Farm machinery is an important contributor to the high rates of occupational injury in agriculture. As part of a population-based case-control study, we studied risk factors for machine-related farm injuries. Case patients were farm residents residing in a geographically defined area of central Wisconsin who experienced a farm injury associated with a tractor, farm implement, or other machine which required medical or chiropractic care from May 1990 through April 1992. Controls were selected from an ad hoc census of farm residents in the same area. Telephone interviews regarding demographic characteristics, safety behaviors, and farming practices were completed for 97.8% of 90 case patients and for 82.8% of 221 control subjects. Personal characteristics significantly associated with an increased risk of machine-related injury included the number of hours worked per week and working primarily as a farmer. Dairy farms, farms with nonresident workers, and large farms were associated with an increased risk of injury while farms with registered cows and farms where cows were fed in the barn even in summer experienced fewer injuries. Based on a logistic regression model, the independent risk factors for machine-related farm injury included hours worked per week (2% increased risk/nonresident workers on farm (odds ratio) (OR) = 2.32; 95% confidence interval (CI): 1.07 to 5.06), cows fed in barn in summer (OR = 0.28; 95% CI: 0.12 to 0.64), and registered cows on farm (OR = 0.36; 95% CI: 0.17 to 0.79). Farm safety practices did not appreciably influence the risk of machine-related farm injury.
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http://dx.doi.org/10.1016/1047-2797(95)00056-9 | DOI Listing |
PLoS One
January 2025
School of Hydraulic and Electric Power, Heilongjiang University, Harbin, Heilongjiang, China.
Soil moisture is the core of the hydrological cycle in agroecosystems, and most of the studies on soil moisture dynamics modeling adopt deterministic research methods, which are not well suited to study the hydrological processes in agricultural fields under changing conditions. Therefore, the present study adopts a stochastic approach to reveal the distribution characteristics of soil moisture in agroecosystems under the effects of soil, climate, vegetation, and other influencing factors. Using soil moisture and precipitation data and based on a stochastic model of soil moisture dynamics, the point-scale soil moisture dynamic characteristics and soil moisture probability density function of farmland systems in the Songnen Plain region were investigated.
View Article and Find Full Text PDFMicrob Genom
January 2025
Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Microbial Genome Research, Braunschweig, Germany.
Genomic data on from the African continent are currently lacking, resulting in the region being under-represented in global analyses of infection (CDI) epidemiology. For the first time in Nigeria, we utilized whole-genome sequencing and phylogenetic tools to compare isolates from diarrhoeic human patients (=142), livestock (=38), poultry manure (=5) and dogs (=9) in the same geographic area (Makurdi, north-central Nigeria) and relate them to the global population. In addition, selected isolates were tested for antimicrobial susceptibility (=33) and characterized by PCR ribotyping (=53).
View Article and Find Full Text PDFTrop Anim Health Prod
January 2025
Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243 122, India.
Dry matter intake (DMI) determination is essential for effective management of meat goats, especially in optimizing feed utilization and production efficiency. Unfortunately, farmers often face challenges in accurately predicting DMI which leads to wastage of feed and an increase in the cost of production. This investigation aimed to predict DMI in Black Bengal goats by using body weight (BW), body condition score (BCS), average daily gain (ADG), and metabolic body weight (MBW) by applying an artificial neural network (ANN) model.
View Article and Find Full Text PDFSyst Parasitol
January 2025
ICAR-National Bureau of Agricultural Insect Resources, Post Bag No. 2491, H. A. Farm Post, Bellary Road, Hebbal, Bangalore, Karnataka, 560 024, India.
The Indian species of the genus Canalirogas van Achterberg & Chen, 1996 are revised. Four new species, Canalirogas multinigratus Gupta & van Achterberg sp. nov.
View Article and Find Full Text PDFFunct Integr Genomics
January 2025
Institut de Ciències del Mar, Consejo Superior de Investigaciones Científicas (ICM-CSIC), Barcelona, 08003, Spain.
Fish disease outbreaks caused by bacterial burdens are responsible for decreasing productivity in aquaculture. Unraveling the molecular mechanisms activated in the gonads after infections is pivotal for enhancing husbandry techniques in fish farms, ensuring disease management, and selecting the most resilience phenotype. The present study, with an important commercial species the European sea bass (Dicentrarchus labrax), an important commercial species in Europe, examined changes in the miRNome and transcriptome 48 h after an intraperitoneal infection with Vibrio anguillarum.
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