Effects of enramycin and sodium monensin on nutrients digestibility in bovine fed with high-concentrate diets

Estudaram-se os efeitos da administração de enramicina e monensina sódica sobre a digestão total dos nutrientes da dieta e o consumo de matéria seca digestível em bovinos. Doze fêmeas bovinas não-gestantes e não-lactantes (675 ± 63 kg PV) foram distribuídas inteiramente ao acaso em três tratamentos (controle, enramicina e monensina) e alimentados com dieta contendo 60% de concentrados (milho, farelo de soja e minerais) e 40% de volumoso (cana-de-açúcar). A enramicina foi administrada na dose de 20 mg/animal/dia e a monensina na dose de 300 mg/animal/dia. O experimento teve duração total de 21 dias, de modo que os últimos dez dias foram utilizados para administração do marcador externo (15 g de óxido crômico/animal/dia) e os últimos cinco dias para a coleta de fezes e amostragem dos alimentos. Nenhum dos antibióticos alterou os consumos de matéria seca digestível e NDT e a digestibilidade de matéria seca, proteína bruta, extrato etéreo, fibra em detergente ácido, fibra em detergente neutro, amido, energia bruta e nutrientes digestíveis totais.The objective of this trial was to study the effects of enramycin and sodium monensin administration on total digestibility of diet nutrients and digestible dry matter intake in bovine. Twelve non-pregnant and non-lactating cows (675 kg ± 63 BW) were randomly assigned to three treatments: control group, enramycin-treated group or monensin-treated group. Animals received a diet containing 60% of concentrates (corn, soy bean meal and minerals) and 40% of forage (sugarcane). Treatments were 20 mg/animal/day of enramycin or 300 mg/animal/day of monensin. Trial lasted 21 days, the last 10 used for external marker administration (15 g of chromic oxide/animal/day) and the last 5 for feces collection and feed sampling. None of the antibiotics affected digestible dry matter and TDN intake and the digestibilities of dry matter, crude protein, ether extract, acid detergent fiber, neutral detergent fiber, starch, gross energy or total digestible nutrients

Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models

To improve the monitoring of the electrical power grid, it is necessary to evaluate the influence of contamination in relation to leakage current and its progression to a disruptive discharge. In this paper, insulators were tested in a saline chamber to simulate the increase of salt contamination on their surface. From the time series forecasting of the leakage current, it is possible to evaluate the development of the fault before a flashover occurs. In this paper, for a complete evaluation, the long short-term memory (LSTM), group method of data handling (GMDH), adaptive neuro-fuzzy inference system (ANFIS), bootstrap aggregation (bagging), sequential learning (boosting), random subspace, and stacked generalization (stacking) ensemble learning models are analyzed. From the results of the best structure of the models, the hyperparameters are evaluated and the wavelet transform is used to obtain an enhanced model. The contribution of this paper is related to the improvement of well-established models using the wavelet transform, thus obtaining hybrid models that can be used for several applications. The results showed that using the wavelet transform leads to an improvement in all the used models, especially the wavelet ANFIS model, which had a mean RMSE of 1.58 × 10−3, being the model that had the best result. Furthermore, the results for the standard deviation were 2.18 × 10−19, showing that the model is stable and robust for the application under study. Future work can be performed using other components of the distribution power grid susceptible to contamination because they are installed outdoors.N/

Effects of enramycin and sodium monensin on dry matter intake, ruminal fermentation and alimentary behavior in bovine fed high-concentrate diets

