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Registro Completo |
Biblioteca(s): |
Embrapa Cerrados; Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
13/09/2021 |
Data da última atualização: |
08/12/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MENDES, R. A. G.; BASSO, M. F.; ARAÚJO, J. F. de; MELO, B. P. de; LIMA, R. N.; RIBEIRO, T. P.; MATTOS, V. da S.; FREIRE, E. V. S. A.; GROSSI-DE-SA, M.; DESSAUNE, S. N.; FRAGOSO, R. da R.; SILVA, M. C. M. da; VIGNOLS, F.; FERNANDEZ, D.; SA, M. F. G. de. |
Afiliação: |
RENEIDA APARECIDA GODINHO MENDES, UNB; MARCOS FERNANDO BASSO; JANAINA FERNANDES DE ARAÚJO; BRUNO PAES DE MELO, UFV; RAYANE NUNES LIMA; THUANE PIRES RIBEIRO; VANESSA DA SILVA MATTOS; ERIKA VALERIA SALIBA ALBUQUERQUE FR, Cenargen; MAIRA GROSSI-DE-SA, Univ Montpellier, France; SUELEN NOGUEIRA DESSAUNE TAMEIRAO, CPAC; RODRIGO DA ROCHA FRAGOSO, CPAC; MARIA CRISTINA MATTAR DA SILVA, Cenargen; FLORENCE VIGNOLS, Université de Montpellier/SupAgro, France; DIANA FERNANDEZ, Univ Montpellier, France; MARIA FATIMA GROSSI DE SA, Cenargen. |
Título: |
Minc00344 and Mj-NULG1a effectors interact with GmHub10 protein to promote the soybean parasitism by Meloidogyne incognita and M. javanica. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Experimental Parasitology, v. 229, 108153, 2021. |
DOI: |
https://doi.org/10.1016/j.exppara.2021.108153 |
Idioma: |
Inglês |
Notas: |
Na publicação: Erika Valéria Saliba Albuquerque; Maria Fatima Grossi-de-Sa. |
Palavras-Chave: |
Effector; Nematode management; Plant-parasitic nematodes; Protein-protein interaction. |
Thesaurus Nal: |
RNA interference. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01208naa a2200361 a 4500 001 2136582 005 2021-12-08 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.exppara.2021.108153$2DOI 100 1 $aMENDES, R. A. G. 245 $aMinc00344 and Mj-NULG1a effectors interact with GmHub10 protein to promote the soybean parasitism by Meloidogyne incognita and M. javanica.$h[electronic resource] 260 $c2021 500 $aNa publicação: Erika Valéria Saliba Albuquerque; Maria Fatima Grossi-de-Sa. 650 $aRNA interference 653 $aEffector 653 $aNematode management 653 $aPlant-parasitic nematodes 653 $aProtein-protein interaction 700 1 $aBASSO, M. F. 700 1 $aARAÚJO, J. F. de 700 1 $aMELO, B. P. de 700 1 $aLIMA, R. N. 700 1 $aRIBEIRO, T. P. 700 1 $aMATTOS, V. da S. 700 1 $aFREIRE, E. V. S. A. 700 1 $aGROSSI-DE-SA, M. 700 1 $aDESSAUNE, S. N. 700 1 $aFRAGOSO, R. da R. 700 1 $aSILVA, M. C. M. da 700 1 $aVIGNOLS, F. 700 1 $aFERNANDEZ, D. 700 1 $aSA, M. F. G. de 773 $tExperimental Parasitology$gv. 229, 108153, 2021.
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Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
05/10/2011 |
Data da última atualização: |
03/05/2019 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
BOLFE, E. L.; BATISTELLA, M.; FERREIRA, M. C. |
Afiliação: |
EDSON LUIS BOLFE, CNPM; MATEUS BATISTELLA, CNPM; MARCOS CÉSAR FERREIRA, IG/UNICAMP. |
Título: |
Correlação entre carbono de sistemas agroflorestais e índices de vegetação. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011. |
Páginas: |
p. 1705-1712. |
Idioma: |
Português |
Conteúdo: |
The agroforestry systems (SAF) are an important strategy of land use, directed to the environment services, in special, to the carbon storage for the biomass. This paper presents activities developed with objective of aboveground biomass estimation (AGB) and the carbon storage (CS), existing in SAF in the Tomé-Açu, Pará, Brazil. The agroforestry data had been gotten by carried through inventory in 57 parcels show of 10x10 m. A tax of 1.424 was inventoried plants/ha, with DAP2,5 cm, pertaining the 29 families and 54 species. Considering it inherent joined variability to the structural and species information, the SAF had been divided in four classes (SAF 1, SAF 2, SAF 3 and SAF 4). For the estimate of the AGB, the indirect method, based was used in allometric equations. The AGB of the SAF was 89,10 Mgha-1 and CS was 43,21 MgCha-1 (2,83 for SAF 1; 18,85 for SAF 2; 36,58 for SAF 3 and 114,58 for SAF 4). The esteem values of CS for each class of SAF had been correlated the four vegetation index (Ratio Vegetation Index ? RS 5:3, Normalized Difference Vegetation Index ? ND 5:7, Transformed Soil Adjusted Vegetation Index 2 ?TSAVI 2 and Perpendicular Vegetation Index 3 ? PVI 3), having significant correlation with this index, indicating the possibility of the use of these pointers in the survey and the monitoring of the carbon in the region. |
Palavras-Chave: |
MDL; Processamento de imagem. |
Thesagro: |
Biomassa. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/42881/1/Bolfe2-SBSR.pdf
|
Marc: |
LEADER 01931nam a2200181 a 4500 001 1902395 005 2019-05-03 008 2011 bl uuuu u00u1 u #d 100 1 $aBOLFE, E. L. 245 $aCorrelação entre carbono de sistemas agroflorestais e índices de vegetação. 260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE$c2011 300 $ap. 1705-1712. 520 $aThe agroforestry systems (SAF) are an important strategy of land use, directed to the environment services, in special, to the carbon storage for the biomass. This paper presents activities developed with objective of aboveground biomass estimation (AGB) and the carbon storage (CS), existing in SAF in the Tomé-Açu, Pará, Brazil. The agroforestry data had been gotten by carried through inventory in 57 parcels show of 10x10 m. A tax of 1.424 was inventoried plants/ha, with DAP2,5 cm, pertaining the 29 families and 54 species. Considering it inherent joined variability to the structural and species information, the SAF had been divided in four classes (SAF 1, SAF 2, SAF 3 and SAF 4). For the estimate of the AGB, the indirect method, based was used in allometric equations. The AGB of the SAF was 89,10 Mgha-1 and CS was 43,21 MgCha-1 (2,83 for SAF 1; 18,85 for SAF 2; 36,58 for SAF 3 and 114,58 for SAF 4). The esteem values of CS for each class of SAF had been correlated the four vegetation index (Ratio Vegetation Index ? RS 5:3, Normalized Difference Vegetation Index ? ND 5:7, Transformed Soil Adjusted Vegetation Index 2 ?TSAVI 2 and Perpendicular Vegetation Index 3 ? PVI 3), having significant correlation with this index, indicating the possibility of the use of these pointers in the survey and the monitoring of the carbon in the region. 650 $aBiomassa 653 $aMDL 653 $aProcessamento de imagem 700 1 $aBATISTELLA, M. 700 1 $aFERREIRA, M. C.
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