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Registro Completo |
Biblioteca(s): |
Embrapa Soja. |
Data corrente: |
02/01/2020 |
Data da última atualização: |
12/12/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
BARRO, J. P.; MEYER, M. C.; GODOY, C. V.; DIAS, A. R.; UTIAMADA, C. M.; JACCOUD FILHO, D. de S.; WRUCK, D. S. M.; BORGES, E. P.; SIQUERI, F.; JULIATTI, F. C.; CAMPOS, H. D.; JUNIOR, J. N.; CARNEIRO, L. C.; DA SILVA, L. H. C. P.; MARTINS, M. C.; BALARDIN, R. S.; ZITO, R. K.; FURLAN, S. H.; VENANCIO, W. S; DEL PONTE, E. M. |
Afiliação: |
Universidade Federal de Voçosa, Viçosa, MG; MAURICIO CONRADO MEYER, CNPSO; CLAUDIA VIEIRA GODOY, CNPSO; Fundação Chapadão, Chapadão do Sul, MS; TAGRO, Londrina, PR; UEPG, Ponta Grossa, PR; DULANDULA SILVA MIGUEL WRUCK, CPAMT; Fundação Chapadão, Chapadão do Sul, MS; Fundação Mato Grosso, Rondonópolis, MT.; Universidade Federal de Uberlândia, Uberlândia, MG.; Universidade de Rio Verde, Rio Verde, GO.; Centro Tecnológico para Pesquisas Agropecuárias,Goiânia, GO; Universidade Federal de Goiás, Jataí , GO.; AgroCarregal, Rio Verde, GO.; Círculo Verde Assessoria Agronômica e Pesquisa, Luís Eduardo Magalhães, BA.; Universidade Federal de Santa Maria, Santa Maria, RS.; ROBERTO KAZUHIKO ZITO, CNPSO; Instituto Biológico, São Paulo, SP.; CWR Pesquisa Agrícola, Ponta Grossa, PR.; Universidade Federal de Voçosa, Viçosa, MG. |
Título: |
Performance and Profitability of Fungicides for Managing Soybean White Mold:A 10-Year Summary of Cooperative Trials |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Plant Disease, v. 103, n. 9, p. 2212-2220, 2019. |
DOI: |
https://doi.org/10.1094/PDIS-10-18-1760-RE |
Idioma: |
Inglês |
Thesagro: |
Colheita; Controle Químico; Impacto Econômico. |
Thesaurus Nal: |
Chemical control; Disease control; Economic impact; Field crops; Fungi; Legumes; Oilseeds; Yields. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 01365naa a2200481 a 4500 001 2117961 005 2020-12-12 008 2019 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1094/PDIS-10-18-1760-RE$2DOI 100 1 $aBARRO, J. P. 245 $aPerformance and Profitability of Fungicides for Managing Soybean White Mold$bA 10-Year Summary of Cooperative Trials$h[electronic resource] 260 $c2019 650 $aChemical control 650 $aDisease control 650 $aEconomic impact 650 $aField crops 650 $aFungi 650 $aLegumes 650 $aOilseeds 650 $aYields 650 $aColheita 650 $aControle Químico 650 $aImpacto Econômico 700 1 $aMEYER, M. C. 700 1 $aGODOY, C. V. 700 1 $aDIAS, A. R. 700 1 $aUTIAMADA, C. M. 700 1 $aJACCOUD FILHO, D. de S. 700 1 $aWRUCK, D. S. M. 700 1 $aBORGES, E. P. 700 1 $aSIQUERI, F. 700 1 $aJULIATTI, F. C. 700 1 $aCAMPOS, H. D. 700 1 $aJUNIOR, J. N. 700 1 $aCARNEIRO, L. C. 700 1 $aDA SILVA, L. H. C. P. 700 1 $aMARTINS, M. C. 700 1 $aBALARDIN, R. S. 700 1 $aZITO, R. K. 700 1 $aFURLAN, S. H. 700 1 $aVENANCIO, W. S 700 1 $aDEL PONTE, E. M. 773 $tPlant Disease$gv. 103, n. 9, p. 2212-2220, 2019.
