Light emitting diode (LED) use in artificial lighting for broiler chicken production

Light emitting diode (LED) has been used in commercial poultry industry by presenting superior energy savings and providing feasibility on production process. The objective of this research was to evaluate performance and carcass yield of broiler chickens exposed to different LED colors compared with fluorescent lamps. For that, two experiments (E1 and E2) were performed and 2,646 Cobb® chickens were used. In experiment E1, male birds were exposed to 20 lux artificial lighting with red, yellow, blue, and white LED bulbs; and fluorescent bulb. In experiment E2, male and female birds were exposed to 15 lux artificial lighting with red and blue LED bulbs; and fluorescent bulb. Cumulative weight gain (kg), feed intake (kg), feed conversion, hot carcass weight (kg), carcass yield (%), and breast and thigh + drumstick yield (%) were used as response variables. Results showed no difference (p > 0.05) among treatments for performance, carcass yield, and cut yield in experiment E1. In experiment E2 there was only difference between genders (p < 0.05) and males showed higher total weight gain, feed intake, hot carcass weight and thigh + drumstick yield. Different LED color use had same effect as fluorescent lights on broiler performance and carcass yield.

Application of artificial neural networks as an alternative to volumetric water balance in drip irrigation management in watermelon crop

Precision irrigation seeks to establish strategies which achieve an efficient ratio between the volume of water used (reduction in input) and the productivity obtained (increase in production). There are several studies in the literature on strategies for achieving this efficiency, such as those dealing with the method of volumetric water balance (VWB). However, it is also of great practical and economic interest to set up versatile implementations of irrigation strategies that: (i) maintain the performance obtained with other implementations, (ii) rely on few computational resources, (iii) adapt well to field conditions, and (iv) allow easy modification of the irrigation strategy. In this study, such characteristics are achieved when using an Artificial Neural Network (ANN) to determine the period of irrigation for a watermelon crop in the Irrigation Perimeter of the Lower Acaraú, in the state of Ceará, Brazil. The Volumetric Water Balance was taken as the standard for comparing the management carried out with the proposed implementation of ANN. The statistical analysis demonstrates the effectiveness of the proposed management, which is able to replace VWB as a strategy in automation.

Nova técnica de alimentação enteral em fístulas esôfago-jejunais

BACKGROUND: A new procedure for the treatment of esophageal fistula, mainly associated to the ebb esophagojejunal in patients submitted to the total gastrectomy and reconstruction with loop jejunal Rouxen-Y anastomosis is present. METHODS: The method is based in the use of "probe standard enteral prolongated with drain to laminate adapted in extremity", which results in advanced positioning inside the jejunum, making the administration of enteral nutrition possible and impeding ebb esophagojejunal. RESULTS: The authors discuss the theoretical advantages of the procedure and they suggest that the treatment of esofagic fistula with probe prolonged enteral would be suitable in the treatment of the fistula esophagojejunal by preventing the ebb esophagojejunal, which would result in smaller period of duration of the fistula esophagojejunal and it would prevent the high mortality rate. CONCLUSIONS: Preliminary studies demonstrated that this is a technically easy, low cost procedure through the endoscopic use. A prospective evaluation for morbility and mortality related to the method is needed.

Análise da diversidade da microbiota intestinal de ratos submetidos à ressecção da valva ileocecal e criação de esfíncter artificial

OBJETIVO: analisar através de biologia molecular a diversidade da microbiota da junção ileocecal antes e após a ressecção da válvula ileocecal e reconstrução do trânsito com e sem a criação de "neoesfíncter". MÉTODOS: Os animais foram distribuídos em dois grupos: Grupo A (n=7) com ressecção da válvula ileocecal e anastomose ileocólica término-terminal em plano único, e Grupo B (n=7) com ressecção da válvula ileocecal e anastomose ileocólica término-terminal em plano único e confecção do esfíncter artificial. Reoperados com 20 dias coletou-se novamente conteúdo intraluminar do íleo e do cólon. Das amostras coletadas, extraiu-se DNA para reação de PCR-DGGE. Os padrões de bandas eletroforéticas , gerados na reação, foram submetidos ao programa Bionumerics para análise da similaridade e da diversidade da microbiota. RESULTADOS: a diversidade da microbiota foi maior e em mais amostras do íleo do que as do cólon. O grupo com a válvula apresentou os maiores valores e variações no cólon de 2,11 a 2,93. Em três animais de cada grupo estabeleceu-se comparação da similaridade e não se assemelharam ao controle. CONCLUSÃO: a ressecção da válvula ileocecal levou à mudanças da microbiota ileal e, com a criação de novo esfíncter, as variações foram maiores.

