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| 4. |  | THOMAZI, H.; SANTOS, A. F. dos; DUARTE, H. S. S.; BUHRER, C. de B.; MACHADO, E. B. Caracterização sintomatológica da roseliniose em álamo. In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 48.; CONGRESSO BRASILEIRO DE PATOLOGIA PÓS-COLHEITA, 2., 2015, São Pedro. Fitopatologia de precisão: fronteiras da ciência: anais. [S.l.]: Sociedade Brasileira de Fitopatologia, 2015. CD-ROM.| Biblioteca(s): Embrapa Florestas. |
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| 5. | | FRANCESCHI, V. T.; ALVES, K. S.; MAZARO, S. M.; GODOY, C. V.; DUARTE, H. S. S.; DEL PONTE, E. M. A new standard area diagram set for assessment of severity of soybean rust improves accuracy of estimates and optimizes resource use. Plant Pathology, v. 60, n. 3, p. 495-505, 2020.| Biblioteca(s): Embrapa Soja. |
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| 6. | | ROMA, R. C. C.; RODRIGUES, F. A.; PRABHU, A. S.; DIAS, D. C. F. S.; DHINGRA, O. D.; DUARTE, H. S. S.; PEREIRA, O. L. Diversidade de fungos associados a manchas em sementes de arroz irrigado com aplicação de silicato de cálcio e de cinza de casca de arroz. Tropical Plant Pathology, Brasília, DF, v. 35, p. S264, ago. 2010. Suplemento, ref. 10.070. Edição dos resumos do XLIII Congresso Brasileiro de Fitopatologia, Cuiabá, ago. 2010.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 7. | | CAPUCHO, A. S.; ZAMBOLIM, L.; DUARTE, H. S. S.; PARREIRA, D. F.; FERREIRA, P. A.; LANZA, F. E.; COSTA, R. V. da; CASELA, C. R.; COTA, L. V. Influence of leaf position that correspond to whole plant severity and diagrammatic scale for white spot of corn. Crop Protection, Surrey, v. 29, n. 9, p. 1015-1020, 2010.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 8. | | ZAMBOLIM, L.; CÁSSIA, R. M.; PICANÇO, M. C.; MANTONVANI, E. C.; QUEIROZ, M. E.; SOUZA, D. O.; BITTENCORT, L.; DUARTE, H. S. S.; PALOCCI NETO, O.; RIBEIRO, J. D. R.; PADUA, J. G. Produção integrada de batata. In: PRODUÇÃO integrada no Brasil: agropecuária sustentável alimentos seguros. Brasília, DF: MAPA/ACS, 2008/2009. p. 261-328.| Biblioteca(s): Embrapa Hortaliças. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
05/08/2010 |
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Data da última atualização: |
04/06/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
CAPUCHO, A. S.; ZAMBOLIM, L.; DUARTE, H. S. S.; PARREIRA, D. F.; FERREIRA, P. A.; LANZA, F. E.; COSTA, R. V. da; CASELA, C. R.; COTA, L. V. |
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Afiliação: |
ALEXANDRE SANDRI CAPUCHO, UFV; LAERCIO ZAMBOLIM, UFV; HENRIQUE DA SILVA SILVEIRA DUARTE, UFV; DOUGLAS FERREIRA PARREIRA, UFV; UFV; FABRICIO EUSTAQUIO LANZA, UFV; RODRIGO VERAS DA COSTA, CNPMS; CARLOS ROBERTO CASELA, Pesquisador Aposentado CNPMS; LUCIANO VIANA COTA, CNPMS. |
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Título: |
Influence of leaf position that correspond to whole plant severity and diagrammatic scale for white spot of corn. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
Crop Protection, Surrey, v. 29, n. 9, p. 1015-1020, 2010. |
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DOI: |
10.1016/j.cropro.2010.04.012 |
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Idioma: |
Inglês |
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Conteúdo: |
The main objective of this research is to determine the influence of leaf position on corn plants with white spot caused by Pantoea ananatis, which better represents the infection on the whole plant. A diagrammatic scale to quantify the severity of the disease was elaborated and validated. For scale elaboration, the minimal and maximal limits of the disease severity observed in the field were considered, and intermediate levels followed logarithmic increments according to the Weber?Fechner stimulation law. The scale has nine classes: 0.1, 1, 2, 4, 8, 16, 24, 32 and 64%. For scale evaluation, a severity evaluation for white spot was performed by 10 raters with no experience in disease evaluation. Initially, severity estimation was performed without a scale for 41 leaves with different levels of severity. Afterward, the same raters used the proposed diagrammatic scale. Through linear regression to compare the actual and estimate severity values, the raters? accuracy and precision were analyzed. Satisfactory accuracy and precision were achieved when estimation was performed with a diagrammatic scale. To determine the best leaf disease severity evaluation, correlation and regression analyses were performed with 25 plants of five genotypes, for a total of 284 leaves analyzed. Results analysis leads us to conclude that the severity of white spot on corn plants significantly correlates with the disease mean severity of leaves 0 and -1, i.e., a leaf of the corn ear and the