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 | Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
26/11/2014 |
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Data da última atualização: |
07/04/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
HOSSAIN, M. M.; AKAMATSU, H.; MORISHITA, M.; MORI, T.; YAMAOKA, Y.; SUENAGA, K.; SOARES, R. M.; BOGADO, A. N.; IVANCOVICH, A. J. G.; YAMANAKA, N. |
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Afiliação: |
JIRCAS; JIRCAS; JIRCAS; JIRCAS; Faculty of Life and Environmental Sciences, University of Tsukuba; Faculty of Life and Environmental Sciences, University of Tsukuba; RAFAEL MOREIRA SOARES, CNPSO; CICM/IPTA; INTA - EEA Pergamino; JIRCAS. |
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Título: |
Molecular mapping of Asian soybean rust resistance in soybean landraces PI 594767A, PI 587905 and PI 416764. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Plant Pathology, London, v. 64, n. 1, p. 147-156, 2015. |
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DOI: |
10.1111/ppa.12226 |
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Idioma: |
Inglês |
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Conteúdo: |
Asian soybean rust (ASR), caused by Phakopsora pachyrhizi, is one of the most serious diseases of soybean. The soybean landraces PI 594767A, PI 587905 and PI 416764 previously showed high levels of resistance to a wide range of ASR fungus, while the genetic basis of the resistance has yet to be understood. In this study, the ASR resistance loci were mapped using three independent mapping populations, POP-1, POP-2 and POP-3 derived from crosses BRS184 × PI 594767A, BRS184 × PI 587905 and BRS184 × PI 416764, respectively. In each population, the resistance to ASR segregated as a single gene, but the resistance was dominant in PI 594767A and PI 587905 and incompletely dominant in PI 416764. The resistance genes from both PI 594767A and PI 587905 were mapped on chromosome 18 corresponding to the same location as known resistance locus Rpp1. Quantitative trait locus (QTL) analysis performed on POP-3 identified the putative ASR resistance locus in PI 416764 on the defined region of chromosome 6 where Rpp3 was located. The QTLs detected by the mapping explained about 67?72% of the phenotypic variation in POP-3. Cluster analysis based on disease reactions to 64 ASR populations demonstrated the presence of at least two types of functional resistant Rpp1 alleles: strong and weak allele(s), e.g. soybean accession PI 594767A and PI 587905 carry the strong resistant Rpp1 allele(s). Introducing or pyramiding strong Rpp1 allele(s) in elite soybean cultivars is expected to be useful against the South American rust population. MenosAsian soybean rust (ASR), caused by Phakopsora pachyrhizi, is one of the most serious diseases of soybean. The soybean landraces PI 594767A, PI 587905 and PI 416764 previously showed high levels of resistance to a wide range of ASR fungus, while the genetic basis of the resistance has yet to be understood. In this study, the ASR resistance loci were mapped using three independent mapping populations, POP-1, POP-2 and POP-3 derived from crosses BRS184 × PI 594767A, BRS184 × PI 587905 and BRS184 × PI 416764, respectively. In each population, the resistance to ASR segregated as a single gene, but the resistance was dominant in PI 594767A and PI 587905 and incompletely dominant in PI 416764. The resistance genes from both PI 594767A and PI 587905 were mapped on chromosome 18 corresponding to the same location as known resistance locus Rpp1. Quantitative trait locus (QTL) analysis performed on POP-3 identified the putative ASR resistance locus in PI 416764 on the defined region of chromosome 6 where Rpp3 was located. The QTLs detected by the mapping explained about 67?72% of the phenotypic variation in POP-3. Cluster analysis based on disease reactions to 64 ASR populations demonstrated the presence of at least two types of functional resistant Rpp1 alleles: strong and weak allele(s), e.g. soybean accession PI 594767A and PI 587905 carry the strong resistant Rpp1 allele(s). Introducing or pyramiding strong Rpp1 allele(s) in elite soybean cultivars is expected to be useful against... Mostrar Tudo |
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Palavras-Chave: |
Genetic mapping; Pathogenic diversity; QTL analysis. |
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Thesagro: |
Phakopsora Pachyrhizi. |
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Thesaurus Nal: |
cluster analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02423naa a2200301 a 4500
001 2000961
005 2022-04-07
008 2015 bl uuuu u00u1 u #d
024 7 $a10.1111/ppa.12226$2DOI
100 1 $aHOSSAIN, M. M.
245 $aMolecular mapping of Asian soybean rust resistance in soybean landraces PI 594767A, PI 587905 and PI 416764.$h[electronic resource]
260 $c2015
520 $aAsian soybean rust (ASR), caused by Phakopsora pachyrhizi, is one of the most serious diseases of soybean. The soybean landraces PI 594767A, PI 587905 and PI 416764 previously showed high levels of resistance to a wide range of ASR fungus, while the genetic basis of the resistance has yet to be understood. In this study, the ASR resistance loci were mapped using three independent mapping populations, POP-1, POP-2 and POP-3 derived from crosses BRS184 × PI 594767A, BRS184 × PI 587905 and BRS184 × PI 416764, respectively. In each population, the resistance to ASR segregated as a single gene, but the resistance was dominant in PI 594767A and PI 587905 and incompletely dominant in PI 416764. The resistance genes from both PI 594767A and PI 587905 were mapped on chromosome 18 corresponding to the same location as known resistance locus Rpp1. Quantitative trait locus (QTL) analysis performed on POP-3 identified the putative ASR resistance locus in PI 416764 on the defined region of chromosome 6 where Rpp3 was located. The QTLs detected by the mapping explained about 67?72% of the phenotypic variation in POP-3. Cluster analysis based on disease reactions to 64 ASR populations demonstrated the presence of at least two types of functional resistant Rpp1 alleles: strong and weak allele(s), e.g. soybean accession PI 594767A and PI 587905 carry the strong resistant Rpp1 allele(s). Introducing or pyramiding strong Rpp1 allele(s) in elite soybean cultivars is expected to be useful against the South American rust population.
