Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
The aim of this study was to evaluate handling and transport variables as potential causes of disturbed behaviour in response to seeing a person on an overhead observation platform during pre-slaughter in batches of females and castrated males composed of pure or crossed Bos Taurus animals (Aberdeen Angus, Red Angus, Hereford and Charolais) with a maximum of 37.5% Bos indicus, and maturity at slaughter varying from zero to eight teeth, coming from pasture and confined systems. For the batches of castrated males, the independent variables included the distance covered on the trip, and the handling and facilities on the farms. For the female batches, the variables were travel time and waiting time prior to unloading. For both sexes, the presence of horns in the batches and the load density were included in the regression equations. Disturbed behaviour, the result of factors related to animal handling and transportation, is detrimental to satisfactory results in production systems. It is up to the managers in the production chain to seek alternatives in order to minimise inappropriate behaviour, which is one determinant of loss. Handling and transport are determining factors in the behaviour of beef cattle during the pre-slaughter period.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s11259-024-10329-9 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Phosphite inhibits by downregulating oxidoreductases and disrupting energy metabolism.
Front Microbiol
August 2025
Hans Merensky Chair in Avocado Research, University of Pretoria, Pretoria, South Africa.
Phytophthora root rot caused by the hemibiotrophic oomycete, is a major biotic hindrance in meeting the ever-increasing demand for avocados. In addition, the pathogen is a global menace to agriculture, horticulture and forestry. Phosphite trunk injections and foliar sprays remain the most effective chemical management strategy used in commercial avocado orchards against the pathogen.
View Article and Find Full Text PDFUsing machine learning to predict anesthetic dose in fish: a case study using nutmeg oil.
Front Vet Sci
August 2025
Faculty of Fisheries, Recep Tayyip Erdogan University, Rize, Türkiye.
Application of anesthetic chemicals in aquaculture is important to minimize stress under normal operations such as handling, transport, and artificial breeding. In the past decade, the preference for natural anesthetics over synthetic ones has increased due to welfare issues regarding fish welfare and food safety. This study investigates the anesthetic efficacy of nutmeg oil () in three freshwater fish species- (Common carp), (Danube sturgeon), and (Rainbow trout)-by modeling behavioral (Induction and recovery times) and hematological responses using artificial neural networks (ANNs).
View Article and Find Full Text PDFMicroRNAs signatures in small extracellular vesicles for psychological resilience in young adults using machine learning.
Epigenomics
September 2025
Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Aims: Psychological resilience refers to an individual's capacity to adapt to adverse events. MicroRNAs (miRNAs) play a crucial role in regulating post-transcriptional processes, while small extracellular vesicles (sEVs) act as transport vehicles. This study aimed to employ genome-wide profiling to identify and validate differences in the expression of resilience-associated sEV-miRNAs between low resilience (LR) and high resilience (HR) in young adults.
View Article and Find Full Text PDFRobust Missing Value Imputation With Proximal Optimal Transport for Low-Quality IIoT Data.
IEEE Trans Neural Netw Learn Syst
September 2025
Accurate imputation of missing data is crucial in the Industrial Internet-of-Things (IIoT), where operations are often compromised by noisy samples from harsh environments. Traditional imputation methods struggle with such noise due to their black-box nature or lack of adaptability. To address this issue, we recast data imputation as a distribution alignment challenge, utilizing the flexibility of optimal transport (OT) to handle noisy samples.
View Article and Find Full Text PDFEvaluation of alternative clinical samples for the detection of SARS-CoV-2 and influenza virus by automated multiplex RT-PCR.
J Infect Dev Ctries
August 2025
Department of Medical Microbiology, Faculty of Medicine, Ege University, Izmir 35100, Turkey.
Introduction: The aim of this study was to compare the performance of different clinical specimens-nasopharyngeal (NP) swabs collected by healthcare professionals (HCP-NP), self-collected nasal swabs (Sc-N), and saliva samples (S)-in diagnostic tests for investigating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA and influenza A/B RNA.
Methodology: These clinical samples were collected from 404 symptomatic cases and tested with the SARS-CoV-2 and influenza A/B RNA tests on the cobas 6800 System of Roche Molecular Systems (Roche Molecular Systems, Pleasanton, USA). The SARS-CoV-2 or influenza virus infection status was determined for all patients based on the predefined criteria and corresponding algorithms.