Pinkeye (infectious bovine keratoconjunctivitis, IBK) is an important disease of cattle worldwide. It has a substantial negative impact on farm productivity and is a major cost burden, but specific data on losses are lacking. This study was conducted to understand farmers' perceptions of the impact of pinkeye on farm productivity and animal welfare, and factors influencing the money farmers estimated spending on pinkeye in 2018. Data were collected by the first Australia-wide online survey on pinkeye. There were 1035 suitable responses analysed for impact on farm productivity. From these 82% of respondents represented farms in southern Australia, 58% reported cattle breeding as their main enterprise, and 89% bred animals on farm. Farmers were more likely to rank the impact of pinkeye on farm productivity as high if they had younger cattle, treated cattle with pinkeye more frequently, and as their herd size increased. Fewer farmers chose pinkeye as an animal welfare concern than as an economic and farm management issue, but overall animal welfare was rated by the greatest number of farmers as a high severity concern (n = 691), followed by decreased sale value and farm profits (n = 561). This suggests a shift in the equipoise between the economics of food animal production and animal welfare expectations. The median amount reportedly spent on pinkeye in 2018 by Australian farmers (n = 779) was $250.00 per farm. Farmers reported spending more money on pinkeye as herd size and number of cattle affected by pinkeye increased, their perception of pinkeye impact on farm productivity and animal welfare increased, if they treated pinkeye more frequently, reported higher fly worry, if their herds contained Angus cattle, if they bred on farm, and if they were located in southern Australian regions. Study findings should be used to better understand pinkeye, target expenditure, and improve outcomes for cattle and farmers.
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http://dx.doi.org/10.1016/j.prevetmed.2022.105665 | DOI Listing |
Data Brief
February 2025
Department of Agricultural Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Latokartanonkaari 5, 00014, Finland.
High Nature Value (HNV) farming systems occur in areas where the major land use is agriculture and are characterized by their significance in promoting biodiversity and ecosystem services due to their extensive land use. Despite their importance for ecological and socio-economic resilience of rural regions, these systems are often overlooked in Life Cycle Assessment (LCA) studies due to challenges in data compilation, especially from small local farms and because of the diversity of production. To address this gap, we established an international collaborative network across Europe, involving professionals directly engaged with farmers, farmer associations, and researchers to collect data on HNV farms employing a developed questionnaire examining inputs and outputs, farm structures, and herd characteristics.
View Article and Find Full Text PDFGlob Chall
January 2025
Soil Science-Department of Agronomy Iowa State University 716 Farm House Ln, 1025 Ames IA 50011 USA.
Sub-Saharan Africa's adoption of inorganic fertilizer lags behind other developing nations, creating limitations for small-holder cocoa producers. Using the Diffusion of Innovations (DOI) Theory, articles assessing inorganic fertilizer (non)adoption by cocoa producers in Sub-Saharan Africa are reviewed. Factors influencing adoption fell into two major categories: socioeconomic characteristics of the potential adopter and characteristics of the innovation itself.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Mechanical Engineering, Mohammadia School of Engineering, Avenue Ibn Sina B.P 765, Agdal, Rabat, 10090, Morocco.
Enhanced penstock structural models significantly advance hydropower engineering, yet their increasing complexity introduces challenges. As model interactions intensify, predictability and comprehensibility decrease, complicating the evaluation of model accuracy and alignment with operational performance metrics and safety standards. This issue is particularly pronounced in dynamic modeling, where knowledge gaps hinder straightforward validation via observational data.
View Article and Find Full Text PDFHeliyon
January 2025
Centre for Nature Positive Solutions, School of Science, STEM College, RMIT University, Melbourne, Australia.
Seaweed aquaculture is growing 8.9 % annually to a forecast US$ 22.13 billion in 2024 and has several environmental, economic and social co-benefits.
View Article and Find Full Text PDFJ Environ Qual
January 2025
USDA-ARS, Soil Drainage Research Unit, Columbus, Ohio, USA.
The Eastern Corn Belt (ECB) node of the Long-Term Agroecosystem Research (LTAR) network is representative of row crop agricultural production systems in the poorly drained, humid regions of the US Midwest and a significant focus for addressing water quantity and quality concerns affecting Lake Erie and the Gulf of Mexico. The objectives of this paper were to (1) present relevant background information and collection methodology, (2) provide summary analyses of measured data, and (3) provide details for accessing the dataset and discuss potential database applications. The ECB-water quality (ECB-WQ) database is comprised of hydrology and water quality data from three privately owned farms in Northwest Ohio and Northeast Indiana and is available for download through the United States Department of Agriculture Ag Data Commons.
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