scholarly journals The Dietary Risk Factors of Gastric Ulcers in Finishing Pigs from 16 Polish Farms

Agriculture ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 719
Author(s):  
Piotr Cybulski ◽  
Magdalena Larska ◽  
Aleksandra Woźniak ◽  
Artur Jabłoński ◽  
Tomasz Stadejek
Keyword(s):  
Wheat Bran ◽  
Low Cost ◽  
Gastric Ulcers ◽  
Finishing Pigs ◽  
Feed Composition ◽  
Liquid Feeding ◽  
Level Data ◽  
Welfare Problem ◽  
Pelleted Feed ◽  
Acute Form

Sudden death caused by the acute form of gastric ulceration has developed into a widely recognised health and welfare problem. The importance of different triggering factors is poorly understood. The study was carried out on finishers slaughtered in Poland. The collected animal-level data were transformed to a herd-level dataset, which included 27 predictor variables. From a total of 32,264 pig stomachs examined, 23,188 (71.9%) had gastric lesions. Total of 17,703 organs (54.9%) had ulcers. Scores 1 (hyperkeratotic) and 2 (erosions) were observed in 2958 (9.2%) and 2527 (7.8%), respectively. A significant (p < 0.05) association of the ulcer prevalence was found for a number of variables. Raising the level of protein significantly (p = 0.04) increased (ρ = 0.22) the occurrence of gastric ulcers. The addition of wheat bran (p = 0.02) and its growing share in feed composition had the contrary effect (ρ = −0.27). Feeding pelleted feed was significantly associated (p = 0.001) with the higher prevalence of the disease, opposite to liquid feeding (p = 0.0002) and supplementation of a mycotoxin deactivator (p = 0.0008). Although, the immediate transition from one feeding system to another in most of the farms is impossible, the addition of materials such as wheat bran, and routine supplementation with mycotoxin deactivators may be a practical and relatively low-cost solution.

scholarly journals Testing an “IoT” Tide Gauge Network for Coastal Monitoring

IoT ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 17-32
Author(s):  
Philip Knight ◽  
Cai Bird ◽  
Alex Sinclair ◽  
Jonathan Higham ◽  
Andy Plater
Keyword(s):  
Sea Level ◽  
Morphological Changes ◽  
Tide Gauge ◽  
Low Cost ◽  
Pressure Sensors ◽  
Wave Activity ◽  
Tide Gauges ◽  
Coastal Monitoring ◽  
Level Data ◽  
Operational Constraints

A low-cost “Internet of Things” (IoT) tide gauge network was developed to provide real-time and “delayed mode” sea-level data to support monitoring of spatial and temporal coastal morphological changes. It is based on the Arduino Sigfox MKR 1200 micro-controller platform with a Measurement Specialties pressure sensor (MS5837). Experiments at two sites colocated with established tide gauges show that these inexpensive pressure sensors can make accurate sea-level measurements. While these pressure sensors are capable of ~1 cm accuracy, as with other comparable gauges, the effect of significant wave activity can distort the overall sea-level measurements. Various off-the-shelf hardware and software configurations were tested to provide complementary data as part of a localized network and to overcome operational constraints, such as lack of suitable infrastructure for mounting the tide gauges and for exposed beach locations.

Adsorptive Removal of Copper from Waste Water Using Biomass & Biochar Based Materials

2022 ◽  
Vol 1048 ◽  
pp. 459-467
Author(s):  
Sadamanti Sireesha ◽  
Utkarsh Upadhyay ◽  
Inkollu Sreedhar ◽  
K.L. Anitha
Keyword(s):  
Adsorption Capacity ◽  
Wheat Bran ◽  
Heavy Metal Contamination ◽  
Copper Ions ◽  
Low Cost ◽  
Toxic Metal ◽  
Environmental Concerns ◽  
Corn Cob ◽  
Mango Kernel ◽  
Neem Leaves

