17 pages, Southern Australian farming systems operate predominantly under Mediterranean climatic conditions, which limit the choice of cover crops suitable for enhancement of ground cover and soil moisture retention, erosion control, atmospheric soil nitrogen (N) fixation, and weed suppression between cash crop rotations. Given that the successful establishment of cover crops is climate-driven and also influenced by edaphic factors such as soil pH and salinity, there has been increased interest by southern Australian producers in identifying potential cover crop species well adapted to specific Australian farming systems, which provide vital ecosystem services and sustainable economic benefits through the improvement of soil properties. This review summarises recent findings on cover crop inclusion in diverse farming systems in southern Australia, including continuous and mixed broadacre cropping as well as viticulture and horticulture systems, to identify opportunities and limitations related to their use. Cover crop inclusion in viticulture and pasture systems with lower moisture stress was observed to benefit the subsequent cash crop through enhanced production potential. Long-term, multi-site field experimentation incorporating summer cover crops in winter crop rotations showed that cover crops enhanced ground cover and soil water infiltration in some locations across southern Australia while sometimes increasing winter crop yield, suggesting that soil type and regional climatic conditions greatly influenced the delivery of multiple cover crop benefits. Collectively, these studies have suggested a need for longer-term field evaluations using multiple cover crop species and investigations of termination options under varying environmental and soil conditions to better quantify the legacy effects of cover crops.
Fielke, Simona (author), Taylor, Brucea (author), Coggan, Antheaa (author), Jakku, Emma (author), Davis, Aaron M. (author), Thorburn, Peter J. (author), Webster, Anthony J. (author), and Smart, James C.R. (author)
Format:
Journal Article
Publication Date:
2022-04-01
Published:
Netherlands: Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 206 Document Number: D12813
12pgs, We report on qualitative social research conducted with stakeholders in a local agricultural knowledge and advice network associated with a collaborative water quality monitoring project. These farmers, advisors and researchers allude to existing social dynamics, technological developments, and (more general) social evolution which is analysed against a novel analytical framework. This framework considers notions of power, social capital, and trust as related and dynamic, forming the basis of our contribution to knowledge. We then probe the data to understand perceived impacts of the collaborative project and social interaction associated with this research project, which involved cutting edge automated and frequent water quality monitoring that allowed for near real-time access to data visualisation displayed via a bespoke mobile or web ‘app’ (1622WQ). Our findings indicate that a multi-faceted approach to assessing and intervening based on consideration of multiple social dimensions holds promise in terms of creating conditions that allow for individual and group learning to encourage changes in thinking required to result in improved land management practice.
18pgs, Building a strong and trustworthy communication network to report unusual signs of disease will facilitate Australia’s response to a foot and mouth disease (FMD) outbreak. In a four-year study, the FMD Ready Farmer-led surveillance project adopted the Agricultural Innovation Systems (AIS) framework, modelling transformation of how knowledge is co-created, valued, and communicated. The FMD Ready project has highlighted the need for multiple stakeholders’ voices to be heard, and the importance of regulatory bodies to listen. Relationships take time and need to be valued as a necessary tool in a participatory, innovative approach to animal health and disease management.
8 pages, Cultured meat is a novel food technology that promises to produce meat in a more environmentally friendly and animal-friendly way. We conducted an internet survey in ten countries (Australia, China, England, France, Germany, Mexico, South Africa, Spain, Sweden and the US) with a total sample of 6128 participants. Results suggest that there are large cultural differences regarding the acceptance of cultured meat. French consumers were significantly less accepting of the idea than consumers in all other countries. Perceived naturalness of and disgust evoked by cultured meat were important factors in the acceptance of this novel food technology in all countries. Trust in the food industry, food neophobia and food disgust sensitivity indirectly and directly influenced the acceptance of cultured meat in almost all countries. In order to increase the acceptance of cultured meat, the similarity of cultured meat to traditional meat needs to be emphasized rather than the rather technical production process, which may evoke associations of unnaturalness and disgust.
