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| 1. |  | BATUGAL, P.; KONAN, J. L.; SANAOUSSI, A.; KULLAYA, A. K.; TUPINAMBA, E. A.; BASTILLO, R.; BEEN, B. Multilocation coconut hybrid trials in three African and three LAC countries. In: BATUGAL, P.; RAO, V. R.; OLIVER, J. (Ed.). Coconut Genetic Resources. Serdang, Selangor DE, Malaysia: International Plant Genetic Resources Institute, 2005. 779 p. p. 326-333. il.; color.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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Registro Completo
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
29/01/2020 |
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Data da última atualização: |
29/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
DANELLI, A. L. D.; FERNANDES, J. M. C.; MACIEL, J. L. N.; BOARETTO, C.; FORCELLINI, C. A. |
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Afiliação: |
Anderson Luiz Durante Danelli, Pós-Graduação em Agronomia-PPG Agro-Universidade de Passo Fundo (UPF), BR-285, CEP: 99052-900, Passo Fundo, RS, Brasil, Bolsista Capes/Prosup/UPF; JOSE MAURICIO CUNHA FERNANDES, CNPT; JOAO LEODATO NUNES MACIEL, CNPT; Cristina Boaretto, Pós-Graduação em Agronomia-PPGAgro-Universidade de Passo Fundo (UPF), BR-285, CEP: 99052-900, Passo Fundo, RS, Brasil; Carlos Alberto Forcelini, Professor, Faculdade de Agronomia e Medicina Veterinária, UPF, BR-285, CEP: 99052-900, Passo Fundo, RS, Brasil. |
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Título: |
Monitoring Pyricularia sp. airborne inoculum in Passo Fundo, Rio Grande do Sul, Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Summa Phytopathologica, v. 45, n. 4, p. 361-367, 2019. |
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DOI: |
10.1590/0100-5405/178086 |
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Idioma: |
Inglês |
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Conteúdo: |
The fungus Pyricularia sp., the causal agent of wheat blast, produces light, dry and hyaline conidia that can be removed from sporulating lesions by the wind and transported over long distances. Experiments were performed with the aim of (a) determining the relationship between the climate variables and the quantity of conidia of Pyricularia sp.,and (b) obtaining technical data that can be used in the elaboration of blast forecasting models.From February 2nd, 2013 to June 7th, 2014, the number of Pyricularia sp. conidia in the air was monitored by using a spore trap and glass slides smeared with vaseline. Several climate variables were hourly recorded during the spore capturing period. The data were explored based on classification trees and relationships between the weather-based predictors and the number of trapped conidia day-1. The strongest predictors were mean relative humidity, daily mean temperature, precipitation lower than 5 mm day-1,and number of hours when temperature was between 15 and 35 °C and relative humidity > 93%. |
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Palavras-Chave: |
Forecasting models; Weather factors. |
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Thesagro: |
Oryza Sativa; Triticum Aestivum. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/209813/1/1980-5454-sp-45-4-0361.pdf
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Marc: |
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008 2019 bl uuuu u00u1 u #d
024 7 $a10.1590/0100-5405/178086$2DOI
100 1 $aDANELLI, A. L. D.
245 $aMonitoring Pyricularia sp. airborne inoculum in Passo Fundo, Rio Grande do Sul, Brazil.$h[electronic resource]
260 $c2019
520 $aThe fungus Pyricularia sp., the causal agent of wheat blast, produces light, dry and hyaline conidia that can be removed from sporulating lesions by the wind and transported over long distances. Experiments were performed with the aim of (a) determining the relationship between the climate variables and the quantity of conidia of Pyricularia sp.,and (b) obtaining technical data that can be used in the elaboration of blast forecasting models.From February 2nd, 2013 to June 7th, 2014, the number of Pyricularia sp. conidia in the air was monitored by using a spore trap and glass slides smeared with vaseline. Several climate variables were hourly recorded during the spore capturing period. The data were explored based on classification trees and relationships between the weather-based predictors and the number of trapped conidia day-1. The strongest predictors were mean relative humidity, daily mean temperature, precipitation lower than 5 mm day-1,and number of hours when temperature was between 15 and 35 °C and relative humidity > 93%.
650 $aOryza Sativa
650 $aTriticum Aestivum
653 $aForecasting models
653 $aWeather factors
700 1 $aFERNANDES, J. M. C.
700 1 $aMACIEL, J. L. N.
700 1 $aBOARETTO, C.
700 1 $aFORCELLINI, C. A.
773 $tSumma Phytopathologica$gv. 45, n. 4, p. 361-367, 2019.
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Embrapa Trigo (CNPT) |
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