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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
03/12/2021 |
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Data da última atualização: |
10/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, R. A. da; SILVA, M. J. da; RIBEIRO, P. C. de O.; PARRELLA, N. N. L. D.; SCHAFFERT, R. E.; PARRELLA, R. A. da C. |
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Afiliação: |
RUANE ALICE DA SILVA, Universidade Federal de Viçosa; MICHELE JORGE DA SILVA, Universidade Federal de Viçosa; PEDRO CÉSAR DE OLIVEIRA RIBEIRO, Universidade Federal de Viçosa; NÁDIA NARDELY LACERDA DURÃES PARRELLA, Universidade Federal de São João del-Rei; ROBERT EUGENE SCHAFFERT, CNPMS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS. |
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Título: |
Phenotypic stability and adaptability of sweet sorghum genotypes evaluated in different Brazilian regions. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Agronomy Science and Biotechnology, v. 8, p. 1-16, 2022. |
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DOI: |
https://doi.org/10.33158/ASB.r147.v8.2022 |
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Idioma: |
Inglês |
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Conteúdo: |
Sweet sorghum is a special purpose sorghum with a sugar-rich stalk, almost like sugarcane. The objective of this work was to evaluate the phenotypic stability and adaptability of sweet sorghum genotypes, in different Brazilian regions, for the production of bioethanol. Twenty-five sweet sorghum genotypes were evaluated in 10 environments distributed in the Southeast, Midwest, Northeast, and Southern regions of Brazil. The experimental design was a randomized complete block design with three repetitions. The following agroindustrial traits were evaluated: fresh biomass yield (FBY), total soluble solids content (TSS) and tons of Brix per hectare (TBH). The adaptability and stability analyzes were performed with the methods GGEbiplot and Annicchiarico methodologies. The Annicchiarico and GGEbiplot adaptability and stability study methods presented satisfactory and consistent results and can be used separately or together in sweet sorghum breeding programs, and B005 and B008 sweet sorghum genotypes presented superior performance, with similar classification in both methods studied. |
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Palavras-Chave: |
Bioetanol. |
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Thesagro: |
Sorgo; Sorgo Açucareiro. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228949/1/Phenotypic-stability.pdf
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Marc: |
LEADER 01828naa a2200229 a 4500
001 2137062
005 2021-12-10
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.33158/ASB.r147.v8.2022$2DOI
100 1 $aSILVA, R. A. da
245 $aPhenotypic stability and adaptability of sweet sorghum genotypes evaluated in different Brazilian regions.$h[electronic resource]
260 $c2022
520 $aSweet sorghum is a special purpose sorghum with a sugar-rich stalk, almost like sugarcane. The objective of this work was to evaluate the phenotypic stability and adaptability of sweet sorghum genotypes, in different Brazilian regions, for the production of bioethanol. Twenty-five sweet sorghum genotypes were evaluated in 10 environments distributed in the Southeast, Midwest, Northeast, and Southern regions of Brazil. The experimental design was a randomized complete block design with three repetitions. The following agroindustrial traits were evaluated: fresh biomass yield (FBY), total soluble solids content (TSS) and tons of Brix per hectare (TBH). The adaptability and stability analyzes were performed with the methods GGEbiplot and Annicchiarico methodologies. The Annicchiarico and GGEbiplot adaptability and stability study methods presented satisfactory and consistent results and can be used separately or together in sweet sorghum breeding programs, and B005 and B008 sweet sorghum genotypes presented superior performance, with similar classification in both methods studied.
650 $aSorgo
650 $aSorgo Açucareiro
653 $aBioetanol
700 1 $aSILVA, M. J. da
700 1 $aRIBEIRO, P. C. de O.
700 1 $aPARRELLA, N. N. L. D.
700 1 $aSCHAFFERT, R. E.
700 1 $aPARRELLA, R. A. da C.