Evaluation of follicular lymphoid depletion in the Bursa of Fabricius: an alternative methodology using digital image analysis and artificial neural networks

Fifty Bursa of Fabricius (BF) were examined by conventional optical microscopy and digital images were acquired and processed using Matlab® 6.5 software. The Artificial Neuronal Network (ANN) was generated using Neuroshell® Classifier software and the optical and digital data were compared. The ANN was able to make a comparable classification of digital and optical scores. The use of ANN was able to classify correctly the majority of the follicles, reaching sensibility and specificity of 89% and 96%, respectively. When the follicles were scored and grouped in a binary fashion the sensibility increased to 90% and obtained the maximum value for the specificity of 92%. These results demonstrate that the use of digital image analysis and ANN is a useful tool for the pathological classification of the BF lymphoid depletion. In addition it provides objective results that allow measuring the dimension of the error in the diagnosis and classification therefore making comparison between databases feasible.

Utilização de vagens de Prosopis juliflora na alimentação de ovinos e caprinos

Sinais nervosos associados à ingestão de vagens de Prosopis julilora tem sido descritos em aprinos adultos pastejando continuamente em áreas invadidas por esta planta. A doença não tem sido constatada em ovinos, mas nesta espécie o pastejo em áreas invadidas por P. julilora tem sido associado à ocorrência de malformações. O presente trabalho objetivou estudar a toxicidade sobre o sistema nervoso e o efeito teratogênico de vagens de P. julilora (algaroba) em ovinos e avaliar a sua toxicidade em caprinos. Para isso foram realizados três experimentos. No Experimento 1, grupos de quatro ovinos receberam vagens na concentração de 0, 60% e 90% da alimentação durante um ano. No Experimento 2, sete ovelhas ingeriram vagens, em quantidades equivalente a 2,1% do peso corporal (pc) durante toda a gestação. No Experimento 3, três caprinos receberam vagens em quantidade equivalente a 1,5% do pc por periodos de 264, 474 e 506 dias. Nenhum animal experimental apresentou sinais nervosos e no Experimento 2 todas as ovelhas pariram cordeiros normais. Esses resultados sugerem que as vagens de algaroba podem ser utilizadas sem restrição na alimentação de ovinos. Em um trabalho anterior as vagens de algaroba, nas concentrações de 60% e 90% da alimentação, causaram intoxicação em caprinos apos 210 dias de ingestão o que sugere que ocorrem variações na toxicidade das vagens. Recomenda-se que caprinos não permaneçam em áreas invadidas por algaroba por mais de um periodo de frutificação da planta.

Utilização de vagens de Prosopis juliflora na alimentação de bovinos e equinos

As vagens de Prosopis juliflora (algaroba) causam sinais nervosos em bovinos, devidos a lesões no núcleo motor do trigêmeo, e cólicas em cavalos devidos à formação de fitobezoários no intestino. O presente trabalho objetivou estudar a toxicidade das vagens de P. juliflora para equinos e comprovar que a utilização 30% de vagens adicionadas na ração de bovinos não causa intoxicação. Para isso foram realizados três experimentos. No Experimento 1, dois bovinos ingeriram, durante um ano, vagens de algaroba, em quantidade equivalente a 30% do total da matéria seca ingerida. Nenhum animal experimental apresentou sinais nervosos. No Experimento 2, dois cavalos receberam vagens em quantidade equivalente a 1% do peso corporal (pc) durante quatro meses e em quantidade equivalente a 1,5% do pc durante outros três meses. No experimento 3, dois equinos receberam vagens ad libitum, durante um mês. Em nenhum dos equinos foram observados sinais nervosos nem cólicas devidas à formação de fitobezoários. Esses resultados sugerem que as vagens de algoraba, apesar de sua toxicidade, podem ser utilizadas na alimentação de bovinos em confinamento ou semi-confinamento, nas concentrações de 30% da alimentação por períodos de até um ano. Não há restrições para a administração de vagens de algaroba em equinos confinados; no entanto, permanecem as restrições para o pastejo de equídeos em áreas invadidas por algaroba. Sugere-se que as vagens perdem a sua capacidade de formar fitobezoários em consequência do armazenamento. Bovinos não devem permanecer em áreas invadidas por P. juliflora, quando a planta está frutificando, por mais de 30 dias.

