Toward Agricultural Intersectionality? Farm Intergenerational Transfer at the Fringe. A Comparative Analysis of the Urban-Influenced Ontario's Greenbelt, Canada and Toulouse InterSCoT, France

Peri-urban agriculture can foster the resilience of metropolitan areas through the provision of local food and other multifunctional agricultural amenities and externalities. However, in peri-urban areas, farming is characterized by strong social uncertainties, which slow the intergenerational transfer of farm operations. In this article, we tackle the beliefs that underlie farmers' decision-making to identify planning opportunities that may support farm intergenerational transfers. The design of an institutionalist conceptual framework based on Keynesian uncertainty and Commonsian Futurity aims to analyze farmers' beliefs associated with farm intergenerational transfer dynamics. The dataset of this comparative analysis includes 41 interviews with farmers involved in animal, cash-crop, and horticulture farming in the urban-influenced Ontario's Greenbelt, Canada, and Toulouse InterSCoT, France, during which farmers designed a mental model of their investment decision-making. The results highlight the dominance of a capital-intensive farm model framed by a money-land-market nexus that slows farm structural change. The subsequent access inequalities, which are based on characteristics of farmers and their farm projects, support the idea of the existence of an agricultural intersectionality. The results also highlight the positive role of the institutional context; when farmers' beliefs are well-aligned with the beliefs that shape their institutional environment, the frictions that slow farm structural change in peri-urban areas are moderated by a shared vision of the future.

Demographic, Husbandry, and Biosecurity Factors Associated with the Presence of Campylobacter spp. in Small Poultry Flocks in Ontario, Canada

This study is part of a 2 year disease surveillance project conducted to establish the prevalence of poultry and zoonotic pathogens, including Campylobacter spp., among small poultry flocks in Ontario, Canada. For each post-mortem submission to the Animal Health Laboratory, a pooled sample of cecal tissue was cultured for Campylobacter spp., and a husbandry and biosecurity questionnaire was completed by the flock owner (n = 153). Using both laboratory and questionnaire data, our objective was to investigate demographic, husbandry, and biosecurity factors associated with the presence of Campylobacter spp. in small flocks. Two multivariable logistic regression models were built. In the farm model, the odds of Campylobacter spp. were higher in turkeys, and when birds were housed in a mixed group with different species and/or types of birds. The odds were lower when antibiotics were used within the last 12 months, and when birds had at least some free-range access. The effect of pest control depended on the number of birds at risk. In the coop model, the odds of Campylobacter spp. were lower when owners wore dedicated clothing when entering the coop. These results can be used to limit the transmission of Campylobacter spp. from small poultry flocks to humans.

Bioeconomic Modelling to Assess the Impacts of Using Native Shrubs on the Marginal Portions of the Sheep and Beef Hill Country Farms in New Zealand

New Zealand hill country sheep and beef farms contain land of various slope classes. The steepest slopes have the lowest pasture productivity and livestock carrying capacity and are the most vulnerable to soil mass movements. A potential management option for these areas of a farm is the planting of native shrubs which are browsable and provide erosion control, biodiversity, and a source of carbon credits. A bioeconomic whole farm model was developed by adding a native shrub sub-model to an existing hill country sheep and beef enterprise model to assess the impacts on feed supply, flock dynamics, and farm economics of converting 10% (56.4 hectares) of the entire farm, focusing on the steep slope areas, to native shrubs over a 50-year period. Two native shrub planting rates of 10% and 20% per year of the allocated area were compared to the status quo of no (0%) native shrub plantings. Mean annual feed supply dropped by 6.6% and 7.1% causing a reduction in flock size by 10.9% and 11.6% for the 10% and 20% planting rates, respectively, relative to 0% native shrub over the 50 years. Native shrub expenses exceeded carbon income for both planting rates and, together with reduced income from sheep flock, resulted in lower mean annual discounted total sheep enterprise cash operating surplus for the 10% (New Zealand Dollar (NZD) 20,522) and 20% (NZD 19,532) planting scenarios compared to 0% native shrubs (NZD 22,270). All planting scenarios had positive Net Present Value (NPV) and was highest for the 0% native shrubs compared to planting rates. Break-even carbon price was higher than the modelled carbon price (NZD 32/ New Zealand Emission Unit (NZU)) for both planting rates. Combined, this data indicates planting native shrubs on 10% of the farm at the modelled planting rates and carbon price would result in a reduction in farm sheep enterprise income. It can be concluded from the study that a higher carbon price above the break-even can make native shrubs attractive in the farming system.

