Potential loss of nutrients from different rearing strategies for fattening pigs on pasture

Operational risk is defined as the risk of loss resulting from inadequate or failed internal processes or external problems. Insurance companies as financial institution that also faced at risk. Recording of operating losses in insurance companies, were not properly conducted so that the impact on the limited data for operational losses. In this work, the data of operational loss observed from the payment of the claim. In general, the number of insurance claims can be modelled using the Poisson distribution, where the expected value of the claims is similar with variance, while the negative binomial distribution, the expected value was bound to be less than the variance.Analysis tools are used in the measurement of the potential loss is the loss distribution approach with the aggregate method. In the aggregate method, loss data grouped in a frequency distribution and severity distribution. After doing 10.000 times simulation are resulted total loss of claim value, which is total from individual claim every simulation. Then from the result was set the value of potential loss (OpVar) at a certain level confidence.

Download Full-text

Prevalence of Salmonella in fattening pigs- risk factors and spread

10.31274/safepork-180809-805 ◽

2009 ◽

Author(s):

S. Hotes ◽

N. Kemper ◽

I. Traulsen ◽

G. Rave ◽

J. Krieter

Keyword(s):

Risk Factors ◽

Fattening Pigs

Download Full-text

An Experimental Investigation of the Efficacy of Lawyers' Letters

Auditing A Journal of Practice & Theory ◽

10.2308/aud.2002.21.1.79 ◽

2002 ◽

Vol 21 (1) ◽

pp. 79-93 ◽

Cited By ~ 6

Author(s):

Jack L. Krogstad ◽

Mark H. Taylor ◽

Maribeth J. Stock

Keyword(s):

Experimental Study ◽

Experimental Investigation ◽

Lower Bound ◽

Financial Statements ◽

Law Students ◽

Potential Loss

This experimental study investigates the efficacy of lawyers' letters in providing auditors with corroborating evidence about litigation contingencies. Fifty second- and third-year law students indicate their willingness to provide auditors with estimates of the likelihoods of unfavorable outcomes and potential damages for two realistic litigation cases. The findings indicate that (1) the potential loss of attorney-client privilege and (2) likelihoods of unfavorable litigation outcomes that approach auditors' lower bound for accrual both may inhibit lawyers' responses to auditors. Overall, these findings raise doubts about the efficacy of this widely utilized auditing procedure and lead to concerns about whether litigation contingencies and corresponding losses may be underreported in financial statements.

Download Full-text

Effect of Dietary Brown Seaweed (Macrocystis pyrifera) Additive on Meat Quality and Nutrient Composition of Fattening Pigs

Foods ◽

10.3390/foods10081720 ◽

2021 ◽

Vol 10 (8) ◽

pp. 1720

Author(s):

Nancy Jerez-Timaure ◽

Melissa Sánchez-Hidalgo ◽

Rubén Pulido ◽

Jonathan Mendoza

Keyword(s):

Meat Quality ◽

Cholesterol Metabolism ◽

Biological Effects ◽

Brown Seaweed ◽

Macrocystis Pyrifera ◽

Nutrient Composition ◽

Composition Analysis ◽

Regular Diet ◽

Longissimus Lumborum ◽

Fattening Pigs

The objective of this study was to evaluate the effects of dietary brown seaweed (Macrocystis pyrifera) additive (SWA) on meat quality and nutrient composition of commercial fattening pigs. The treatments were: Regular diet with 0% inclusion of SWA (CON); Regular diet with 2% SWA (2%-SWA); Regular diet with 4% SWA (4%-SWA). After slaughtering, five carcasses from each group were selected, and longissimus lumborum (LL) samples were taken for meat quality and chemical composition analysis. Meat quality traits (except redness intensity) were not affected (p > 0.05) by treatments. Samples from the 4%-SWA treatment showed the lowest a value than those from the 2%-SWA and CON treatments (p = 0.05). Meat samples from the 4%-SWA group contained 3.37 and 3.81 mg/100 g more of muscle cholesterol than CON and 2% SWA groups, respectively (p < 0.05). The SWA treatments affected (p ≤ 0.05) the content of ash, Mn, Fe, and Cu. The LL samples from 4%-SWA had the highest content of ash; however, they showed 0.13, 0.45, and 0.23 less mg/100 g of Mn, Fe, and Zn, respectively, compared to samples from CON (p ≤ 0.05). Fatty acids composition and macro minerals content (Na, Mg, and K) did not show variation due to the SWA treatments. Further studies are needed to understand the biological effects of these components on adipogenesis, cholesterol metabolism, and mineral deposition in muscle.

Download Full-text

Porcine teschovirus, sapelovirus, and enterovirus in Swiss pigs: multiplex RT-PCR investigation of viral frequencies and disease association

Journal of Veterinary Diagnostic Investigation ◽

10.1177/10406387211025827 ◽

2021 ◽

pp. 104063872110258

Author(s):

Tamara Stäubli ◽

Charlotte I. Rickli ◽

Paul R. Torgerson ◽

Cornel Fraefel ◽

Julia Lechmann

Keyword(s):

Clinical Signs ◽

Virus Detection ◽

Common Finding ◽

Fecal Samples ◽

High Frequencies ◽

Reverse Transcription Pcr ◽

Suckling Piglets ◽

Porcine Teschovirus ◽

Fattening Pigs ◽

Pathology Data

Porcine teschovirus (PTV), sapelovirus (PSV-A), and enterovirus (EV-G) are enteric viruses that can infect pigs and wild boars worldwide. The viruses have been associated with several diseases, primarily gastrointestinal, neurologic, reproductive, and respiratory disorders, but also with subclinical infections. However, for most serotypes, proof of a causal relationship between viral infection and clinical signs is still lacking. In Switzerland, there has been limited investigation of the occurrence of the 3 viruses. We used a modified multiplex reverse-transcription PCR protocol to study the distribution of the viruses in Swiss pigs by testing 363 fecal, brain, and placental or abortion samples from 282 healthy and diseased animals. We did not detect the 3 viruses in 94 placental or abortion samples or in 31 brain samples from healthy pigs. In brain tissue of 81 diseased pigs, we detected 5 PSV-A and 4 EV-G positive samples. In contrast, all 3 viruses were detected at high frequencies in fecal samples of both healthy and diseased pigs. In healthy animals, PTV was detected in 47%, PSV-A in 51%, and EV-G in 70% of the 76 samples; in diseased animals, frequencies in the 81 samples were 54%, 64%, and 68%, respectively. The viruses were detected more frequently in fecal samples from weaned and fattening pigs compared to suckling piglets and sows. Co-detections of all 3 viruses were the most common finding. Based on clinical and pathology data, statistical analysis yielded no evidence for an association of virus detection and disease. Further research is required to determine if pathogenicity is linked to specific serotypes of these viruses.

Download Full-text