Utilização da vitamina D3 e seus metabólitos na alimentação de frangos de corte sobre parâmetros imunológicos e morfometria intestinal

Os efeitos da suplementação da vitamina D3 e de seus diferentes metabólitos foram avaliados na resposta imune e na morfometria intestinal de frangos de corte. Foram utilizados 952 frangos de corte de um dia de idade, distribuídos em um delineamento inteiramente casualizado, com quatro tratamentos, sete repetições e 34 aves por unidade experimental. Os tratamentos foram constituídos por quatros diferentes fontes de vitamina D3: colecalciferol (D3), 25-hidroxicolecalciferol (25(OH)D3), 1,25-dihidroxicolecalciferol (1,25(OH)2D3) e 1α-hidroxicolecalciferol (1α(OH)D3). As diferentes fontes foram incluídas na dieta, fornecendo 2000 e 1600 UI de vitamina D, nas fases pré-inicial, inicial e de crescimento, respectivamente. O peso relativo do intestino delgado diferiu entre os tratamentos aos 7, 21 e 42 dias e o peso relativo do fígado somente aos 42 dias de idade. Os demais órgãos e parâmetros imunológicos avaliados (peso dos órgãos linfóides, reação de hipersensibilidade cutânea basofílica, avaliação da atividade de macrófagos, dosagem de nitrito e perfil heterofilo: linfócito foram similares entre os animais alimentados com os diferentes metabólitos. Houve efeito (P<0,05) dos diferentes metabólitos da vitamina D3 sobre o comprimento dos vilos de jejuno e íleo aos sete dias, diferindo entre os animais alimentados com 1,25(OH)2D3 e 1α(OH)D3 para jejuno e 1,25(OH)2D3 e vitamina D3 para íleo (P<0,05). Para as demais fases não foi observado influência (P>0,05) dos tratamentos. Os parâmetros imunológicos não foram afetados pelos diferentes metabólitos de vitamina D. Os diferentes metabólitos de vitamina D afetaram positivamente a morfometria intestinal na altura de vilo na fase inicial, sendo os melhores resultados obtido pelos animais alimentados com 1,25(OH)2D3, contudo os parâmetros imunológicos foram similares entre os metabólitos estudados.

Classification of antimicrobial resistance using artificial neural networks and the relationship of 38 genes associated with the virulence of Escherichia coli isolates from broilers

Avian pathogenic Escherichia coli (APEC) is responsible for various pathological processes in birds and is considered as one of the principal causes of morbidity and mortality, associated with economic losses to the poultry industry. The objective of this study was to demonstrate that it is possible to predict antimicrobial resistance of 256 samples (APEC) using 38 different genes responsible for virulence factors, through a computer program of artificial neural networks (ANNs). A second target was to find the relationship between (PI) pathogenicity index and resistance to 14 antibiotics by statistical analysis. The results showed that the RNAs were able to make the correct classification of the behavior of APEC samples with a range from 74.22 to 98.44%, and make it possible to predict antimicrobial resistance. The statistical analysis to assess the relationship between the pathogenic index (PI) and resistance against 14 antibiotics showed that these variables are independent, i.e. peaks in PI can happen without changing the antimicrobial resistance, or the opposite, changing the antimicrobial resistance without a change in PI.

