Second generation European corn borer injury and Irish potato physiology, yield, and quality

European corn borer (ECB) [Ostrinia nubilalis (Hubner)] (Lepidoptera: Crambidae) is known to infest Irish potato (Solanum tuberosum L.) but only causes economic damage during the first generation in East Coast potato producing areas. However, in Nebraska, second generation ECB infest potato plants during the bulking period and may reduce yield and/or potato quality. Experiments were conducted in 2001, 2002, and 2003 to examine physiological and yield effects of second generation ECB injury to potato in Nebraska. Pike, Atlantic, and three Frito Lay proprietary varieties (FL1867, FL1879, and FL1833) were used. Experimental plots were infested with four ECB egg masses per plant to simulate ECB infestation by second-generation larvae; controls received no egg masses. Photosynthetic rates, tuber weights, tuber size grades, solids, and fry quality were measured. Potato plants with ECB infestation had significantly reduced photosynthetic rates on ECB-infested stems and on uninfested stems on the same plant when larvae were in the fifth instar. When insects were in the fourth instar, photosynthetic rates were reduced only on ECB-infested stems. In 2001, ECB infestation reduced the average mass of large tubers and increased the amount of small tubers in FL1867 and FL1879. In 2002, significant yield reductions were not observed. Across both years, ECB-infested plots produced fewer large (65- to 100-mm diam.) tubers than control plots. Other tuber properties and chip qualities were unaffected. This study indicates that second generation ECB infestation of approximately 30% infested plants results in economic loss for some chipping varieties and affects tuber bulking. In contrast to east coast growers, Midwest potato farmers must be concerned with second generation ECB.

Screening and Production Study of Microbial Xylanase Producers from Brazilian Cerrado

Hemicelluloses are polysaccharides of low molecular weight containing 100 to 200 glycosidic residues. In plants, the xylans or the hemicelluloses are situated between the lignin and the collection of cellulose fibers underneath. The xylan is the most common hemicellulosic polysaccharide in cell walls of land plants, comprising a backbone of xylose residues linked by beta-1,4-glycosidic bonds. So, xylanolytic enzymes from microorganism have attracted a great deal of attention in the last decade, particularly because of their biotechnological characteristics in various industrial processes, related to food, feed, ethanol, pulp, and paper industries. A microbial screening of xylanase producer was carried out in Brazilian Cerrado area in Selviria city, Mato Grosso do Sul State, Brazil. About 50 bacterial strains and 15 fungal strains were isolated from soil sample at 35 A degrees C. Between these isolated microorganisms, a bacterium Lysinibacillus sp. and a fungus Neosartorya spinosa as good xylanase producers were identified. Based on identification processes, Lysinibacillus sp. is a new species and the xylanase production by this bacterial genus was not reported yet. Similarly, it has not reported about xylanase production from N. spinosa. The bacterial strain P5B1 identified as Lysinibacillus sp. was cultivated on submerged fermentation using as substrate xylan, wheat bran, corn straw, corncob, and sugar cane bagasse. Corn straw and wheat bran show a good xylanase activity after 72 h of fermentation. A fungus identified as N. spinosa (strain P2D16) was cultivated on solid-state fermentation using as substrate source wheat bran, wheat bran plus sawdust, corn straw, corncob, cassava bran, and sugar cane bagasse. Wheat bran and corncobs show the better xylanase production after 72 h of fermentation. Both crude xylanases were characterized and a bacterial xylanase shows optimum pH for enzyme activity at 6.0, whereas a fungal xylanase has optimum pH at 5.0-5.5. They were stable in the pH range 5.0-10.0 and 5.5-8.5 for bacterial and fungal xylanase, respectively. The optimum temperatures were 55C and 60 A degrees C for bacterial and fungal xylanase, respectively, and they were thermally stable up to 50 A degrees C.

Case report: Disseminated Mycobacterium tuberculosis infection in a dog

An uncommon disseminated Mycobacterium tuberculosis infection is described in a 12-year-old female dog presenting with fever, dyspnea, cough, weight loss, lymphadenopathy, melena, epistaxis, and emesis. The dog had a history of close contact with its owner, who died of pulmonary tuberculosis. Radiographic examination revealed diffuse radio-opaque images in both lung lobes, diffuse visible masses in abdominal organs, and hilar and mesenteric lymphadenopathy. Bronchial washing samples and feces were negative for acid-fast organisms. Polymerase chain reaction (PCR)-based species identification of bronchial washing samples, feces, and urine revealed M. tuberculosis using PCR-restriction enzyme pattern analysis-PRA. Because of public health concerns, which were worsened by the physical condition of the dog, euthanasia of the animal was recommended. Rough and tough colonies suggestive of M. tuberculosis were observed after microbiological culture of lung, liver, spleen, heart, and lymph node fragments in Löwenstein-Jensen and Stonebrink media. The PRA analysis enabled diagnosis of M. tuberculosis strains isolated from organs. Copyright © 2013 by The American Society of Tropical Medicine and Hygiene.