773 $tAgronomy Science and Biotechnology$gv. 8, p. 1-16, 2022.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia; Embrapa Uva e Vinho. |
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Data corrente: |
21/10/2014 |
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Data da última atualização: |
02/04/2019 |
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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: |
AGUSTINI, B. C.; SILVA, L. P. da; BLOCH JUNIOR, C.; BONFIM, T. M. B.; SILVA, G. A. da. |
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Afiliação: |
BRUNA CARLA AGUSTINI, CNPUV; LUCIANO PAULINO DA SILVA, CENARGEN; CARLOS BLOCH JUNIOR, CENARGEN; GILDO ALMEIDA DA SILVA, CNPUV. |
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Título: |
Evaluation of MALDI-TOF mass spectrometry for identification of environmental yeasts and development of supplementary database. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Applied Microbiology and Biotechnology, v. 98, n. 12, p. 5645-5654, 2014. |
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Idioma: |
Português |
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Notas: |
DOI: 10.1007/s00253-014-5686-7 |
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Conteúdo: |
Yeast identification using traditional methods which employ morphological, physiological, and biochemical characteristics can be considered a hard task as it requires experienced microbiologists and a rigorous control in culture conditions that could implicate in different outcomes. Considering clinical or industrial applications, the fast and accurate identification of microorganisms is a crescent demand. Hence, molecular biology approaches has been extensively used and, more recently, protein profiling using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has proved to be an even more efficient tool for taxonomic purposes. Nonetheless, concerning tomass spectrometry, data available for the differentiation of yeast species for industrial purpose is limited and reference databases commercially available comprise almost exclusively clinical microorganisms. In this context, studies focusing on environmental isolates are required to extend the existing databases. The development of a supplementary database and the assessment of a commercial database for taxonomic identifications of environmental yeast are the aims of this study. We challenge MALDI-TOF MS to create protein profiles for 845 yeast strains isolated fromgrape must and 67.7% of the strains were successfully identified according to previously available manufacturer database. The remaining 32.3 % strains were not identified due to the absence of a reference spectrum. After matching the correct taxon for these strains by using molecular biology approaches, the spectra concerning the missing species were added in a supplementary database. This new library was able to accurately predict unidentified species at first instance by MALDI-TOF MS, proving it is a powerful tool for the identification of environmental yeasts. MenosYeast identification using traditional methods which employ morphological, physiological, and biochemical characteristics can be considered a hard task as it requires experienced microbiologists and a rigorous control in culture conditions that could implicate in different outcomes. Considering clinical or industrial applications, the fast and accurate identification of microorganisms is a crescent demand. Hence, molecular biology approaches has been extensively used and, more recently, protein profiling using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has proved to be an even more efficient tool for taxonomic purposes. Nonetheless, concerning tomass spectrometry, data available for the differentiation of yeast species for industrial purpose is limited and reference databases commercially available comprise almost exclusively clinical microorganisms. In this context, studies focusing on environmental isolates are required to extend the existing databases. The development of a supplementary database and the assessment of a commercial database for taxonomic identifications of environmental yeast are the aims of this study. We challenge MALDI-TOF MS to create protein profiles for 845 yeast strains isolated fromgrape must and 67.7% of the strains were successfully identified according to previously available manufacturer database. The remaining 32.3 % strains were not identified due to the absence of a reference spectrum. After ma... Mostrar Tudo |
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Palavras-Chave: |
Levedura; MALDI-TOF MS. |
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Thesagro: |
Base de dados; Biologia molecular; Genética; Levedo; Microrganismo. |
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Thesaurus NAL: |
Molecular biology; Yeasts. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/110284/1/Silva-AMB.pdf
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Marc: |
LEADER 02726naa a2200289 a 4500
001 1997892
005 2019-04-02
008 2014 bl uuuu u00u1 u #d
100 1 $aAGUSTINI, B. C.
245 $aEvaluation of MALDI-TOF mass spectrometry for identification of environmental yeasts and development of supplementary database.$h[electronic resource]
260 $c2014
500 $aDOI: 10.1007/s00253-014-5686-7
520 $aYeast identification using traditional methods which employ morphological, physiological, and biochemical characteristics can be considered a hard task as it requires experienced microbiologists and a rigorous control in culture conditions that could implicate in different outcomes. Considering clinical or industrial applications, the fast and accurate identification of microorganisms is a crescent demand. Hence, molecular biology approaches has been extensively used and, more recently, protein profiling using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has proved to be an even more efficient tool for taxonomic purposes. Nonetheless, concerning tomass spectrometry, data available for the differentiation of yeast species for industrial purpose is limited and reference databases commercially available comprise almost exclusively clinical microorganisms. In this context, studies focusing on environmental isolates are required to extend the existing databases. The development of a supplementary database and the assessment of a commercial database for taxonomic identifications of environmental yeast are the aims of this study. We challenge MALDI-TOF MS to create protein profiles for 845 yeast strains isolated fromgrape must and 67.7% of the strains were successfully identified according to previously available manufacturer database. The remaining 32.3 % strains were not identified due to the absence of a reference spectrum. After matching the correct taxon for these strains by using molecular biology approaches, the spectra concerning the missing species were added in a supplementary database. This new library was able to accurately predict unidentified species at first instance by MALDI-TOF MS, proving it is a powerful tool for the identification of environmental yeasts.
650 $aMolecular biology
650 $aYeasts
650 $aBase de dados
650 $aBiologia molecular
650 $aGenética
650 $aLevedo
650 $aMicrorganismo
653 $aLevedura
653 $aMALDI-TOF MS
700 1 $aSILVA, L. P. da
700 1 $aBLOCH JUNIOR, C.
700 1 $aBONFIM, T. M. B.
700 1 $aSILVA, G. A. da
773 $tApplied Microbiology and Biotechnology$gv. 98, n. 12, p. 5645-5654, 2014.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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