Follicle and corpus luteum size and vascularity as predictors of fertility at the time of artificial insemination and embryo transfer in beef cattle

Abstract:Two ultrasound based fertility prediction methods were tested prior to embryo transfer (ET) and artificial insemination (AI) in cattle. Female bovines were submitted to estrous synchronization prior to ET and AI. Animals were scanned immediately before ET and AI procedure to target follicle and corpus luteum (CL) size and vascularity. In addition, inseminated animals were also scanned eleven days after insemination to target CL size and vascularity. All data was compared with fertility by using gestational diagnosis 35 days after ovulation. Prior to ET, CL vascularity showed a positive correlation with fertility, and no pregnancy occurred in animals with less than 40% of CL vascularity. Prior to AI and also eleven days after AI, no relationship with fertility was seen in all parameters analyzed (follicle and CL size and vascularity), and contrary, cows with CL vascularity greater than 70% exhibit lower fertility. In inseminated animals, follicle size and vascularity was positive related with CL size and vascularity, as shown by the presence of greater CL size and vascularity originated from follicle with also greater size and vascularity. This is the first time that ultrasound based fertility prediction methods were tested prior to ET and AI and showed an application in ET, but not in AI programs. Further studies are needed including hormone profile evaluation to improve conclusion.

Membrane properties of structurally modified ceramides : effects on lipid lateral distribution and sphingomyelin-interactions in artificial bilayer membranes

Ceramides comprise a class of sphingolipids that exist only in small amounts in cellular membranes, but which have been associated with important roles in cellular signaling processes. The influences that ceramides have on the physical properties of bilayer membranes reach from altered thermodynamical behavior to significant impacts on the molecular order and lateral distribution of membrane lipids. Along with the idea that the membrane physical state could influence the physiological state of a cell, the membrane properties of ceramides have gained increasing interest. Therefore, membrane phenomena related to ceramides have become a subject of intense study both in cellular as well as in artificial membranes. Artificial bilayers, the so called model membranes, are substantially simpler in terms of contents and spatio-temporal variation than actual cellular membranes, and can be used to give detailed information about the properties of individual lipid species in different environments. This thesis focuses on investigating how the different parts of the ceramide molecule, i.e., the N-linked acyl chain, the long-chain sphingoid base and the membrane-water interface region, govern the interactions and lateral distribution of these lipids in bilayer membranes. With the emphasis on ceramide/sphingomyelin(SM)-interactions, the relevance of the size of the SMhead group for the interaction was also studied. Ceramides with methylbranched N-linked acyl chains, varying length sphingoid bases, or methylated 2N (amide-nitrogen) and 3O (C3-hydroxyl) at the interface region, as well as SMs with decreased head group size, were synthesized and their bilayer properties studied by calorimetric and fluorescence spectroscopic techniques. In brief, the results showed that the packing of the ceramide acyl chains was more sensitive to methyl-branching in the mid part than in the distal end of the N-linked chain, and that disrupting the interfacial structure at the amide-nitrogen, as opposed to the C3-hydroxyl, had greater effect on the interlipid interactions of ceramides. Interestingly, it appeared that the bilayer properties of ceramides could be more sensitive to small alterations in the length of the long-chain base than what was previously reported for the N-linked acyl chain. Furthermore, the data indicated that the SM-head group does not strongly influence the interactions between SMs and ceramides. The results in this thesis illustrate the pivotal role of some essential parts of the ceramide molecules in determining their bilayer properties. The thesis provides increased understanding of the molecular aspects of ceramides that possibly affect their functions in biological membranes, and could relate to distinct effects on cell physiology.

Forecasting of wind speeds and directions with artificial neural networks

In this master’s thesis, wind speeds and directions were modeled with the aim of developing suitable models for hourly, daily, weekly and monthly forecasting. Artificial Neural Networks implemented in MATLAB software were used to perform the forecasts. Three main types of artificial neural network were built, namely: Feed forward neural networks, Jordan Elman neural networks and Cascade forward neural networks. Four sub models of each of these neural networks were also built, corresponding to the four forecast horizons, for both wind speeds and directions. A single neural network topology was used for each of the forecast horizons, regardless of the model type. All the models were then trained with real data of wind speeds and directions collected over a period of two years in the municipal region of Puumala in Finland. Only 70% of the data was used for training, validation and testing of the models, while the second last 15% of the data was presented to the trained models for verification. The model outputs were then compared to the last 15% of the original data, by measuring the mean square errors and sum square errors between them. Based on the results, the feed forward networks returned the lowest generalization errors for hourly, weekly and monthly forecasts of wind speeds; Jordan Elman networks returned the lowest errors when used for forecasting of daily wind speeds. Cascade forward networks gave the lowest errors when used for forecasting daily, weekly and monthly wind directions; Jordan Elman networks returned the lowest errors when used for hourly forecasting. The errors were relatively low during training of the models, but shot up upon simulation with new inputs. In addition, a combination of hyperbolic tangent transfer functions for both hidden and output layers returned better results compared to other combinations of transfer functions. In general, wind speeds were more predictable as compared to wind directions, opening up opportunities for further research into building better models for wind direction forecasting.

