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This study examined the impact of extensive and intensive farming systems on the rheological behavior of rennet-induced goat milk coagulation in the indigenous Greek Skopelos goat breed. Milk samples were obtained from Skopelos dairy goats reared under extensive and intensive farming systems at two farms in Greece. Rennet-induced coagulation kinetics (at 35 °C) and curd rheological properties were assessed using dynamic rheometry. Milk from the extensive system exhibited longer rennet coagulation time (RCT) but resulted in curds with higher storage modulus (G') and complex viscosity (η*), indicating formation of stronger coagulated structures compared to curds from the intensive system. The differences can be attributed to variations in milk composition and the structural characteristics of protein components, e.g., casein fractions, between the two systems. Principal component analysis (PCA) revealed that the farming systems could be differentiated based on the rheological properties of the curds, specifically on structure-related parameters (loss tangent, tanδ, apparent yield stress, τ). Strong correlations ( < 0.01) were noted between G'max and caseins/total proteins (positive), as well as with pH (negative), in both farming systems. These findings offer valuable insights into animal farming practices and cheese production, providing evidence of the relationships between goat-rearing systems and rheological properties of rennet-coagulated milk products.
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http://dx.doi.org/10.3390/foods14081316 | DOI Listing |
Infection
September 2025
Research Unit for Environment, Work and Health, Department of Public Health, Aarhus University, Bartholins Allé 2, Building 1260, Aarhus C, DK-8000, Denmark.
Background: Livestock-MRSA (methicillin-resistant Staphylococcus aureus) can cause infections in persons without known contact to livestock, but the route of transmission is unclear. We investigated whether the risk of livestock-MRSA infection among persons with no known contact to livestock is associated with the number of pig farms near the home, and whether this association is affected by the upwind/downwind location of the farms.
Methods: Register-based case-control study of 518 persons from Denmark with clinical infections with livestock-MRSA in 2016-2021 and no known exposure to livestock, and 4,944 matched controls.
Parasitol Res
September 2025
Laboratório de Parasitologia, Instituto Biomédico, Universidade Federal Fluminense (UFF), Bloco E, 5º Andar, 510-525,Outeiro São João Batista S/N, Niterói, Rio de Janeiro, 24020-141, Brazil.
Brazil is a major pig-producing country with production systems that include both industrial and family farms. In these facilities, parasitic diseases present an obstacle to production. This study aimed to estimate the prevalence and risk factors of the gastrointestinal parasites that infect pigs as well as to provide information for producers through extension activities.
View Article and Find Full Text PDFBull Environ Contam Toxicol
September 2025
Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China.
Cadmium (Cd) pollution in rice agroecosystems has become a pressing worldwide environmental challenge. Straw return leads to Cd re-entering the soil, yet the impact of straw removal (SR) on Cd mobility and bioavailability within this system remains unclear. We implemented a four-season field study to evaluate how different SR intensities (NSR: no rice straw was removed; HSR: half of the rice straw was removed; TSR: all the rice straw was removed) influence Cd availability in this system.
View Article and Find Full Text PDFEnviron Sci Technol
September 2025
Solar Energy Research Centre (CIESOL), Joint Centre of the University of Almería-CIEMAT, Carretera de Sacramento s/n, Almería 04120, Spain.
This work aims to investigate the occurrence of 31 antibiotics (ABs), 2 bacteria ( and spp.) and their counterpart antibiotic-resistant bacteria (carbapenem and cephalosporin families), and several antibiotic-resistant genes (ARGs) throughout a full distribution system of reclaimed water (RW) in a real-scale scenario. The RW was analyzed (i) before and after the tertiary treatment (sand filtration and chlorination), (ii) during the storage period in secondary ponds before its use in irrigation, and (iii) directly in the droppers installed in four plastic-based greenhouses over 9 months.
View Article and Find Full Text PDFJ Food Sci
September 2025
Department of Food Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, UKM, Bangi, Selangor Darul Ehsan, Malaysia.
Advanced intelligent systems are becoming a significant trend, especially in the classification of tropical fruits due to their unique flavor and taste. As one of the most popular tropical fruits worldwide, pineapple (Ananas comosus) has a great chemical composition and is high in nutritional value. A non-destructive method for the determination of pineapple varieties was developed, which utilized thermal imaging and deep learning techniques.
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