Controle com modos deslizantes aplicado em sistemas com atraso e acesso somente à saída

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Compartimentação do meio físico, evolução morfológica e aspectos morfotectônicos em São Thomé das Letras (MG)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Ocorrência e identificação molecular de espécies do gênero Mycobacterium e marcadores de virulência em linhagens de Rhodococcus equi isoladas de linfonodos e das fezes de suínos de abatedeouro

Pós-graduação em Medicina Veterinária - FMVZ

A classificação bibliográfica no contexto do tratamento temático da informação: um estudo com o protocolo verbal individual em bibliotecas do Instituto Federal de Educação, Ciência e Tecnologia (IF´s)

The discussions that underpin the process of bibliographic classification in documentaries systems should be designed with scientific basis and theoretical, rather than only be based on professional practice. The theoretical approaches, however, attention should also be involved in professional practice. From this, the present study seeks to demonstrate through the perception of catalogers professional, the importance of reflections on the activity of Thematic Treatment of Information, especially the bibliographic classification in order to engender the strengthening of the area and improvements in product quality and services resulting from libraries. In this context, was carried out a study in the libraries of two Federal Institutes of Education, Science and Technology (IF’s) located in two different states of southeastern Brazil. Technique was employed introspective data collection Verbal Protocol in Individual mode, having qualitative character.

Etiopatogenia e tratamento do deslocamento de abomaso em bovinos leiteiros de alta produção

The dairy business is in constant development, in order to achieve better results and higher profits to the producer, and this search for improvement has led to the selection of a herd more productive. But this has caused some problems heightened, among them the displacement of the abomasum, a disease that affects much of the high producing dairy herd. The main reasons are apparently related to the feeding management, with the abrupt changes that the animal suffers in the post partum period, with diseases that would cause abomasal atony favoring its displacement, among others. When affected, the animals lose their appetite and in milk production, and may even, in severe cases, death to come. Treatments described in literature are varied and there are conservative and chirurgical methods. The choice of a particular technique depends on the financial condition of the producer, the economic value of the cow and from personal experience and technique of the veterinarian. Understanding the clinical implications of displaced abomasum is necessary not only for its animal identification in the field and its appropriate treatment but also for finding the errors and inadequacies in the management system of production that trigger this disease

Transporte público metropolitano nas regiões metropolitanas de Londrina e Maringá sob a ótica da mobilidade espacial

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Repercussões endodônticas dos procedimentos clareadores

Tooth bleaching is a treatment modality that raises great interest, due to the important role played by aesthetics in current life style. To perform such procedure, nowadays, there are several bleaching substances at several concentrations, as well as, diverse clinical techniques. When suggesting this procedure, the dentist should take into consideration several factors related to the patient to determine which will be the most appropriate technique/material combination for solving the clinical problem. The procedure indication should not only be based on the expectations exhibited by the patient, but also on respecting the biological principles to maintain the integrity of both the endodontic and periodontal tissues.

Eucalyptus urograndis stem proteome is responsive to short-term cold stress

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Representações do município de Rio Claro - SP: uma leitura da cartografia infantil

Pós-graduação em Educação - IBRC

Teores e quantidade de alguns elementos no córrego Lavapés, sub-bacia do rio Sorocaba, São Paulo, Brasil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Observer-based state-feedback versus H-infinity output feedback control solved by LMI approach for applications in smart structures

This paper aims with the use of linear matrix inequalities approach (LMIs) for application in active vibration control problems in smart strutures. A robust controller for active damping in a panel was designed with piezoelectrical actuators in optimal locations for illustration of the main proposal. It was considered, in the simulations of the closed-loop, a model identified by eigensystem realization algorithm (ERA) and reduced by modal decomposition. We tested two differents techniques to solve the problem. The first one uses LMI approach by state-feedback based in an observer design, considering several simultaneous constraints as: a decay rate, limited input on the actuators, bounded output peak (output energy) and robustness to parametic uncertainties. The results demonstrated the vibration attenuation in the structure by controlling only the first modes and the increased damping in the bandwidth of interest. However, it is possible to occur spillover effects, because the design has not been done considering the dynamic uncertainties related with high frequencies modes. In this sense, the second technique uses the classical H. output feedback control, also solved by LMI approach, considering robustness to residual dynamic to overcome the problem found in the first test. The results are compared and discussed. The responses shown the robust performance of the system and the good reduction of the vibration level, without increase mass.

Structural integrity identification based on smart materials and neural networks

This paper presents a non-model based technique to detect, locate, and characterize structural damage by combining the impedance-based structural health monitoring technique with an artificial neural network. The impedance-based structural health monitoring technique, which utilizes the electromechanical coupling property of piezoelectric materials, has shown engineering feasibility in a variety of practical field applications. Relying on high frequency structural excitations (typically>30 kHz), this technique is very sensitive to minor structural changes in the near field of the piezoelectric sensors. In order to quantitatively assess the state of structures, two sets of artificial neural networks, which utilize measured electrical impedance signals for input patterns, were developed. By employing high frequency ranges and by incorporating neural network features, this technique is able to detect the damage in its early stage and to estimate the nature of damage without prior knowledge of the model of structures. The paper concludes with an experimental example, an investigation on a massive quarter scale model of a steel bridge section, in order to verify the performance of this proposed methodology.