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Registro Completo |
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Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
24/03/2016 |
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Data da última atualização: |
28/03/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ALMEIDA JUNIOR, H. L. de; BOABAID, R. O.; TIMM, V.; SILVA, R. M. e.; CASTRO, L. A. S. de. |
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Afiliação: |
Hiram Larangeira de Almeida Jr, UFPEL; Roberta Oliveira Boabaid, UCPEL; Vitor Timm, UFPEL; Ricardo Marques e Silva, UFPEL; LUIS ANTONIO SUITA DE CASTRO, CPACT. |
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Título: |
Scanning electron microscopy of superficial white onychomycosis. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Anais Brasileiros de Dermatologia, v. 90, n. 5, p. 753-755, 2015. |
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DOI: |
DOI: http://dx.doi.org/10.1590/abd1806-4841.20154136 |
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Idioma: |
Inglês |
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Conteúdo: |
Superficial white onychomycosis is characterized by opaque, friable, whitish superficial spots on the nail plate. We examined an affected halux nail of a 20-year-old male patient with scanning electron microscopy. The mycological examination isolated Trichophyton mentagrophytes. Abundant hyphae with the formation of arthrospores were found on the nail?s surface, forming small fungal colonies. These findings showed the great capacity for dissemination of this form of onychomycosis. |
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Palavras-Chave: |
Unha. |
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Thesagro: |
Micose. |
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Thesaurus Nal: |
scanning electron microscopy. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/141655/1/Luis-Suita-white-onychomycosis.pdf
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Marc: |
LEADER 01159naa a2200217 a 4500
001 2041808
005 2016-03-28
008 2015 bl uuuu u00u1 u #d
024 7 $aDOI: http://dx.doi.org/10.1590/abd1806-4841.20154136$2DOI
100 1 $aALMEIDA JUNIOR, H. L. de
245 $aScanning electron microscopy of superficial white onychomycosis.$h[electronic resource]
260 $c2015
520 $aSuperficial white onychomycosis is characterized by opaque, friable, whitish superficial spots on the nail plate. We examined an affected halux nail of a 20-year-old male patient with scanning electron microscopy. The mycological examination isolated Trichophyton mentagrophytes. Abundant hyphae with the formation of arthrospores were found on the nail?s surface, forming small fungal colonies. These findings showed the great capacity for dissemination of this form of onychomycosis.
650 $ascanning electron microscopy
650 $aMicose
653 $aUnha
700 1 $aBOABAID, R. O.
700 1 $aTIMM, V.
700 1 $aSILVA, R. M. e.
700 1 $aCASTRO, L. A. S. de
773 $tAnais Brasileiros de Dermatologia$gv. 90, n. 5, p. 753-755, 2015.
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Registro original: |
Embrapa Clima Temperado (CPACT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
20/08/2020 |
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Data da última atualização: |
04/11/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
OLIVEIRA, I. C. M.; GUILHEN, J. H. S.; RIBEIRO, P. C. de O.; GEZAN, S. A.; SCHAFFERT, R. E.; SIMEONE, M. L. F.; DAMASCENO, C. M. B.; CARNEIRO, J. E. de S.; CARNEIRO, P. C. S.; PARRELLA, R. A. da C.; PASTINA, M. M. |
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Afiliação: |
Isadora Cristina Martins Oliveira; José Henrique Soler Guilhen; Pedro César de Oliveira Ribeiro, Universidade Federal de Viçosa; Salvador Alejandro Gezan, VSN International; ROBERT EUGENE SCHAFFERT, CNPMS; MARIA LUCIA FERREIRA SIMEONE, CNPMS; CYNTHIA MARIA BORGES DAMASCENO, CNPMS; José Eustáquio de Souza Carneiro, Universidade Federal de Viçosa; Pedro Crescêncio Souza Carneiro, Universidade Federal de Viçosa; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; MARIA MARTA PASTINA, CNPMS. |
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Título: |
Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Field Crops Research, v. 257, 107929, 2020. |
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Idioma: |
Inglês |
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Conteúdo: |