169 Estimating the Environmental Impact of Livestock Operations Using the Canadian Whole-farm Model Holos Developed for Canadian Farmers

The Holos model is a Canadian whole-farm model that uses IPCC Tier II emission factors to calculate greenhouse gas (GHG) emissions from Canadian farming systems. These Tier II emission factors are Canada-specific with respect to land-based nitrous oxide emission, but are universal with respect to the livestock calculation. Here, however, Tier II is limited to ruminant animals, as so far only Tier I models are available for monogastrics. The model is designed to permit farmers to enter readily available farm management information themselves in order to calculate GHG sources and management driven mitigation practices. The presentation will provide an overview of the model and its design (interface and algorithms), and will showcase some of the scientific studies (cradle-to-farmgate) that were accomplished using the Holos model for assessing the carbon footprint of Canadian beef and dairy production systems.

147 Use of Productivity Enhancing Technologies in Beef Steers Reduces Greenhouse Gas Emission Intensity

In the last decade, the cattle industry has witnessed increased demand from domestic and international markets for hormone and antibiotic free beef. However, the environmental consequences of switching from conventional production to “natural” beef have not been extensively examined. This study explored greenhouse gas (GHG) emissions estimated using a whole-farm model, Holos (www.agr.gc.ca/holos-ghg) with model inputs from a 2-year replicated study in which calves were managed from weaning to finishing with 6 treatments based on body weight and feeding strategy. Treatments included Heavy (H), which were directly finished, Medium (M), which were backgrounded prior to finishing, and Light (L), which were backgrounded and then grazed during the summer before being placed on a finishing diet. Each treatment was subdivided into two management practices: Conventional (CON) in which productivity enhancing technologies (PETs) were used (ionophores, steroid implants and beta-adrenergic agonists) and Natural (NAT) in which PETs were removed. Emission intensity (kg CO2e kg-1 boneless beef) of HNAT was 17.3 to 20.1% higher than HCON, MNAT was 20.3 to 20.5% higher than MCON and LNAT were 11.5–12.6% higher than LCON treatment. Conventional treatments, using PET’s, reduced GHG emissions, however grazing should be considered for its potential to store and promote carbon sequestration in perennial grasslands.

PMSM Wind Farm Aggregation Algorithm Based on Power Equivalence Principle

With the continuing increase of offshore wind farm power scale, it is urgent to propose a simplified wind farm model, which aggregates the entire wind farm into single or several aggregated wind turbine generators (WTGs), aiming to save computing resources and improve simulation speed. A novel aggregation algorithm that considers the power loss of offshore submarine cable is proposed, which is different from the traditional wind farm modeling method that adopts amplifying transformer as aggregation medium. Moreover, multi machine aggregation (MMA) algorithm is furtherly proposed to improve the aggregation accuracy. Simulation results verify that the proposed aggregation method can present the dynamic characteristics of wind farm with high accuracy, and can be popularized for other types of wind farm.

Science and Agribusiness in the History of Pig Factory Farming in Ontario

The article explores some of the connections between science and agribusiness in the history of pig factory farming in Ontario, Canada, between the 1950s and the present. The factory farm model of pig production submits animals to a very artificial way of life, which would not be possible without the inputs of scientific and technological innovations of the 20th century. Topics discussed include the use of antibiotics, swine nutrition, feed conversion (in)efficiency, and pork promotion and consumption. The primary sources utilized are a trade magazine, a census of agriculture, and other government and industry publications. The article sheds light on how notions such as “progress”, “improvement”, “modern” or “efficiency”, frequently used by scientists when referring to results of pig production, are restricted to narrow or internal considerations of the industry that, in turn, can be challenged by broader analysis of aspects (social, economic, environmental) of the food system. Scientists have not just produced scientific knowledge but in some cases have also promoted ideologies about animals and the food system. These ideologies of “progress”, “improvement”, “modern” or “efficiency”, as in the context of pig production in Ontario, only make sense if we understand the particular historical moment in the analysis, which since the 1950s has markedly been one of strong agribusiness interventionism.

CAP post 2022 scenarios and income impacts – a case analysis for selected typical farms in Slovenia

Assessment based on representative farms is an established approach in the modern assessment of the effects of changes in agricultural policy. In line with previous CAP reforms, we can expect income redistribution impacts also with the implementation of the legislative and financial framework of the CAP for the next period. This paper discusses a scenario analysis using the farm model. The model is based on linear programming, which enables to address various technological challenges at farm level. We formed the scenarios for the analysis following the example of the scenarios contained in the impact assessment that the European Commission prepared for the CAP after 2020. The analysis involves selected farm types from selected sectors. The results suggest that the expected reduction in the envelope will generally lead to lower farm-level revenues from CAP direct payments. Consequently, economic performance will deteriorate, what is likely to be amplified in some sectors by the abolition of historical payments. The range of consequences at farm level will likely be considerable, especially for sectors and production types with a high share of CAP payments in the structure of total farm income. In certain sectors, however, there is even an improvement regarding the current situation.