Heavy metal contamination has been one of the primary environmental concerns for many years in most developing countries. As the industries continue to search for low-cost and efficient adsorbents to treat their effluents contaminated with these toxic metal ions, biomass-based adsorbents have gained much attention. This work exploits such ten different biomass-based adsorbents (namely, Karanja de-oiled cake, Neem de-oiled cake, Neem leaves, Moringa Leaves, Bagasse, Mango Kernel, Wheat Bran, Eucalyptus, Fly ash, and Corn cob) for adsorption of copper ions in particular. Further, selected adsorbents (namely Karanja de-oiled cake, Neem de-oiled cake, Bagasse, Wheat Bran and Mango Kernel) were taken to the next stage and modified to biochar and tested again for copper removal. Among the biomass-based adsorbents, the highest adsorption capacity was observed for Neem de-oiled cake (equal to 9.6 mg/g). While for biochar-based adsorbents, Bagasse showed the highest adsorption capacity for copper (equivalent to 13.0 mg/g).

Statistical Modeling, Optimization and Kinetics of Mn2+ Adsorption in Aqueous Solution Using a Biosorbent

2019 ◽  
Vol 233 (8) ◽  
pp. 1201-1214 ◽  
Author(s):  
Elaheh Tajari ◽  
Narges Samadani Langeroodi ◽  
Mahnaz Khalafi
Keyword(s):  
Wheat Bran ◽  
Low Cost ◽  
Weight Ratio ◽  
P Value ◽  
Core Shell ◽  
Optimal Conditions ◽  
Solution Ph ◽  
Shell Weight ◽  
Removal Ratio ◽  
Kinetics Of

Abstract This paper describes the adsorption of Mn2+ ions from water with a mixture of wheat bran and Japanese medlar core shell (weight ratio of 30–70 wheat bran to Japanese medlar core shell) as low-cost adsorbent. Scanning Electron Microscope was used to characterize the adsorbent. The response surface methodology (RSM) that is usually approximated by a second-order regression model was employed to evaluate the effects of solution pH, initial Mn2+ concentration, adsorbent weight and contact time on the removal ratio of the Mn2+ ions. In this regard, the significant variables initial Mn2+ ions concentration, pH, adsorbent weight and square pH were found based on the small P-value for the model coefficients. The predicted optimal conditions were also performed. In the process optimization, maximal value of the removal ratio of Mn2+ was achieved as 96.91%. Additionally, this paper discusses the kinetic of adsorption in optimal conditions.

scholarly journals Causes of death in growing-finishing pigs in two technified farms in southern Brazil

2020 ◽  
Vol 40 (10) ◽  
pp. 758-775
Author(s):  
Manoela M. Piva ◽  
Claiton I. Schwertz ◽  
Ronaldo M. Bianchi ◽  
Regina T. Kemper ◽  
Luan Cleber Henker ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Influenza A ◽  
Pasteurella Multocida ◽  
Causes Of Death ◽  
Histopathological Examination ◽  
Gastric Ulcers ◽  
Finishing Pigs ◽  
Southern Brazil ◽  
Bacterial Pericarditis ◽  
Conclusive Diagnosis

ABSTRACT: The aim of this study was to investigate the main causes of death in growing-finishing pigs in southern Brazil. During a one-year period (from 2018 to 2019), two industrial pig herds (18 and 20 thousand pigs each farm) in southern Brazil were monitored along the four seasons of the year (12 days per season on each farm), in order to perform necropsies of all pigs that died in that period. The two farms had an average monthly mortality rate ranging from 0.94 to 3.93% in the evaluated months. At necropsy, tissues were collected, fixed in 10% formalin solution and processed routinely for histopathological examination. When necessary, samples were sent for bacterial culture and PCR to identify etiologic agents. A total of 601 necropsies were performed, with 94.9% of conclusive diagnoses. Infectious diseases corresponded to 64.4% of conclusive diagnosis and non-infectious diseases to 35.6%. The most prevalent causes of death were: pneumonia (33%), gastric ulcers (15.4%), circovirosis (9.9%), systemic bacterial embolism (5.4%), polyserositis (4.4%), dilated cardiomyopathy and torsion of abdominal organs (4.3% each), and bacterial pericarditis (3.4%). Regarding pneumonias (199/601), the main agents identified in these cases were Pasteurella multocida, Influenza A virus and Mycoplasma hyopneumoniae, mainly in associations.

scholarly journals Power to Choose? An Analysis of Consumer Inertia in the Residential Electricity Market