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Embrapa Soja (CNPSO) |
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Registro Completo
Biblioteca(s): |
Embrapa Café. |
Data corrente: |
21/12/2017 |
Data da última atualização: |
26/12/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
IVAMOTO, S. T.; REIS JÚNIOR, O.; DOMINGUES, D. S.; SANTOS, T. B. dos; OLIVEIRA, F. F. de; POT, D.; LEROY, T.; VIEIRA, L. G. E.; CARAZZOLLE, M. F.; PEREIRA, G. A. G.; PEREIRA, L. F. P. |
Afiliação: |
Suzana Tiemi Ivamoto, Programa de Pós-Graduação em Genética e Biologia Molecular/Centro de Ciências Bioloógicas/Universidade Estadual de Londrina - UEL; Osvaldo Reis Júnior, Laboratório de Genômica e Expressão/Departamento de Genética/Evolução e Bioagentes/Instituto de Biologia/Universidade Estadual de Campinas - UNICAMP; Douglas Silva Domingues, Departamento de Botânica/Instituto de Biociências de Rio Claro, Universidade Estadual Paulista - UNESP; Tiago Benedito dos Santos, Laboratório de Biotecnologia Vegetal/Instituto Agronômico do Paraná -IAPAR; Fernanda Freitas de Oliveira, Laboratório de Biotecnologia Vegetal/Instituto Agronômico do Paraná -IAPAR; David Pot, CIRAD/UMR AGAP; Thierry Leroy, CIRAD/UMR AGAP; Luiz Gonzaga Esteves Vieira, Programa de Pós Graduação em Agronomia/Universidade do Oeste Paulista - UNOESTE; Marcelo Falsarella Carazzolle, Laboratório de Genômica e Expressão/Departamento de Genética/Evolução e Bioagentes/Instituto de Biologia/Universidade Estadual de Campinas - UNICAMP; Gonçalo Amarante Guimarães Pereira, Laboratório de Genômica e Expressão/Departamento de Genética/Evolução e Bioagentes/Instituto de Biologia/Universidade Estadual de Campinas - UNICAMP; LUIZ FILIPE PROTASIO PEREIRA, SAPC. |
Título: |
Transcriptome Analysis of Leaves, Flowers and Fruits Perisperm of Coffea arabica L. Reveals the Differential Expression of Genes Involved in Raffinose Biosynthesis. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
PLOS ONE, January 2017. |
Idioma: |
Inglês |
Conteúdo: |
Coffea arabica L. is an important crop in several developing countries. Despite its economic importance, minimal transcriptome data are available for fruit tissues, especially during fruit development where several compounds related to coffee quality are produced. To understand the molecular aspects related to coffee fruit and grain development, we report a largescale transcriptome analysis of leaf, flower and perisperm fruit tissue development. Illumina sequencing yielded 41,881,572 high-quality filtered reads. De novo assembly generated 65,364 unigenes with an average length of 1,264 bp. A total of 24,548 unigenes were annotated as protein coding genes, including 12,560 full-length sequences. In the annotation process, we identified nine candidate genes related to the biosynthesis of raffinose family oligossacarides (RFOs). These sugars confer osmoprotection and are accumulated during initial fruit development. Four genes from this pathway had their transcriptional pattern validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Furthermore, we identified ~24,000 putative target sites for microRNAs (miRNAs) and 134 putative transcriptionally active transposable elements (TE) sequences in our dataset. This C. arabica transcriptomic atlas provides an important step for identifying candidate genes related to several coffee metabolic pathways, especially those related to fruit chemical composition and therefore beverage quality. Our results are the starting point for enhancing our knowledge about the coffee genes that are transcribed during the flowering and initial fruit development stages. MenosCoffea arabica L. is an important crop in several developing countries. Despite its economic importance, minimal transcriptome data are available for fruit tissues, especially during fruit development where several compounds related to coffee quality are produced. To understand the molecular aspects related to coffee fruit and grain development, we report a largescale transcriptome analysis of leaf, flower and perisperm fruit tissue development. Illumina sequencing yielded 41,881,572 high-quality filtered reads. De novo assembly generated 65,364 unigenes with an average length of 1,264 bp. A total of 24,548 unigenes were annotated as protein coding genes, including 12,560 full-length sequences. In the annotation process, we identified nine candidate genes related to the biosynthesis of raffinose family oligossacarides (RFOs). These sugars confer osmoprotection and are accumulated during initial fruit development. Four genes from this pathway had their transcriptional pattern validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Furthermore, we identified ~24,000 putative target sites for microRNAs (miRNAs) and 134 putative transcriptionally active transposable elements (TE) sequences in our dataset. This C. arabica transcriptomic atlas provides an important step for identifying candidate genes related to several coffee metabolic pathways, especially those related to fruit chemical composition and therefore beverage quality. Our results are the ... Mostrar Tudo |
Thesagro: |
Coffea Arábica. |
Thesaurus NAL: |
Biosynthesis; Knowledge; Raffinose. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/169661/1/Transcriptome-analysis-of-leaves-flowers.pdf
|
Marc: |
LEADER 02512naa a2200289 a 4500 001 2083340 005 2017-12-26 008 2017 bl uuuu u00u1 u #d 100 1 $aIVAMOTO, S. T. 245 $aTranscriptome Analysis of Leaves, Flowers and Fruits Perisperm of Coffea arabica L. Reveals the Differential Expression of Genes Involved in Raffinose Biosynthesis.$h[electronic resource] 260 $c2017 520 $aCoffea arabica L. is an important crop in several developing countries. Despite its economic importance, minimal transcriptome data are available for fruit tissues, especially during fruit development where several compounds related to coffee quality are produced. To understand the molecular aspects related to coffee fruit and grain development, we report a largescale transcriptome analysis of leaf, flower and perisperm fruit tissue development. Illumina sequencing yielded 41,881,572 high-quality filtered reads. De novo assembly generated 65,364 unigenes with an average length of 1,264 bp. A total of 24,548 unigenes were annotated as protein coding genes, including 12,560 full-length sequences. In the annotation process, we identified nine candidate genes related to the biosynthesis of raffinose family oligossacarides (RFOs). These sugars confer osmoprotection and are accumulated during initial fruit development. Four genes from this pathway had their transcriptional pattern validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Furthermore, we identified ~24,000 putative target sites for microRNAs (miRNAs) and 134 putative transcriptionally active transposable elements (TE) sequences in our dataset. This C. arabica transcriptomic atlas provides an important step for identifying candidate genes related to several coffee metabolic pathways, especially those related to fruit chemical composition and therefore beverage quality. Our results are the starting point for enhancing our knowledge about the coffee genes that are transcribed during the flowering and initial fruit development stages. 650 $aBiosynthesis 650 $aKnowledge 650 $aRaffinose 650 $aCoffea Arábica 700 1 $aREIS JÚNIOR, O. 700 1 $aDOMINGUES, D. S. 700 1 $aSANTOS, T. B. dos 700 1 $aOLIVEIRA, F. F. de 700 1 $aPOT, D. 700 1 $aLEROY, T. 700 1 $aVIEIRA, L. G. E. 700 1 $aCARAZZOLLE, M. F. 700 1 $aPEREIRA, G. A. G. 700 1 $aPEREIRA, L. F. P. 773 $tPLOS ONE, January 2017.
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