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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
05/08/2010 |
Data da última atualização: |
04/06/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
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. |
Título: |
Influence of leaf position that correspond to whole plant severity and diagrammatic scale for white spot of corn. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
Crop Protection, Surrey, v. 29, n. 9, p. 1015-1020, 2010. |
DOI: |
10.1016/j.cropro.2010.04.012 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Assessment; Phytopatometry. |
Thesagro: |
Zea Mays. |
Thesaurus Nal: |
Pantoea ananatis. |
Categoria do assunto: |
-- |
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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Embrapa Milho e Sorgo (CNPMS) |
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Registros recuperados : 30 | |
2. | | CAPUCHO, A. S.; ZAMBOLIM, L.; CABRAL, P. G. C.; ZAMBOLIM, E. M.; CAIXETA, E. T. Germinação e infecção de ferrugem em cafeeiro conilon sob diferentes temperaturas e molhamentos foliares. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 7., 2011, Araxá. Anais... Brasília, DF: Embrapa Café, 2011.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Café. |
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5. | | HONORATO, A. C.; CABRAL, P. G. C.; ISHIKAWA, F. H.; PEREIRA, O. L.; SOUZA, F. de F.; CAPUCHO, A. S. Agressividade e crescimento micelial de Lasiodiplodia sp. em aceroleira. In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 49., 2016, Maceió. Resumos... Maceió: SBF, 2016.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Semiárido. |
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6. | | CAPUCHO, A. S.; ZAMBOLIM, L.; ZAMBOLIM, E. M.; CAIXETA, E. T.; FRANCHINI, E. de A.; PEREIRA, A. A. Avaliação da resistência de cultivares de café à raça II de Hemileia vastatrix Berk. et Br. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 5., 2007, Águas de Lindóia, SP. Anais... Brasília, DF: Embrapa Café, 2007.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Café. |
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8. | | CUNHA, F. S. da; COSTA, A. E. da S.; CAPUCHO, A. S.; DIAS, R. de C. S.; ISHIKAWA, F. H. Escala descritiva para avaliação de Rhizoctonia solani em melancia em fase de plântula. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: UFG: SBMP, 2015. 1 CD-ROM.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Semiárido. |
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11. | | MACIEL-ZAMBOLIM, E.; COSTA, H.; CAPUCHO, A. S.; ÁVILA, A. C. de; INOUE-NAKATA, A. K.; KITAJIMA, E. W. Surto epidemiológico do vírus do mosaico amarelo do pimentão em tomateiro na região serrana do Espirito Santo. Fitopatologia Brasileira, Brasilia, v. 29, n. 3, p. 325-327, maio/jun. 2004.Biblioteca(s): Embrapa Hortaliças. |
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12. | | BARBOSA, J. C.; CAIXETA, E. T.; ZAMBOLIM, E. M.; CAPUCHO, A. S.; RUFINO, R. N.; ALVARENGA, S. M.; ZAMBOLIM, L.; SAKIYAMA, N. S. Caracterização da resistência vertical e horizontal do cafeeiro à ferrugem (Hemileia vastatrix Berk. & Br) em acesso de híbrido de Timor. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 4., 2005, Londrina. Anais... Brasília, DF: Embrapa Café, 2005.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Café. |
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13. | | CAIXETA, E. T.; PESTANA, K. N.; SALGADO, C. C.; CAPUCHO, A. S.; QUEIROZ, T. F. N.; PORTO, B. N.; COSME, D.; MACIEL-AMBOLIM, E.; SAKIYAMA, N. S. Integration of genetic linkage maps for Coffea arabica. In: INTERNATIONAL CONFERENCE ON COFFEE SCIENCE, 24., 2012, San José, Costa Rica. Programme & abstracts... Costa Rica: ASIC, 2012. p. 58Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Café. |
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14. | | HONORATO, A. C.; COSTA, A. E. S.; CABRAL, P. G. C.; ISHIKAWA, F. H.; PEREIRA, O. L.; SOUZA, F. de F.; CAPUCHO, A. S. Métodos de inoculação de Lasiodiplodia sp. em aceroleira. In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 49., 2016, Maceió. Resumos... Maceió: SBF, 2016.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Semiárido. |
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15. | | CAPUCHO, A. S.; RUFINO, R. J. N.; ZAMBOLIM, E. M.; CAIXETA, E. T.; OLIVEIRA, A. C. B. de; ALMEIDA, R. F. de; BRITO, G. G. de; ZAMBOLIM, L. Método de inoculação de Hemileia vastarix Berk. et Br. em folhas destacadas de cafeeiro. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 4., 2005, Londrina. Anais... Brasília, DF: Embrapa Café, 2005.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Café. |
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17. | | MOURA, M. A. R. de; SILVA, A. M. G. B.; CASTRO, J. M. da C. e; RODRIGUES, M. S.; CAPUCHO, A. S. Prevalência e distribuição do anel-vermelho-do-coqueiro em Petrolina, PE. In: JORNADA DE INTEGRAÇÃO DA PÓS-GRADUAÇÃO DA EMBRAPA SEMIÁRIDO, 2., 2017, Petrolina. Anais... Petrolina: Embrapa Semiárido, 2017. p. 117-122. (Embrapa Semiáridos. Documento, 280).Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Semiárido. |
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18. | | HONORATO, A. C.; NASCIMENTO, F. A.; CABRAL, P. G. C.; ISHIKAWA, F. H.; PEREIRA, O. L.; SOUZA, F. de F.; CAPUCHO, A. S. Esporulação de Lasiodiplodia sp. sob diferentes substratos. In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 49., 2016, Maceió. Resumos... Maceió: SBF, 2016.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Semiárido. |
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19. | | SANTOS, J. L. D. dos; MOURA, N. R.; SOUZA, F. de F.; CASTRO, J. M. da C. e; CAPUCHO, A. S. Espécies de Meloidogyne associadas a aceroleira no Submédio do Vale do Rio São Francisco, Brasil. Revista de Ciências Agrárias, v. 43, 3, p. 333-342, 2020.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
Biblioteca(s): Embrapa Semiárido. |
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20. | | SANTOS, J. L. F. dos; MOURA, N. R.; PASSOS, T. de O.; SOUZA, F. de F.; CASTRO, J. M. da C. e; CAPUCHO, A. S. Identificação de fontes de resistência a Meloidogyne enterolobii em aceroleira. In: JORNADA DE INTEGRAÇÃO DA PÓS-GRADUAÇÃO DA EMBRAPA SEMIÁRIDO, 1., 2016, Petrolina. Anais... Petrolina: Embrapa Semiárido, 2016. p. 31-32. (Embrapa Semiárido. Documentos, 274).Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Semiárido. |
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Registros recuperados : 30 | |
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