Estudaram-se os efeitos da administração de enramicina e monensina sódica no consumo de matéria seca (MS), na fermentação ruminal e no comportamento alimentar de bovinos. Doze fêmeas bovinas não-gestantes e não-lactantes (675 ± 63 kg PC) foram distribuídas inteiramente ao acaso em três tratamentos, formados por um grupo controle, um grupo tratado com enramicina e outro tratado com monensina. Os animais foram alimentados com dieta contendo 60% de concentrado (milho, farelo de soja e minerais) e 40% de volumoso (cana-de-açúcar). A enramicina foi administrada na dose de 20 mg/animal/dia e a monensina na dose de 300 mg/animal/dia. O experimento teve duração total de 21 dias, de modo que o 21º dia foi utilizado para coleta de líquido ruminal, realizada às 0, 2, 4, 6, 8, 10 e 12 horas após a primeira refeição. A monensina aumentou a concentração total de AGV 12 horas após a alimentação, em relação aos demais tratamentos, e diminuiu a relação acético:propiônico nos tempo 0 e 6 horas, em relação à enramicina, mas não em relação ao controle. Nenhum dos antibióticos testados alterou a proporção molar dos ácidos acético, propiônico ou butírico nem o pH e a concentração ruminal de nitrogênio amoniacal. Os antibióticos também não alteraram o consumo de MS ou o comportamento ingestivo, avaliado nas atividades de alimentação, ruminação e ócio.The objective of this research was to study the effects of enramycin and sodium monensin administration on dry matter intake, ruminal fermentation and alimentary behavior in bovine. Twelve non-pregnant and non-lactating cows (675 kg ± 63 of BW) were randomly assigned to three treatments: control group, enramycin treated group or monensin treated group. Animals received a diet containing 60% of concentrates (corn, soybean meal and minerals) and 40% of forage (sugarcane). Treatments were 20 mg/animal/day of enramycin and 300 mg/animal/day of monensin. Trial lasted 21 days, and at the 21st was used for ruminal fluid sampling at 0, 2, 4, 6, 8, 10 and 12 hours after 1st meal. Monensin increased total VFA concentration 12 h after feeding in relation to others treatments and decreased the acetic:propionic ratio at times 0 and 6 h, in relation to enramycin, but not when compared to control. The two ionophores tested did not influence the molar proportion of acetic, propionic or butyric acids, pH, ammoniacal-N concentration, or DM intake and intake behavior, evaluated during activities of feeding, rumination and idleness

Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction

Disruptive failures threaten the reliability of electric supply in power branches, often indicated by the rise of leakage current in distribution insulators. This paper presents a novel, hybrid method for fault prediction based on the time series of the leakage current of contaminated insulators. In a controlled high-voltage laboratory simulation, 15 kV-class insulators from an electrical power distribution network were exposed to increasing contamination in a salt chamber. The leakage current was recorded over 28 h of effective exposure, culminating in a flashover in all considered insulators. This flashover event served as the prediction mark that this paper proposes to evaluate. The proposed method applies the Christiano–Fitzgerald random walk (CFRW) filter for trend decomposition and the group data-handling (GMDH) method for time series prediction. The CFRW filter, with its versatility, proved to be more effective than the seasonal decomposition using moving averages in reducing non-linearities. The CFRW-GMDH method, with a root-mean-squared error of 3.44×10−12, outperformed both the standard GMDH and long short-term memory models in fault prediction. This superior performance suggested that the CFRW-GMDH method is a promising tool for predicting faults in power grid insulators based on leakage current data. This approach can provide power utilities with a reliable tool for monitoring insulator health and predicting failures, thereby enhancing the reliability of the power supply

AVALIAÇÃO DE ISOLADORES ELÉTRICOS UTILIZANDO ULTRASSOM E APRENDIZADO DE MÁQUINA

Nas redes de distribuição de energia elétrica são utilizados isoladores elétricos, que têm como finalidades dar sustentação mecânica aos cabos e proporcionar isolamento elétrico da estrutura de suporte. A vericação da qualidade dos isoladores elétricos instalados possui uma metodologia baseada no conhecimento adquirido por técnicos, sendo que esta verificação não é realizada sem a análise intuitiva de um profissional. Desta forma, este trabalho apresenta uma metodologia baseada em técnicas de processamento de sinais e Aprendizado de Máquina para a construção de um algoritmo capaz de identicar automaticamente possíveis danos em isoladores elétricos. Para isso, foi realizado um estudo com microfone de ultrassom para captação de sons emitidos por isoladores energizados. Para que o algoritmo identifique a integridade dos isoladores, foi necessário passar por um processo de testes com amostras produzidas em laboratório com isoladores em bom estado de conservação e com isoladores danicados por perfuração, sendo possível evidenciar as características dos isoladores. Então, foi aplicado o algoritmo de Árvore de Decisão que apresentou 98,8% de acurácia ao classicar as amostras de acordo com os tipos de isoladores estudados. Foram também testados os algoritmos de Máquina de Vetor de Suporte e K-Vizinho mais próximos, que apresentaram menor acurácia

