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 | Acesso ao texto completo restrito à biblioteca da Epagri-Sede. Para informações adicionais entre em contato com biblio@epagri.sc.gov.br. |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
19/03/2003 |
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Data da última atualização: |
19/03/2003 |
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Autoria: |
AMORIM NETO, M.da S.; ARAUJO, A.E.de; CARAMORI, P.H.; GONCALVES, S.L.; WREGE, M.S.; LAZZAROTTO, C.; LAMAS, F.M.; SANS, L.M.A. |
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Título: |
Zoneamento agroecologico e definicao de epoca de semeadura do algodoeiro no Brasil. |
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Ano de publicação: |
2001 |
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Fonte/Imprenta: |
Revista Brasileira de Agrometeorologia, v.9, n.3, p.422-428, 2001. |
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Idioma: |
Português |
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Palavras-Chave: |
Algodao; Epoca de semeadura; Gassypium hirsutum; Risco climatico. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00699naa a2200241 a 4500
001 1023913
005 2003-03-19
008 2001 bl uuuu u00u1 u #d
100 1 $aAMORIM NETO, M.da S.
245 $aZoneamento agroecologico e definicao de epoca de semeadura do algodoeiro no Brasil.
260 $c2001
653 $aAlgodao
653 $aEpoca de semeadura
653 $aGassypium hirsutum
653 $aRisco climatico
700 1 $aARAUJO, A.E.de
700 1 $aCARAMORI, P.H.
700 1 $aGONCALVES, S.L.
700 1 $aWREGE, M.S.
700 1 $aLAZZAROTTO, C.
700 1 $aLAMAS, F.M.
700 1 $aSANS, L.M.A.
773 $tRevista Brasileira de Agrometeorologia$gv.9, n.3, p.422-428, 2001.
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
18/11/2022 |
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Data da última atualização: |
18/11/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
ATHAYDE, A. E.; ARAUJO, C. E. S.; SANDJO, L. P.; BIAVATTI, M. W. |
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Título: |
Metabolomic comparison between wild and cultivated Porophyllum ruderale Jacq. Cass (Asteraceae) using UPLCESI-QTof-MS technique. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: LATIN AMERICAN METABOLIC PROFILING SOCIETY MEETING, 4., 2022, Cartagena, Colombia. Abstracts... Cartagena, Colombia: LAMPS, 2022. |
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Idioma: |
Inglês |
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Conteúdo: |
Porophyllum ruderale Jacq. Cass (Asteraceae) is a non-convention edible plant found in south of Brazil with interesting and complex chemical profile. Objectives - Thus, the
present study phytochemically explore P. ruderale and compare individuals of wild and cultivated plant samples. Results: UPLC-ESI-QToF-MS technic afforded putatively
identification of 36 substances including mainly phenolic acids, fatty acids and chlorophyll derivatives. Of that, 21 substances were tentatively identified as diterpene
aminoglycoside wedeloside derivatives, described for the first time in P. ruderale. Designed for that, PCA (principal component analysis) and cluster analysis were used to
distinguish different metabolites among wild and cultivated P. ruderale samples, that were separated into well-defined groups. The principal components (PCs) of all detected
signals in positive mode (n=3846) where computed in order to reduce dimensionality and eliminate redundancy. The algorithm centered the data and used the singular value
decomposition (SVD) to compute the PCs. Working with the firsts 23 PCs, that explains more than 99% of the dataset variance, was built an hierarchical binary cluster tree.