650 $acluster analysis
650 $aPhakopsora Pachyrhizi
653 $aGenetic mapping
653 $aPathogenic diversity
653 $aQTL analysis
700 1 $aAKAMATSU, H.
700 1 $aMORISHITA, M.
700 1 $aMORI, T.
700 1 $aYAMAOKA, Y.
700 1 $aSUENAGA, K.
700 1 $aSOARES, R. M.
700 1 $aBOGADO, A. N.
700 1 $aIVANCOVICH, A. J. G.
700 1 $aYAMANAKA, N.
773 $tPlant Pathology, London$gv. 64, n. 1, p. 147-156, 2015.
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Registro original: |
Embrapa Soja (CNPSO) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
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Registro Completo
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
27/08/2014 |
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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: |
WELKE, J. E.; ZANUS, M. C.; LAZZAROTTO, M.; ZINI, C. A. |
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Afiliação: |
Juliane Elisa Welke; MAURO CELSO ZANUS, CNPUV; MARCELO LAZZAROTTO, CNPF; Cláudia Alcaraz Zini. |
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Título: |
Quantitative analysis of headspace volatile compounds using comprehensive two-dimensional gas chromatography and their contribution to the aroma of Chardonnay wine. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Food Research International, v. 59, p. 85-99, 2014. |
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Idioma: |
Português |
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Notas: |
DOI 10.1016/j.foodres.2014.02.002 |
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Conteúdo: |
The quantitative determination of volatile compounds of Chardonnay wines using HS-SPME-GC × GC/TOFMS along with the determination of odor activity value (OAV) and relative odor contribution (ROC) of volatiles are reported for the first time. The use of GC × GC/TOFMS for the analysis of Chardonnay wine of Serra Gaucha resulted in the tentative identification of 243 compounds, showing the superior performance of this analytical technique for this specific varietal wine, considering that the number of compounds usually separated by 1D-GC for this type of wine is lower. Furthermore, 42 compounds co-eluted in the first dimension and 34 of them were separated in the second dimension, while the others were resolved by spectral deconvolution (8), which indicates that the conventional 1D-GC/MS may result in misleading results. The calculation of OAV and ROC allowed the determination of the volatile compounds that presented the greater contribution to wine aroma. Ethyl octanoate, ethyl hexanoate, ethyl butanoate, and beta-damascenone showed the highest OAV and ROC values, although other 43 compounds showed also potential to contribute to wine aroma. Figures of merit of the developed method were: accuracies from 92.4 to 102.6%, repeatability from 1.2% to 13.4%, LOD from 0.001 ?g L?1 (ethyl isovalerate and hexanoic acid) to 2.554 ?g L?1 (ethyl 3-hydroxybutanoate), LOQ from 0.003 ?g L?1 (ethyl isovalerate and hexanoic acid) to 7.582 ?g L?1 (ethyl 3-hydroxybutanoate). |
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Palavras-Chave: |
Chardonnay; Odor activity value; Relative odor contribution. |
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Thesagro: |
Aroma; Cromatografia gasosa; Vinho. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/107375/1/Welke2014-Aroma-Chardonnay.pdf
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Marc: |
LEADER 02266naa a2200241 a 4500
001 1993557
005 2019-04-02
008 2014 bl uuuu u00u1 u #d
100 1 $aWELKE, J. E.
245 $aQuantitative analysis of headspace volatile compounds using comprehensive two-dimensional gas chromatography and their contribution to the aroma of Chardonnay wine.$h[electronic resource]
260 $c2014
500 $aDOI 10.1016/j.foodres.2014.02.002
520 $aThe quantitative determination of volatile compounds of Chardonnay wines using HS-SPME-GC × GC/TOFMS along with the determination of odor activity value (OAV) and relative odor contribution (ROC) of volatiles are reported for the first time. The use of GC × GC/TOFMS for the analysis of Chardonnay wine of Serra Gaucha resulted in the tentative identification of 243 compounds, showing the superior performance of this analytical technique for this specific varietal wine, considering that the number of compounds usually separated by 1D-GC for this type of wine is lower. Furthermore, 42 compounds co-eluted in the first dimension and 34 of them were separated in the second dimension, while the others were resolved by spectral deconvolution (8), which indicates that the conventional 1D-GC/MS may result in misleading results. The calculation of OAV and ROC allowed the determination of the volatile compounds that presented the greater contribution to wine aroma. Ethyl octanoate, ethyl hexanoate, ethyl butanoate, and beta-damascenone showed the highest OAV and ROC values, although other 43 compounds showed also potential to contribute to wine aroma. Figures of merit of the developed method were: accuracies from 92.4 to 102.6%, repeatability from 1.2% to 13.4%, LOD from 0.001 ?g L?1 (ethyl isovalerate and hexanoic acid) to 2.554 ?g L?1 (ethyl 3-hydroxybutanoate), LOQ from 0.003 ?g L?1 (ethyl isovalerate and hexanoic acid) to 7.582 ?g L?1 (ethyl 3-hydroxybutanoate).
650 $aAroma
650 $aCromatografia gasosa
650 $aVinho
653 $aChardonnay
653 $aOdor activity value
653 $aRelative odor contribution
700 1 $aZANUS, M. C.
700 1 $aLAZZAROTTO, M.
700 1 $aZINI, C. A.
773 $tFood Research International$gv. 59, p. 85-99, 2014.
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