Artificial Ribonucleases: Oligonucleotides Conjugated with Metal Ion Chelates of Azacrowns

Ribonucleic acid (RNA) has many biological roles in cells: it takes part in coding, decoding, regulating and expressing of the genes as well as has the capacity to work as a catalyst in numerous biological reactions. These qualities make RNA an interesting object of various studies. Development of useful tools with which to investigate RNA is a prerequisite for more advanced research in the field. One of such tools may be the artificial ribonucleases, which are oligonucleotide conjugates that sequence-selectively cleave complementary RNA targets. This thesis is aimed at developing new efficient metal-ion-based artificial ribonucleases. On one hand, to solve the challenges related to solid-supported synthesis of metal-ion-binding conjugates of oligonucleotides, and on the other hand, to quantify their ability to cleave various oligoribonucleotide targets in a pre-designed sequence selective manner. In this study several artificial ribonucleases based on cleaving capability of metal ion chelated azacrown moiety were designed and synthesized successfully. The most efficient ribonucleases were the ones with two azacrowns close to the 3´- end of the oligonucleotide strand. Different transition metal ions were introduced into the azacrown moiety and among them, the Zn2+ ion was found to be better than Cu2+ and Ni2+ ions.

Fitoplâncton (exceto Chlorophyceae) de um lago artificial urbano no Sul do Brasil

O presente estudo tem como objetivo conhecer a composição do fitoplâncton no Lago das Tartarugas, situado no Jardim Botânico da cidade de Porto Alegre, Estado do Rio Grande do Sul. As amostragens foram realizadas mensalmente, no período de junho de 2007 a maio de 2008, em uma estação em três diferentes níveis de profundidade, na zona pelágica. Um total de 49 táxons específicos e infraespecíficos pertencentes a sete classes foram registrados. Cyanobacteria apresentou maior número de táxons (35% dos táxons identificados) seguida de Bacillariophyceae (33%) e Euglenophyceae (16,3%). São apresentadas descrições, medidas e ilustrações dos táxons, assim como a distribuição dos mesmos durante o ciclo anual.

Cianobactérias planctônicas de um lago artificial urbano na cidade de Goiânia, GO

Os criatórios de peixe do estado de Goiás são inúmeros e de intensa atividade recreativa. No entanto, estudos sobre as cianobactérias nesses ambientes são escassos, fato preocupante, uma vez que é comum notar-se intensa proliferação do fitoplâncton em pesqueiros, principalmente devido a ações antrópicas. O perigo consiste na formação de florações de espécies potencialmente tóxicas, principalmente de cianobactérias. Este trabalho visa inventariar as espécies planctônicas de cianobactérias ocorrentes em um pesqueiro (lago Jaó - um lago artificial raso) da área municipal de Goiânia (GO) (16º39'13" S-49º13'26" O). As amostragens foram realizadas nos períodos de seca (2003 a 2008) e chuva (2009), quando visualmente era evidente a ocorrência de florações. Foram aferidas variáveis climatológicas, morfométricas e limnológicas. O período de seca foi representativo nos anos amostrados apresentando no máximo 50 mm de precipitação mensal em 2005. Foram registrados 31 táxons de cianobactérias pertencentes aos gêneros Dolichospermum (5 spp.), Aphanocapsa (4 spp.), Microcystis (3 spp.), Pseudanabaena (3 spp.), Radiocystis (2 spp.), Oscillatoria (2 spp.), Bacularia, Coelosphaerium, Cylindrospermopsis, Geitlerinema, Glaucospira, Limnothrix, Pannus, Phormidium, Planktolyngbya, Planktothrix, Sphaerocavum e Synechocystis, esses últimos com uma espécie cada. Nos anos de 2003 a 2005 ocorreu predomínio de florações de espécies de Dolichospermum e em 2006 predominaram espécies de Microcystis, Radiocystis e Aphanocapsa. Das espécies inventariadas neste estudo, 21 são primeiras citações para o estado de Goiás e 13 foram constadas na literatura como potencialmente tóxicas.