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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. |
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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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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. |
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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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| 3. |  | DANTAS, B. F.; GOMES, S. E. V.; MATIAS, J. R.; MOURA, M. S. B. de; ANGELOTTI, F.; SEAL, C. E. Germinação de sementes de Poincianella pyramidalis (Tul.) L.P. Queiroz E P. microphylla (Mart. Ex G. Don.) nos climas atual e futuro. Informativo ABRATES, Londrina, v. 27, n. 2, p. 90, ago. 2017. Número especial. Edição dos Resumos do XX Congresso Brasileiro de Sementes, Foz do Iguaçu, ago. 2017.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Semiárido. |
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| 5. | | DANTAS, B. F.; OLIVEIRA, G. M.; BISPO, J. S.; MATIAS, J. R.; RIBEIRO, R. C.; SEAL, C. E. Métodos para estimar requerimentos e limites térmicos e hídricos em sementes florestais da Caatinga. Informativo ABRATES, Londrina, v. 27, n. 2, p. 269, ago. 2017. Número especial. Edição dos Resumos do XX Congresso Brasileiro de Sementes, Foz do Iguaçu, ago. 2017.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Semiárido. |
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| 6. | | DANTAS, B. F.; MOURA, M. S. B. de; PELACANI, C. R.; ANGELOTTI, F.; TAURA, T. A.; OLIVEIRA, G. M.; BISPO, J. S.; MATIAS, J. R.; SILVA, F. F. S.; PRITCHARD, H. W.; SEAL, C. E. Rainfall, not soil temperature, will limit the seed germination of dry forest species with climate change. Oecologia, v. 192, p. 529-541, 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Semiárido. |
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| 7. | | DANTAS, B. F.; OLIVEIRA, G. M.; MOURA, M. S. B. de; TAURA, T. A.; RIBEIRO, R. C.; SILVA, F. F. S.; PELACANI, C. R.; ANGELOTTI, F.; PRITCHARD, H. W.; SEAL, C. E. Predicting the future germination performace of Myracrodruon urundeuva (Fr. All.) using thermal time and hydrotime model approaches. In: SEED ECOLOGY OF CONFERENCE, 5., 2016, Caeté, MG. Book of abstracts... Paris: International Society for Seed Science: UFMG, 2016. p. 19.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Semiárido. |
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| 8. | | OLIVEIRA, G. M. de; SILVAM F. F. S. da; ARAÚJO, M. do N.; COSTA, D. C. C. da; GOMES, S. E. V.; MATIAS, J. R.; ANGELOTTI, F.; CRUZ, C. R. P.; SEAL, C. E.; DANTAS, B. F. Environmental stress, future climate, and germination of Myracrodruon urundeuva seeds. Journal of Seed Science, v. 41, n. 1, p. 32-43, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Semiárido. |
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| Registros recuperados : 8 | |
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