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Biblioteca(s):  Embrapa Soja.
Data corrente:  27/04/1993
Data da última atualização:  03/07/2008
Autoria:  HARDARSON, G.; LIE, T. A. (ed.).
Título:  Breeding legumes for enhanced symbiotic nitrogen fixation.
Ano de publicação:  1984
Fonte/Imprenta:  Dordrecht: M. Nijhohh / W. Junk, 1984.
Páginas:  166p.
Série:  (Advances in Agricultural Biotechonology).
ISBN:  90-247-3123-2
Idioma:  Inglês
Notas:  Proceedings of an FAO/IAEA consultants' meeting, held in Vienna, 26-30 September 1983.
Conteúdo:  General recomendations of FAO/IAEA consultants meeting on mutation breeding for improved nitrogen fixation in grain legumes; Efficiencis and ineficiencies in the legume/Rhizobium symbiosis - A review; Improving nitrogen fixation in legumes by plant breeding: the relevance of host selection experiments in red clover (Trifolium pratense L.) and subterranean clover (T. subterraneum L.); A multipletrait breeding program improving the symbiosis for N2 fixation between Medicago sativa L. and Rhizobium meliloti; Selection for improved nitrogen fixation in Glycine max (L). Merr. and Phaseolus vulgaris L.; Developing a breeding strategy to exploit quantitative variation in symbiotic nitrogen fixation; Mutation breeding of grain legumes; Gene centres, a source for genetic variants in symbiotic nitrogen fixation: the symbiotic response of the cultivated pea to Rhizobium leguminosarum stains from Europe and the middle east; Field evaluation of symbiotic nitrogen fixation by rhizobial strains using 15N methodology; Rhizobium inoculation trials designed to suport a tropical forage legume selection programme; Breeding soybeans for the tropics capable of nodulating effectively with indigenous Rhizobium spp.; Effect of plant genotype and nitrogen fertilizer on symbiotic nitrogen fixation by soybean cultivars; Quantitative assessment of symbiotic nitrogen fixation in diverse mutant lines of field bean (Vicia faba minor); Host genes in Pisum sativum L. conferring resistance to european Rhizobi... Mostrar Tudo
Palavras-Chave:  Fixacao; Fixation; Leguminous; Plant; Planta leguminosa; Soybean.
Thesagro:  Bactéria; Melhoramento; Nitrogênio; Planta; Rhizobium Leguminosarum; Rhizobium Meliloti; Soja.
Thesaurus Nal:  breeding; nitrogen.
Categoria do assunto:  --
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Soja (CNPSO)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CNPSO6695 - 1ADCPC - --631.847H258b1986.00252
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Registro Completo

Biblioteca(s):  Embrapa Instrumentação.
Data corrente:  24/03/2022
Data da última atualização:  23/01/2024
Tipo da produção científica:  Artigo em Periódico Indexado
Circulação/Nível:  B - 1
Autoria:  SOARES, J. C.; SOARES, A. C.; POPOLIN-NETO, M.; PAULOVICH, F. V.; OLIVEIRA JR, O. N.; MATTOSO, L. H. C.
Afiliação:  LUIZ HENRIQUE CAPPARELLI MATTOSO, CNPDIA.
Título:  Detection of Staphylococcus aureus in milk samples using impedance spectroscopy and data processing with information visualization techniques and multidimensional calibration space.
Ano de publicação:  2022
Fonte/Imprenta:  Sensors and Actuators Reports, v. 4, 100083, 2022.
Páginas:  10 p.
ISSN:  2666-0539
DOI:  https://doi.org/10.1016/j.snr.2022.100083
Idioma:  Inglês
Conteúdo:  Early diagnosis of cattle diseases such as mastitis caused by Staphylococcus aureus (S. aureus) can be made effective if on-site detection methods with portable instruments are available. In this work, we fabricated immunosensors based on a layer-by-layer (LbL) film of chitosan and carbon nanotubes coated with a layer of antibodies to detect S. aureus. Using electrical and electrochemical impedance spectroscopies, detection was possible in buffer solutions and in milk with limits of detection which could be as low as 2.6 CFU/mL for milk,sufficient to detect mastitis at early stages. This high sensitivity is ascribed to the specific interactions involving the antibodies, as demonstrated with polarization-modulated infrared reflection absorption spectroscopy (PMIRRAS). The selectivity of the immunosensor was verified by distinguishing S. aureus-containing samples from possible interferents found in milk, for which the interactive document mapping (IDMAP) was employed.Because the interferents affected the spectra, in spite of this distinguishability, we treated the data with a machine learning technique with decision tree models. A multidimensional calibration space was then obtained with rules that permit interpretability and predictability in detecting S. aureus in matrices with high variability as in milk.
Palavras-Chave:  Immunosensor; Machine learning; Nanostructured film.
Categoria do assunto:  --
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/232884/1/P-Detection-of-Staphylococcus-aureus-in-milk-samples-using-impedance.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Instrumentação (CNPDIA)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CNPDIA17953 - 1UPCAP - DDPROCI.22/202020-21
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