Evaluation of relative biological efficiency of additives in sugarcane ensiling

The objective of this study was to evaluate the effects of adding alkalis on the fermentative pattern, aerobic stability and nutritive value of the sugarcane silage. A completely randomized design with 6 additives in two concentrations (1 or 2%), plus a control group, totalizing 13 treatments [(6x2)+1] with four replications, was used. The additives were sodium hydroxide (NaOH), limestone (CaCO3), urea (CO(NH2)(2)), sodium bicarbonate (NaHCO3), quicklime (CaO) and hydrated lime (Ca(OH)(2)). The material was ensiled in 52 laboratory silos using plastic buckets with 12 L of capacity. Silos were opened 60 days after ensiling, when organic acids concentration, aerobic stability and chemical composition were determined. The Relative Biological Efficiency (RBE) was calculated by the slope ratio method, using the data obtained from ratio between desirable and undesirable silage products, according to the equation: D/U ratio = [lactic/(ethanol + acetic + butyric)]. All additives affected dry matter, crude protein, acid detergent fiber, neutral detergent fiber contents and buffering capacity. Except for urea and quicklime, all additives increased the in vitro dry matter digestibility. In general, these additives altered the fermentative pattern of sugarcane silage, inhibiting alcoholic fermentation and improving lactic acid production. The additive that showed the best RBE in relation to sodium hydroxide (100%) was limestone (89.4%). The RBE values of urea, sodium bicarbonate and hydrated lime were 49.2%, 47.7% and 34.3%, respectively

Effects of microbial inoculants and amino acid production by-product on fermentation and chemical composition of sugarcane silages

The objective of this study was to evaluate the chemical composition, fermentation patterns and aerobic stability of sugarcane silages with addition of amino acid production (monosodium glutamate) by-product (APB) and microbial inoculants. Mature sugarcane was chopped and ensiled in laboratory silos (n = 4/treatment) without additives (control) and with APB (10 g/kg), Pioneer 1174® (PIO, 1.0 mg/kg, Lactobacillus plantarum + Streptoccoccus faecium, Pioneer), Lalsil Cana (2.0 mg/kg, Lactobacillus buchineri, Lallemand) or Mercosil Maís 11C33® (1.0 mg/kg, Lactobacillus buchineri + Lactobacillus plantarum + Streptoccoccus faecium, Timac Agro). Fresh silage and silage liquor samples were obtained to assess pH, chemical composition and organic acid concentrations. Silage temperature was recorded throughout seven days to evaluate aerobic stability. The addition of APB decreased lactic acid levels, increased pH and N-NH3 and did not alter ethanol, acetic and butyric acids concentrations or dry matter (DM) losses. Microbial inoculants enhanced acetic acid levels, although only Pioneer 1174® and Mercosil Maís 11C33® lowered ethanol, butyric acid and DM losses. The addition of APB increased CP content and did not modify DM, soluble carbohydrates contents or in vitro dry matter digestibility. Additives did not alter silage maximum temperature or temperature increasing rate; however, Pioneer 1174® and Mercosil Maís 11C33® increased the time elapsed to reach maximum temperature. Monosodium glutamate production by-product does not alter fermentation patterns or aerobic stability of sugarcane silages, whereas homofermentative bacteria can provide silages of good quality

Genotype by environment interaction for 450-day weight of Nelore cattle analyzed by reaction norm models