Biomass sorghum has emerged as an alternative crop for biofuel and bioelectricity production. Fresh biomassyield (FBY) is a quantitative trait highly correlated with the calorific power of energy sorghum cultivars, but alsohighly affected by the environment. The main goal of this study was to investigate the genotype-by-environmentinteraction (G × E) and the stability of sorghum hybrids evaluated for FBY across different locations and years,using factor analytic (FA) mixed models and environmental covariates. Pairwise genetic correlations betweenenvironments ranged from -0.21 to 0.99, indicating the existence of null to high G × E. The FA analysis unveiledthat solely three factors explained more than 79% of the genetic variance, and that more than 60% of theenvironments were clustered in thefirst factor. Moderate correlations were found between some environmentalcovariates and the loadings of FA models for environments, suggesting the possible factors to explain the high G× E between environments clustered in a given factor. For example: precipitation, minimum temperature andspeed wind were correlated to the environmental loadings of factor 1; minimum temperature, solar radiation andaltitude to factor 2; and crop growth cycle to factor 3. The latent regression analysis was used to identify hybridsmore responsive to a set of environments, as well as hybrids specifically adapted to a given environment. Finally,FA models can be successfully used to identify the main environmental factors affecting G × E, such as minimumtemperature, precipitation, solar radiation, crop growth cycle and altitude. MenosBiomass sorghum has emerged as an alternative crop for biofuel and bioelectricity production. Fresh biomassyield (FBY) is a quantitative trait highly correlated with the calorific power of energy sorghum cultivars, but alsohighly affected by the environment. The main goal of this study was to investigate the genotype-by-environmentinteraction (G × E) and the stability of sorghum hybrids evaluated for FBY across different locations and years,using factor analytic (FA) mixed models and environmental covariates. Pairwise genetic correlations betweenenvironments ranged from -0.21 to 0.99, indicating the existence of null to high G × E. The FA analysis unveiledthat solely three factors explained more than 79% of the genetic variance, and that more than 60% of theenvironments were clustered in thefirst factor. Moderate correlations were found between some environmentalcovariates and the loadings of FA models for environments, suggesting the possible factors to explain the high G× E between environments clustered in a given factor. For example: precipitation, minimum temperature andspeed wind were correlated to the environmental loadings of factor 1; minimum temperature, solar radiation andaltitude to factor 2; and crop growth cycle to factor 3. The latent regression analysis was used to identify hybridsmore responsive to a set of environments, as well as hybrids specifically adapted to a given environment. Finally,FA models can be successfully used to identify the main environment... Mostrar Tudo |
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Thesagro: |
Bioenergia; Melhoramento Genético Vegetal; Sorghum Bicolor. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215435/1/Genotype-environment.pdf
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Marc: |
LEADER 02518naa a2200277 a 4500
001 2124452
005 2020-11-04
008 2020 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, I. C. M.
245 $aGenotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates.$h[electronic resource]
260 $c2020
520 $aBiomass sorghum has emerged as an alternative crop for biofuel and bioelectricity production. Fresh biomassyield (FBY) is a quantitative trait highly correlated with the calorific power of energy sorghum cultivars, but alsohighly affected by the environment. The main goal of this study was to investigate the genotype-by-environmentinteraction (G × E) and the stability of sorghum hybrids evaluated for FBY across different locations and years,using factor analytic (FA) mixed models and environmental covariates. Pairwise genetic correlations betweenenvironments ranged from -0.21 to 0.99, indicating the existence of null to high G × E. The FA analysis unveiledthat solely three factors explained more than 79% of the genetic variance, and that more than 60% of theenvironments were clustered in thefirst factor. Moderate correlations were found between some environmentalcovariates and the loadings of FA models for environments, suggesting the possible factors to explain the high G× E between environments clustered in a given factor. For example: precipitation, minimum temperature andspeed wind were correlated to the environmental loadings of factor 1; minimum temperature, solar radiation andaltitude to factor 2; and crop growth cycle to factor 3. The latent regression analysis was used to identify hybridsmore responsive to a set of environments, as well as hybrids specifically adapted to a given environment. Finally,FA models can be successfully used to identify the main environmental factors affecting G × E, such as minimumtemperature, precipitation, solar radiation, crop growth cycle and altitude.
650 $aBioenergia
650 $aMelhoramento Genético Vegetal
650 $aSorghum Bicolor
700 1 $aGUILHEN, J. H. S.
700 1 $aRIBEIRO, P. C. de O.
700 1 $aGEZAN, S. A.
700 1 $aSCHAFFERT, R. E.
700 1 $aSIMEONE, M. L. F.
700 1 $aDAMASCENO, C. M. B.
700 1 $aCARNEIRO, J. E. de S.
700 1 $aCARNEIRO, P. C. S.
700 1 $aPARRELLA, R. A. da C.
700 1 $aPASTINA, M. M.
773 $tField Crops Research$gv. 257, 107929, 2020.
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Embrapa Milho e Sorgo (CNPMS) |
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