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| Registros recuperados : 9 | |
| 3. |  | FALAVGNA, V. da S.; PORTO, D. D.; MIOTTO, Y. E.; SANTOS, H. P. dos; OLIVEIRA, P. R. D. de; PINHEIRO, M M.; GIANCARLO PASQUALI, G.; REVERS, L. F. Evolutionary diversification of galactinol synthases in Rosaceae: adaptive roles of galactinol and raffinose during apple bud dormancy. Journal of Experimental Botany, v. 69, n. 5, p. 1247- 1259, 2018.| Biblioteca(s): Embrapa Semiárido; Embrapa Uva e Vinho. |
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| 4. | | CABREIRA, C.; CAGLIARI, A.; BÜCKER-NETO, L.; WIEBKE-STROHM, B.; FREITAS, L. B. de; MARCELINO-GUIMARÃES, F. C.; NEPOMUCENO, A. L.; MARGIS-PINHEIRO, M. M. A. N.; BODANESE-ZANETTINI, M. H. The lesion simulating disease (LSD) gene family as a variable in soybean response to Phakopsora pachyrhizi infection and dehydration. Functional & Integrative Genomics, v. 13, n. 3, p. 323-338, Aug. 2013.| Biblioteca(s): Embrapa Soja. |
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| 5. | | OSCO, L. P.; NOGUEIRA, K.; RAMOS, A. P. M.; PINHEIRO, M. M. F.; FURUYA, D. E. G.; GONÇALVES, W. N.; JORGE, L. A. de C.; MARCATO JUNIOR, J.; SANTOS, J. A. Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery. Precision Agriculture, v. 22, n. 4,2021. 1171-1188| Biblioteca(s): Embrapa Instrumentação. |
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| 6. | | FURUYA, D. E. G.; MA, L.; PINHEIRO, M. M. F.; GOMES, F. D. G.; GONÇALVEZ, W. N.; MARCATO JUNIOR, J.; RODRIGUES, D. de C.; BLASSIOLI- MORAES, M. C.; MICHEREFF, M. F. F.; BORGES, M.; ALAUMANN, R. A.; FERREIRA, E. J.; OSCO, L. P.; RAMOS, A. P. M.; LI, J.; JORGE, L. A. de C. Prediction of insect-herbivory-damage and insect-type attack in maize plants using hyperspectral data. International Journal of Applied Earth Observation and Geoinformation, v. 105, 102608, 2021. 1 - 10| Biblioteca(s): Embrapa Instrumentação. |
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| 7. | | FURUYA, D. E. G.; MA, L.; PINHEIRO, M. M. F.; GOMES, F. D. G.; GONÇALVEZ, W. N.; MARCATO JUNIOR, J.; RODRIGUES, D. de C.; BLASSIOLI- MORAES, M. C.; MICHEREFF, M. F. F.; BORGES, M.; LAUMANN, R. A.; FERREIRA, E. J.; OSCO, L. P.; RAMOS, A. P. M.; LI, J.; JORGE, L. A. de C. Prediction of insect-herbivory-damage and insect-type attack in maize plants using hyperspectral data. International Journal of Applied Earth Observation and Geoinformation, v. 105, 102608, 2021. 1 - 10| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 8. | | RAMOS, A. P. M.; GOMES, F. D. G.; PINHEIRO, M. M. F.; FURUYA, D. E. G.; GONÇALVEZ, W. N.; MARCATO JUNIOR, J.; MICHEREFF, M. F. F.; MORAES, M. C. B.; BORGES, M.; LAUMANN, R. A.; LIESENBERG, V.; JORGE, L. A. de C.; OSCO, L. P. Detecting the attack of the fall armyworm (Spodoptera frugiperda) in cotton plants with machine learning and spectral measurements. Precision Agriculture, 2021. Na publicação: Maria Carolina Blassioli-Moraes; Raúl Alberto Alaumann.| Biblioteca(s): Embrapa Instrumentação; Embrapa Recursos Genéticos e Biotecnologia. |
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| 9. | | OSCO, L. P.; RAMOS, A. P. M.; PINHEIRO, M. M. F.; MORIYA, E. A. S.; IMAI, N. N.; ESTRABIS, N.; IANCZYK, F.; ARAÚJO, F. F.; LIESENBERG, V.; JORGE, L. A. de C.; LI, J.; MA, L.; GONÇALVES, W. N.; MARCATO JUNIOR, J.; CRESTE, J. E. A machine learning framework to predict nutrient content in valencia-orange leaf hyperspectral measurements. Remote Sensing, n. 12, v. 6, a. 906, 2020. 1 - 21| Biblioteca(s): Embrapa Instrumentação. |
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| Registros recuperados : 9 | |
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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. |
Registro Completo
|
Biblioteca(s): |
Embrapa Soja. |
|
Data corrente: |
11/07/2013 |
|
Data da última atualização: |
28/11/2013 |
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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: |
CABREIRA, C.; CAGLIARI, A.; BÜCKER-NETO, L.; WIEBKE-STROHM, B.; FREITAS, L. B. de; MARCELINO-GUIMARÃES, F. C.; NEPOMUCENO, A. L.; MARGIS-PINHEIRO, M. M. A. N.; BODANESE-ZANETTINI, M. H. |
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Afiliação: |