2017 ◽  
Vol 9 (4) ◽  
pp. 192-226 ◽  
Author(s):  
Ali Hortaçsu ◽  
Seyed Ali Madanizadeh ◽  
Steven L. Puller
Keyword(s):  
Electricity Market ◽  
Low Cost ◽  
Consumer Surplus ◽  
Retail Competition ◽  
Search Frictions ◽  
Cost Information ◽  
Household Level ◽  
Consumer Benefits ◽  
Level Data ◽  
Residential Electricity

Many jurisdictions around the world have deregulated utilities and opened retail markets to competition. However, inertial decision making can diminish consumer benefits of retail competition. Using household-level data from the Texas residential electricity market, we document evidence of consumer inertia. We estimate an econometric model of retail choice to measure two sources of inertia: search frictions/inattention and a brand advantage that consumers afford the incumbent. We find that households rarely search for alternative retailers, and when they do search, households attach a brand advantage to the incumbent. Counterfactual experiments show that low-cost information interventions can notably increase consumer surplus. (JEL D12, D83, L81, L94, L98, M31)

scholarly journals On the Use of Biobased Waxes to Tune Thermal and Mechanical Properties of Polyhydroxyalkanoates–Bran Biocomposites

Polymers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 2615
Author(s):  
Vito Gigante ◽  
Patrizia Cinelli ◽  
Maria Cristina Righetti ◽  
Marco Sandroni ◽  
Giovanni Polacco ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Wheat Bran ◽  
Mechanical Performance ◽  
Low Cost ◽  
Impact Resistance ◽  
Mechanical Analysis ◽  
Polymeric Matrix ◽  
Flour Milling ◽  
Mechanical Performances ◽  
Analytic Models

In this work, processability and mechanical performances of bio-composites based on poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) containing 5, 10, and 15 wt % of bran fibers, untreated and treated with natural carnauba and bee waxes were evaluated. Wheat bran, the main byproduct of flour milling, was used as filler to reduce the final cost of the PHBV-based composites and, in the same time, to find a potential valorization to this agro-food by-product, widely available at low cost. The results showed that the wheat bran powder did not act as reinforcement, but as filler for PHBV, due to an unfavorable aspect ratio of the particles and poor adhesion with the polymeric matrix, with consequent moderate loss in mechanical properties (tensile strength and elongation at break). The surface treatment of the wheat bran particles with waxes, and in particular with beeswax, was found to improve the mechanical performance in terms of tensile properties and impact resistance of the composites, enhancing the adhesion between the PHBV-based polymeric matrix and the bran fibers, as confirmed by predictive analytic models and dynamic mechanical analysis results.

The effects of liquid feed on the small intestine mucosa and performance of finishing pigs at different water to feed ratios

2001 ◽  
Vol 2001 ◽  
pp. 161-161 ◽  
Author(s):  
D. Hurst ◽  
I.J. Lean ◽  
A.D. Hall
Keyword(s):  
Small Intestine ◽  
Growing Pigs ◽  
Finishing Pigs ◽  
Feed Conversion ◽  
Liquid Form ◽  
Physiological Basis ◽  
Liquid Feeding ◽  
Intestine Mucosa ◽  
And Performance ◽  
Dry Diet

Liquid feeding of growing pigs is believed to increase feed intake and growth performance compared to a dry diet. There is little information on the comparative feed conversion efficiency of pigs on the two forms of diet or the underlying physiological basis for the differences and how liquid diets affect the absorptive mucosa of the small intestine. This study was designed to investigate differences in feed utilisation and mucosal structure in modern genotype pigs offered equal amounts of feed in dry and liquid form. Additionally, the effect of reducing the pH of the liquid diet was considered.

scholarly journals The Internet of Things enhancing animal welfare and farm operational efficiency

2020 ◽  
Vol 87 (S1) ◽  
pp. 20-27
Author(s):  
Craig Michie ◽  
Ivan Andonovic ◽  
Christopher Davison ◽  
Andrew Hamilton ◽  
Christos Tachtatzis ◽  
...  
Keyword(s):  
Data Streams ◽  
Data Exchange ◽  
Low Cost ◽  
Operational Efficiency ◽  
Sensor Technology ◽  
Feeding Strategies ◽  
False Alarms ◽  
Accurate Identification ◽  
Feed Composition ◽  
Cloud Data

