networking group coordinators and members for their participation. Artificial intelligence was not used in this study.
Hobbs MB, Fendell-Hummel HG and Cooper ML. 2026. Peer knowledge networking groups facilitate social connections, information sharing, and collective action. Am J Enol Vitic 77:0770013. DOI: 10.5344/ajev.2026.25056
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- Received December 2025.
- Accepted March 2026.
- Published online June 2026
This is an open access article distributed under the CC BY 4.0 license.








