A method was developed to determine trace concentrations of a range of individual PCB congeners in biological samples (grass, silage, cattle faeces and milk-fat) which were taken from rural or 'background' areas of the UK, in order to prepare a mass balance of PCBs in grazing, lactating cows. A simple milk-fat extraction method was compared to Soxhlet extraction and to whole milk extraction. Results indicated that simply boiling milk-fat in hexane with sodium sulphate present gave a comparable extraction of PCBs to other methods. A clean-up method was devised using acid treated silica gel followed by basic alumina chromatography. Grinding frozen grass or silage with sodium sulphate followed by Soxhlet extraction was found to be the most effective method for these matrices, whilst avoiding the potential contamination/loss of PCBs which can be incurred by air, oven or freeze drying. Soxhlet extraction of cattle faeces, after grinding with sodium sulphate, was found to be effective. A rigorous clean-up was devised which involved passing the extracts through silica gel and acid treated silica gel, followed by size exclusion chromatography (gel permeation chromatography, SEC). 13C12 labelled PCBs were used as recovery standards, quantification was performed using GC-MS. A quality control regime and method validation results are presented. The milk analysis method gave within batch mean recoveries of 69-96%, and within batch standard deviations between 1 and 10%. The vegetation analysis method gave within batch mean recoveries of 91-116%, and within batch standard deviations between 1 and 11%. The batch to batch mean recovery for milk analysis was 90%, with an RSD of 2% for high spikes and 5% for low spikes; for vegetation analysis the batch to batch average recovery was 106%, with an RSD of 14% for high spikes and 11% for low spikes. sigma PCB concentrations (53 congeners) of 3900 +/- 790 pg g-1 milk-fat, 1300 +/- 420 pg g-1 dry matter (DM) cattle faeces, 630 +/- 140 pg g-1 DM silage and 1350 +/- 580 pg g-1 DM grass were found during the study.
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http://dx.doi.org/10.1016/s0045-6535(97)10211-9 | DOI Listing |
J Anim Sci
January 2025
University of Reading, School of Agriculture, Policy and Development, Earley gate, RG6 6EU Reading, United Kingdom.
This study investigated the effects of different protein sources on feed intake, nutrient, and energy utilization, growth performance, and enteric methane (CH4) emissions in growing beef cattle, also evaluated against a pasture-based diet. Thirty-two Holstein × Angus growing beef were allocated to four dietary treatments: a total mixed ration (TMR) including solvent-extracted soybean meal as the main protein source (SB; n = 8), TMR with local brewers' spent grains (BSG; n = 8), TMR with local field beans (BNS; n = 8), and a diet consisting solely of fresh-cut Italian ryegrass (GRA; n = 8). Every four weeks, animals were moved to digestibility stalls within respiration chambers to measure nutrient intakes, energy and nitrogen (N) utilization, and enteric CH4 emissions.
View Article and Find Full Text PDFCurr Microbiol
January 2025
Korean Collection for Type Cultures, Biological Resource Center, Korea Research Institute of Bioscience and Biotechnology, Jeongeup, 56212, Republic of Korea.
A facultative anaerobic, Gram-stain-negative, non-motile, rod-shaped bacterial strain AGMB14963 was isolated from the feces of a dairy cow. A 16S rRNA gene sequence-based phylogenetic analysis revealed that strain AGMB14963 belongs to the genus Gallibacterium, with Gallibacterium salpingitidis F150 being the closest species (95.8% 16S rRNA gene sequence similarity).
View Article and Find Full Text PDFMicrobiome
January 2025
State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Background: The growth and health of young ruminants are regulated by their gut microbiome, which can have lifelong consequences. Compared with subjective grouping, phenotypic clustering might be a more comprehensive approach to revealing the relationship between calf growth state and core gut microbes. However, the identification of beneficial gut bacteria and its internal mechanisms of shaping host phenotype differentiation remains unclear.
View Article and Find Full Text PDFVet Parasitol
January 2025
Clinic for Ruminants with Ambulatory and Herd Health Services, Ludwig-Maximilians-Universität München, Sonnenstrasse 16, 85764 Oberschleißheim, Germany. Electronic address:
The complex life cycle of the rumen fluke Calicophoron daubneyi is similar to that of the liver fluke Fasciola hepatica. Interestingly, C. daubneyi and F.
View Article and Find Full Text PDFAnim Sci J
January 2025
Department of Animal Nutrition and Nutritional Diseases, Faculty of Veterinary Medicine, Ataturk University, Erzurum, Turkiye.
This study aims to evaluate the relationship between mineral digestibility and fecal characteristics and compare digestibility in dry and late-lactating cows. A total of 107 multiparous Holstein and Simmental cows were included, with 66 cows in late lactation and 41 cows in the dry period. The apparent digestibility of key macro minerals, dry matter content in feces, dirtiness scores, fecal characteristics, and serum macro mineral levels were determined.
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