Genotype by environment interactions (GEI) have attracted increasing attention in tropical breeding programs because of the variety of production systems involved. In this work, we assessed GEI in 450-day adjusted weight (W450) Nelore cattle from 366 Brazilian herds by comparing traditional univariate single-environment model analysis (UM) and random regression first order reaction norm models for six environmental variables: standard deviations of herd-year (RRMw) and herd-year-season-management (RRMw-m) groups for mean W450, standard deviations of herd-year (RRMg) and herd-year-season-management (RRMg-m) groups adjusted for 365-450 days weight gain (G450) averages, and two iterative algorithms using herd-year-season-management group solution estimates from a first RRMw-m and RRMg-m analysis (RRMITw-m and RRMITg-m, respectively). The RRM results showed similar tendencies in the variance components and heritability estimates along environmental gradient. Some of the variation among RRM estimates may have been related to the precision of the predictor and to correlations between environmental variables and the likely components of the weight trait. GEI, which was assessed by estimating the genetic correlation surfaces, had values < 0.5 between extreme environments in all models. Regression analyses showed that the correlation between the expected progeny differences for UM and the corresponding differences estimated by RRM was higher in intermediate and favorable environments than in unfavorable environments (p < 0.0001)

Comparative Proteomic Analyses Between Biofilm-Forming and Non-biofilm-Forming Strains of Corynebacterium pseudotuberculosis Isolated From Goats

Caseous lymphadenitis (CLA) is a chronic disease that affects small ruminants and causes economic losses in the associated breeding system. The causative agent of CLA is Corynebacterium pseudotuberculosis, a Gram-positive bacterium that exhibits tropism for external and internal lymph nodes and induces abscess formation in the host. Bacterial communities often produce a biofilm matrix that serves various functions, including protection against hostile environmental conditions, antibiotics, and the host immune response. Although biofilm formation has been reported for C. pseudotuberculosis, not all strains demonstrate this property in culture. In this work, we report the first comparative proteomic analysis of one biofilm-forming (CAPJ4) and one biofilm-non-forming strain (CAP3W) of C. pseudotuberculosis isolated from goats. Bacterial whole cell protein extracts were obtained for mass spectrometry analyses. Using LC-MS/MS, our studies reveal three and four proteins exclusively found in the CAPJ4 and CAP3W proteome, respectively. In addition, label-free quantitative analysis identified 40 proteins showing at-least 2-fold higher values in CAPJ4 compared CAP3W proteome Notably, CAPJ4 differentially synthesized the penicillin-binding protein, which participates in the formation of peptidoglycans. CAPJ4 also exhibited upregulation of N-acetylmuramoyl-L-alanine amidase and galactose-1-phosphate uridylyltransferase, which are involved in biofilm formation and exopolysaccharide biosynthesis. Here, we demonstrate that biofilm formation in C. pseudotuberculosis is likely associated with specific proteins, some of which were previously shown to be associated with virulence and biofilm formation in other organisms. Our findings may drive studies related to the bacterial mechanisms involved in the biofilm formation, in addition to providing targets for the treatment of CLA.Fil: Sá, Maria Conceição Aquino de. Universidade Federal da Bahia; BrasilFil: Marques Da Silva, Wanderson. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación En Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Rodrigues, Carla Catarine Santos. Universidade Federal da Bahia; BrasilFil: Rezende, Cristiana Perdigão. Universidade Federal de Minas Gerais; BrasilFil: Marchioro, Silvana Beutinger. Universidade Federal da Bahia; BrasilFil: Rocha Filho, José Tadeu Raynal. Universidade Federal da Bahia; BrasilFil: Sousa, Thiago de Jesus. Universidade Federal de Minas Gerais; BrasilFil: Oliveira, Helinando Pequeno de. Universidade Federal do Vale do Sao Francisco; BrasilFil: Costa, Mateus Matiuzzi da. Universidade Federal do Vale do Sao Francisco; BrasilFil: Figueiredo, Henrique César Pereira. Universidade Federal de Minas Gerais; BrasilFil: Portela, Ricardo Dias. Universidade Federal da Bahia; BrasilFil: Castro, Thiago Luiz de Paula. Universidade Federal da Bahia; BrasilFil: Azevedo, Vasco. Universidade Federal de Minas Gerais; BrasilFil: Seyffert, Nubia. Universidade Federal da Bahia; BrasilFil: Meyer, Roberto. Universidade Federal da Bahia; Brasi