A kmeans clustering algorithm was also used to check the clustering partitioning coherence.The optimum number of clusters for the k-means method was determined as eight
clusters. Conclusions - Finally, PC3 cumulative variance could explain more than 81% of the total data variance and the ions m/z 918, 920 and 962 influenced the PC3 cumulative
percent on 99%, 99%, 97% and 97%, respectively. These ions correspond to new skeletons of diterpene aminoglycosides, supported by tandem mass (MS2) fragmentation
profile. Future perspectives: Unequivocally elucidate the identified diterpene aminoglycoside wedeloside derivatives through chromatographic isolation, and fully
characterize those using spectrometric technics, especially NMR. MenosPorophyllum ruderale Jacq. Cass (Asteraceae) is a non-convention edible plant found in south of Brazil with interesting and complex chemical profile. Objectives - Thus, the
present study phytochemically explore P. ruderale and compare individuals of wild and cultivated plant samples. Results: UPLC-ESI-QToF-MS technic afforded putatively
identification of 36 substances including mainly phenolic acids, fatty acids and chlorophyll derivatives. Of that, 21 substances were tentatively identified as diterpene
aminoglycoside wedeloside derivatives, described for the first time in P. ruderale. Designed for that, PCA (principal component analysis) and cluster analysis were used to
distinguish different metabolites among wild and cultivated P. ruderale samples, that were separated into well-defined groups. The principal components (PCs) of all detected
signals in positive mode (n=3846) where computed in order to reduce dimensionality and eliminate redundancy. The algorithm centered the data and used the singular value
decomposition (SVD) to compute the PCs. Working with the firsts 23 PCs, that explains more than 99% of the dataset variance, was built an hierarchical binary cluster tree.
A kmeans clustering algorithm was also used to check the clustering partitioning coherence.The optimum number of clusters for the k-means method was determined as eight
clusters. Conclusions - Finally, PC3 cumulative variance could explain more than 81% of the total data variance and the ions m/z 918,... Mostrar Tudo |
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Thesagro: |
diterpene aminoglycosides; K-means analysis; Porophyllum ruderale; Principal Component Analysis; UPLC-ESI-QToF-MS. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02724naa a2200217 a 4500
001 1132780
005 2022-11-18
008 2022 bl uuuu u00u1 u #d
100 1 $aATHAYDE, A. E.
245 $aMetabolomic comparison between wild and cultivated Porophyllum ruderale Jacq. Cass (Asteraceae) using UPLCESI-QTof-MS technique.$h[electronic resource]
260 $c2022
520 $aPorophyllum ruderale Jacq. Cass (Asteraceae) is a non-convention edible plant found in south of Brazil with interesting and complex chemical profile. Objectives - Thus, the present study phytochemically explore P. ruderale and compare individuals of wild and cultivated plant samples. Results: UPLC-ESI-QToF-MS technic afforded putatively identification of 36 substances including mainly phenolic acids, fatty acids and chlorophyll derivatives. Of that, 21 substances were tentatively identified as diterpene aminoglycoside wedeloside derivatives, described for the first time in P. ruderale. Designed for that, PCA (principal component analysis) and cluster analysis were used to distinguish different metabolites among wild and cultivated P. ruderale samples, that were separated into well-defined groups. The principal components (PCs) of all detected signals in positive mode (n=3846) where computed in order to reduce dimensionality and eliminate redundancy. The algorithm centered the data and used the singular value decomposition (SVD) to compute the PCs. Working with the firsts 23 PCs, that explains more than 99% of the dataset variance, was built an hierarchical binary cluster tree. A kmeans clustering algorithm was also used to check the clustering partitioning coherence.The optimum number of clusters for the k-means method was determined as eight clusters. Conclusions - Finally, PC3 cumulative variance could explain more than 81% of the total data variance and the ions m/z 918, 920 and 962 influenced the PC3 cumulative percent on 99%, 99%, 97% and 97%, respectively. These ions correspond to new skeletons of diterpene aminoglycosides, supported by tandem mass (MS2) fragmentation profile. Future perspectives: Unequivocally elucidate the identified diterpene aminoglycoside wedeloside derivatives through chromatographic isolation, and fully characterize those using spectrometric technics, especially NMR.
650 $aditerpene aminoglycosides
650 $aK-means analysis
650 $aPorophyllum ruderale
650 $aPrincipal Component Analysis
650 $aUPLC-ESI-QToF-MS
700 1 $aARAUJO, C. E. S.
700 1 $aSANDJO, L. P.
700 1 $aBIAVATTI, M. W.
773 $tIn: LATIN AMERICAN METABOLIC PROFILING SOCIETY MEETING, 4., 2022, Cartagena, Colombia. Abstracts... Cartagena, Colombia: LAMPS, 2022.
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