Manyweathers, Jennifer (author), Hernández-Jover, Marta (author), Hayes, Lynne (author), Loechel, Barton (author), Kelly, Jennifer (author), Felton, Simone (author), El Hassan, Marwan (author), Woodgate, Rob (author), and Maru, Yiheyis (author)
Format:
Journal Article
Publication Date:
2020-06-18
Published:
Italy: Scuola Internazionale Superiore di Studi Avanzati
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 205 Document Number: D12741
8pgs, A transdisciplinary pilot study with Australia's livestock industries is bringing multiple stakeholders together as equal partners, to examine the complex problems around animal disease management. These problems include disease surveillance and on-farm biosecurity practices. The pilot groups are established in industries susceptible to foot and mouth disease, namely dairy and beef cattle, pork, sheep and goats. The Agricultural Innovation Systems framework is being evaluated to determine its effectiveness as a tool to improve partnerships between stakeholders. These stakeholders include livestock producers (farmers), private and government veterinarians, local council representatives, and industry personal including from saleyards and abattoirs. Stimulation of innovative solutions to issues arising from conflicting priorities and limited resources around animal disease management are also expected. Using a participatory communication approach, the impact of the pilot on trust and relationships is being evaluated. The sustainability of the Agricultural Innovation Systems approach to address complex issues around animal health management is also being assessed. The aim of the study is to strengthen Australia's preparedness for an emergency animal disease outbreak, such as Foot and Mouth Disease.
Jakku, Emma (author), Taylor, Bruce (author), Fleming, Aysha (author), Mason, Claire (author), Fielke, Simon (author), Sounness, Chris (author), and Thorburn, Peter (author)
Format:
Journal article
Publication Date:
2019-12
Published:
Netherlands: Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12272
13 pages, Advances in Smart Farming and Big Data applications have the potential to help agricultural industries meet productivity and sustainability challenges. However, these benefits are unlikely to be realised if the social implications of these technological innovations are not adequately considered by those who promote them. Big Data applications are intrinsically socio-technical; their development and deployment are a product of social interactions between people, institutional and regulatory settings, as well as the technology itself. This paper explores the socio-technical factors and conditions that influence the development of Smart Farming and Big Data applications, using a multi-level perspective on transitions combined with social practice theory. We conducted semi-structured interviews with 26 Australian grain farmers and industry stakeholders to elicit their perspectives on benefits and risks of these changes. The analysis shows that issues related to trust are central concerns for many participants. These include procedural concerns about transparency and distributional concerns about who will benefit from access to and use of "farmers' data". These concerns create scepticism about the value of `smart' technologies amongst some industry stakeholders, especially farmers. It also points to a divergence of expectations and norms between actors and institutions at the regime and niche levels in the emerging transition towards Smart Farming. Bridging this divide will require niche level interventions to enhance the agency of farmers and their local networks in these transactions, and, the cooperative design of new institutions at regime level to facilitate the fair and transparent allocation of risk and benefit in farming data information chains.
16pgs, Joint venture (JV) farm structures have the potential to increase the productivity and profitability of traditional family farms. However, such structures are not widely adopted within the farm business community. Furthermore, knowledge on the relative attractiveness of different JV models to farmers is limited. We use a choice experiment to explore what JV structures are preferred by Australian farmers, and how farmers’ socio-demographic and attitudinal characteristics influence the type of JV structure preferred. A latent class analysis revealed significant unobserved preference heterogeneity amongst the population. We identify four latent classes that differ in their preferences regarding the number of JV partners, access to new machinery, and/or the opportunity for additional annual leave. All classes of farmers displayed positive preferences for operational decision-making with other JV partners, although they varied in their preferences towards final operational responsibility. The diversity in preferences shows that there is no ‘one size fits all’ JV design, leaving opportunities for a range of JV decision models. Such flexibility in JV design is likely to have advantages when seeking JV partners, with a significant proportion of the sampled population open to collaborative decision-making models.
17 pages, via online journal, Translator disclaimer
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ABSTRACT
Purpose: To identify and understand factors influencing farmers’ decisions to engage with extension activities. To understand farmer segments and how these factors vary in order to develop recommendations for future extension delivery.
Methodology: Qualitative data was obtained through semi-structured interviews with 30 Tasmanian dairy farmers. The Theory of Planned Behaviour (TPB) framework was used to identify and explore factors influencing farmer engagement intentions and behaviour.
Findings: There was a negative effect of social influence on experienced farmers’ intention to re-engage with extension, due to the belief extension activities were targeted to less experienced, younger farmers. Perceived control factors limiting engagement included lack of confidence about existing knowledge, resulting in farmers perceiving extension activities as confronting.
Practical implications: Key factors influencing intention to engage and continued engagement with extension were identified. These findings will inform future design and targeting of extension activities to improve initial and continued engagement. Subsequent recommendations are presented.
Theoretical implications: Previous TPB studies on adoption as an outcome of extension have typically focused on quantifying adoption predictions, rather than exploring how social factors interact and influence intentions and behaviours. This paper demonstrates how the TPB can be qualitatively applied to better understand farmer decision making, in this instance with respect to their initial and continued engagement with extension.
Originality/value: This paper demonstrates how the TPB can provide an evidence-based framework to qualitatively explore farmer intentions and behaviour. This approach has led to new insights into farmer decision making that will inform improvements in future extension development.