CAROLINE CABREIRA, UFRGS; ALEXANDRO CAGLIARI, UFRGS; LAURO BÜCKER-NETO, UFRGS; BEATRIZ WIEBKE-STROHM, UFRGS; LORETA B. DE FREITAS, UFRGS; FRANCISMAR CORREA MARCELINO-GUIMARÃES, CNPSO; ALEXANDRE LIMA NEPOMUCENO, SRI; MÁRCIA M. A. N. MARGIS-PINHEIRO, UFRGS; MARIA H. BODANESE-ZANETTINI, UFRGS. |
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Título: |
The lesion simulating disease (LSD) gene family as a variable in soybean response to Phakopsora pachyrhizi infection and dehydration. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Functional & Integrative Genomics, v. 13, n. 3, p. 323-338, Aug. 2013. |
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DOI: |
10.1007/s10142-013-0326-3 |
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Idioma: |
Inglês |
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Conteúdo: |
The Lesion Simulating Disease (LSD) genes encode a family of zinc finger proteins that are reported to play an important role in the hypersensitive response and programmed cell death (PCD) that are caused by biotic and abiotic stresses. In the present study, 117 putative LSD family members were identified in Viridiplantae. Genes with one, two, or three conserved LSD domains were identified. Proteins with three LSD domains were highly represented in the species analyzed and were present in basal organisms. Proteins with two LSD domains were identified only in the Embryophyte clade, and proteins possessing one LSD domain were highly represented in grass species. Expression analyses of Glycine max LSD (GmLSD) genes were performed by real-time quantitative polymerase chain reaction. The results indicated that GmLSD genes are not ubiquitously expressed in soybean organs and that their expression patterns are instead organ-dependent. The expression of the majority of GmLSD genes is modulated in soybean during Phakopsora pachyrhizi infection. In addition, the expression of some GmLSD genes is modulated in plants under dehydration stress. These results suggest the involvement of GmLSD genes in the response of soybean to both biotic and abiotic stresses. |
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Thesagro: |
Doença de planta; Soja. |
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Thesaurus NAL: |
Plant diseases and disorders; Soybeans. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
|
Marc: |
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008 2013 bl uuuu u00u1 u #d
024 7 $a10.1007/s10142-013-0326-3$2DOI
100 1 $aCABREIRA, C.
245 $aThe lesion simulating disease (LSD) gene family as a variable in soybean response to Phakopsora pachyrhizi infection and dehydration.$h[electronic resource]
260 $c2013
520 $aThe Lesion Simulating Disease (LSD) genes encode a family of zinc finger proteins that are reported to play an important role in the hypersensitive response and programmed cell death (PCD) that are caused by biotic and abiotic stresses. In the present study, 117 putative LSD family members were identified in Viridiplantae. Genes with one, two, or three conserved LSD domains were identified. Proteins with three LSD domains were highly represented in the species analyzed and were present in basal organisms. Proteins with two LSD domains were identified only in the Embryophyte clade, and proteins possessing one LSD domain were highly represented in grass species. Expression analyses of Glycine max LSD (GmLSD) genes were performed by real-time quantitative polymerase chain reaction. The results indicated that GmLSD genes are not ubiquitously expressed in soybean organs and that their expression patterns are instead organ-dependent. The expression of the majority of GmLSD genes is modulated in soybean during Phakopsora pachyrhizi infection. In addition, the expression of some GmLSD genes is modulated in plants under dehydration stress. These results suggest the involvement of GmLSD genes in the response of soybean to both biotic and abiotic stresses.
650 $aPlant diseases and disorders
650 $aSoybeans
650 $aDoença de planta
650 $aSoja
700 1 $aCAGLIARI, A.
700 1 $aBÜCKER-NETO, L.
700 1 $aWIEBKE-STROHM, B.
700 1 $aFREITAS, L. B. de
700 1 $aMARCELINO-GUIMARÃES, F. C.
700 1 $aNEPOMUCENO, A. L.
700 1 $aMARGIS-PINHEIRO, M. M. A. N.
700 1 $aBODANESE-ZANETTINI, M. H.
773 $tFunctional & Integrative Genomics$gv. 13, n. 3, p. 323-338, Aug. 2013.
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