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Registro Completo |
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 Rhizobium strains; Modification on symbiotic interaction of pea (Pisum sativum L.) and Rhizobium leguminosarum by induced mutations. MenosGeneral 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: |
LEADER 02571nam a2200349 a 4500 001 1450322 005 2008-07-03 008 1984 bl uuuu u01u1 u #d 020 $a90-247-3123-2 100 1 $aHARDARSON, G. 245 $aBreeding legumes for enhanced symbiotic nitrogen fixation. 260 $aDordrecht: M. Nijhohh / W. Junk$c1984 300 $a166p. 490 $a(Advances in Agricultural Biotechonology). 500 $aProceedings of an FAO/IAEA consultants' meeting, held in Vienna, 26-30 September 1983. 520 $aGeneral 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 Rhizobium strains; Modification on symbiotic interaction of pea (Pisum sativum L.) and Rhizobium leguminosarum by induced mutations. 650 $abreeding 650 $anitrogen 650 $aBactéria 650 $aMelhoramento 650 $aNitrogênio 650 $aPlanta 650 $aRhizobium Leguminosarum 650 $aRhizobium Meliloti 650 $aSoja 653 $aFixacao 653 $aFixation 653 $aLeguminous 653 $aPlant 653 $aPlanta leguminosa 653 $aSoybean 700 1 $aLIE, T. A.
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Registro original: |
Embrapa Soja (CNPSO) |
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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
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Marc: |
LEADER 02179naa a2200253 a 4500 001 2141236 005 2024-01-23 008 2022 bl uuuu u00u1 u #d 022 $a2666-0539 024 7 $ahttps://doi.org/10.1016/j.snr.2022.100083$2DOI 100 1 $aSOARES, J. C. 245 $aDetection of Staphylococcus aureus in milk samples using impedance spectroscopy and data processing with information visualization techniques and multidimensional calibration space.$h[electronic resource] 260 $c2022 300 $a10 p. 520 $aEarly 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. 653 $aImmunosensor 653 $aMachine learning 653 $aNanostructured film 700 1 $aSOARES, A. C. 700 1 $aPOPOLIN-NETO, M. 700 1 $aPAULOVICH, F. V. 700 1 $aOLIVEIRA JR, O. N. 700 1 $aMATTOSO, L. H. C. 773 $tSensors and Actuators Reports$gv. 4, 100083, 2022.
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