one immediately below it. This scale provided good levels of accuracy and precision (a mean R2 of 94%), with errors concentrating around 10%. Raters presented increased reproducibility (R2 > 90% in 82% of cases) of severity estimates. The proposed diagrammatic scale is considered adequate to estimate the severity of white spot in corn for germplasm evaluations, for epidemiological studies and for evaluation of control strategies for this disease. MenosThe main objective of this research is to determine the influence of leaf position on corn plants with white spot caused by Pantoea ananatis, which better represents the infection on the whole plant. A diagrammatic scale to quantify the severity of the disease was elaborated and validated. For scale elaboration, the minimal and maximal limits of the disease severity observed in the field were considered, and intermediate levels followed logarithmic increments according to the Weber?Fechner stimulation law. The scale has nine classes: 0.1, 1, 2, 4, 8, 16, 24, 32 and 64%. For scale evaluation, a severity evaluation for white spot was performed by 10 raters with no experience in disease evaluation. Initially, severity estimation was performed without a scale for 41 leaves with different levels of severity. Afterward, the same raters used the proposed diagrammatic scale. Through linear regression to compare the actual and estimate severity values, the raters? accuracy and precision were analyzed. Satisfactory accuracy and precision were achieved when estimation was performed with a diagrammatic scale. To determine the best leaf disease severity evaluation, correlation and regression analyses were performed with 25 plants of five genotypes, for a total of 284 leaves analyzed. Results analysis leads us to conclude that the severity of white spot on corn plants significantly correlates with the disease mean severity of leaves 0 and -1, i.e., a leaf of the corn ear and the one immed... Mostrar Tudo |
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Palavras-Chave: |
Assessment; Phytopatometry. |
|
Thesagro: |
Zea Mays. |
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Thesaurus NAL: |
Pantoea ananatis. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02771naa a2200277 a 4500
001 1859316
005 2018-06-04
008 2010 bl uuuu u00u1 u #d
024 7 $a10.1016/j.cropro.2010.04.012$2DOI
100 1 $aCAPUCHO, A. S.
245 $aInfluence of leaf position that correspond to whole plant severity and diagrammatic scale for white spot of corn.$h[electronic resource]
260 $c2010
520 $aThe main objective of this research is to determine the influence of leaf position on corn plants with white spot caused by Pantoea ananatis, which better represents the infection on the whole plant. A diagrammatic scale to quantify the severity of the disease was elaborated and validated. For scale elaboration, the minimal and maximal limits of the disease severity observed in the field were considered, and intermediate levels followed logarithmic increments according to the Weber?Fechner stimulation law. The scale has nine classes: 0.1, 1, 2, 4, 8, 16, 24, 32 and 64%. For scale evaluation, a severity evaluation for white spot was performed by 10 raters with no experience in disease evaluation. Initially, severity estimation was performed without a scale for 41 leaves with different levels of severity. Afterward, the same raters used the proposed diagrammatic scale. Through linear regression to compare the actual and estimate severity values, the raters? accuracy and precision were analyzed. Satisfactory accuracy and precision were achieved when estimation was performed with a diagrammatic scale. To determine the best leaf disease severity evaluation, correlation and regression analyses were performed with 25 plants of five genotypes, for a total of 284 leaves analyzed. Results analysis leads us to conclude that the severity of white spot on corn plants significantly correlates with the disease mean severity of leaves 0 and -1, i.e., a leaf of the corn ear and the one immediately below it. This scale provided good levels of accuracy and precision (a mean R2 of 94%), with errors concentrating around 10%. Raters presented increased reproducibility (R2 > 90% in 82% of cases) of severity estimates. The proposed diagrammatic scale is considered adequate to estimate the severity of white spot in corn for germplasm evaluations, for epidemiological studies and for evaluation of control strategies for this disease.
650 $aPantoea ananatis
650 $aZea Mays
653 $aAssessment
653 $aPhytopatometry
700 1 $aZAMBOLIM, L.
700 1 $aDUARTE, H. S. S.
700 1 $aPARREIRA, D. F.
700 1 $aFERREIRA, P. A.
700 1 $aLANZA, F. E.
700 1 $aCOSTA, R. V. da
700 1 $aCASELA, C. R.
700 1 $aCOTA, L. V.
773 $tCrop Protection, Surrey$gv. 29, n. 9, p. 1015-1020, 2010.
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