AbstractThe growth in wirelessly enabled sensor network technologies has enabled the low cost deployment of sensor platforms with applications in a range of sectors and communities. In the agricultural domain such sensors have been the foundation for the creation of decision support tools that enhance farm operational efficiency. This Research Reflection illustrates how these advances are assisting dairy farmers to optimise performance and illustrates where emerging sensor technology can offer additional benefits. One of the early applications for sensor technology at an individual animal level was the accurate identification of cattle entering into heat (oestrus) to increase the rate of successful pregnancies and thus optimise milk yield per animal. This was achieved through the use of activity monitoring collars and leg tags. Additional information relating to the behaviour of the cattle, namely the time spent eating and ruminating, was subsequently derived from collars giving further insights of economic value into the wellbeing of the animal, thus an enhanced range of welfare related services have been provisioned. The integration of the information from neck-mounted collars with the compositional analysis data of milk measured at a robotic milking station facilitates the early diagnosis of specific illnesses such as mastitis. The combination of different data streams also serves to eliminate the generation of false alarms, improving the decision making capability. The principle of integrating more data streams from deployed on-farm systems, for example, with feed composition data measured at the point of delivery using instrumented feeding wagons, supports the optimisation of feeding strategies and identification of the most productive animals. Optimised feeding strategies reduce operational costs and minimise waste whilst ensuring high welfare standards. These IoT-inspired solutions, made possible through Internet-enabled cloud data exchange, have the potential to make a major impact within farming practices. This paper gives illustrative examples and considers where new sensor technology from the automotive industry may also have a role.

scholarly journals Combined ANN/ EVOP Factorial Design Approach for Media Screening for Cost-effective Production of Alkaline Proteases from Rhizopus oryzae (SN5) / NCIM-1447 under SSF

2020 ◽  
Author(s):  
Sangeeta Negi ◽  
Sapna Jain ◽  
Anand Kumar
Keyword(s):  
Wheat Bran ◽  
Soybean Meal ◽  
Rhizopus Oryzae ◽  
Low Cost ◽  
Nitrogen Sources ◽  
Cost Effective ◽  
Protease Production ◽  
High Yield ◽  
Market Demand ◽  
Fungal Protease

Abstract In order to achieve high yield of fungal protease in a very cost effective way and to meet its increased market demand, current study deals with the screening of various agro-wastes as carbon source for the production of protease from Rhizopus oryzae (SN5) / NCIM-1447 under solid state fermentation. Substrates and culture parameters such as wheat bran, soybean meal, black-gram husk, rice husk, mixture of wheat bran, soybean meal, nitrogen sources, pH, temperature and incubation time were first optimized with one factor at time strategy and then EVOP factorial and yield of alkaline protease was achieved 412.8 U/gds at 28 o C and pH=6 after 72 hours of fermentation taking wheat bran and soybean as a substrate in 4:1 ratio. Further Artificial Neural Networks (ANN), was trained with data of EVOP and yield of protease was enhanced up to 422.6 U/gds with wheat bran: soyabean in ratio of 70:30, pH 6.2 at 30°C. The evolved process and Rhizopus oryzae (SN5)/ NCIM-1447 strain would be promising for protease production at industrial scale at low cost.

Estimation of Elasticities of Substitution for CES and VES Production Functions using Firm-level Data for Food-processing Industries in Pakistan

1988 ◽  
Vol 27 (1) ◽  
pp. 59-71 ◽  
Author(s):  
George E. Barrese ◽  
Sohail J. Malik
Keyword(s):  
Food Processing ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Low Cost ◽  
Series Data ◽  
Firm Level ◽  
Acre Yield ◽  
Level Data ◽  
The Government

This study, based on the time-series data covering the period from 1956 to 1986, estimates production function in the agricultural sector of Pakistan. The strategy for agricultural development in the country has been based on greater utilization of "high pay-off' low-cost technology. The government advanced loans through financial institutions to make it possible for the farmers to acquire this technology. Despite the infusion of seed-fertilizer technology, per acre yield of major crops like wheat, rice, cereal and sugar-cane in Pakistan is lower than in most LDCs in the region. Therefore, it is concluded that the use of present technology has reached a plateau and it is time to look for additional inputs for improvement in productivity.

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