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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
30/08/2001 |
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Data da última atualização: |
05/04/2017 |
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Autoria: |
JARVIS, A. C. |
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Título: |
Ecological problems in Hartbeespoort Dam. |
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Ano de publicação: |
1988 |
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Fonte/Imprenta: |
Journal Limnology Society South African, v.14, n.2, p.82-86, 1988. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Anaerobic condition; Bluue-green algal; Condicao anaerobica; Ecosystem. |
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Thesagro: |
Alga; Ecossistema. |
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Thesaurus Nal: |
phytoplankton. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00525naa a2200193 a 4500
001 1808800
005 2017-04-05
008 1988 bl --- 0-- u #d
100 1 $aJARVIS, A. C.
245 $aEcological problems in Hartbeespoort Dam.
260 $c1988
650 $aphytoplankton
650 $aAlga
650 $aEcossistema
653 $aAnaerobic condition
653 $aBluue-green algal
653 $aCondicao anaerobica
653 $aEcosystem
773 $tJournal Limnology Society South African$gv.14, n.2, p.82-86, 1988.
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Registro original: |
Embrapa Pantanal (CPAP) |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
09/05/2022 |
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Data da última atualização: |
09/05/2022 |
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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: |
ZANUNCIO JUNIOR, J. S.; COSTA, H.; DORZENONI, R. R.; GUARÇONI, R. C.; FORNAZIER, M. L.; SOSSAI, S. R.; BOTACIM, L. A.; SOUZA, E. M. R.; FERRAO, M. A. G.; MARTINS, D. dos S.; FAVARATO, L. F.; FORNAZIER, M. J. |
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Afiliação: |
JOSÉ SALAZAR ZANUNCIO JUNIOR, INCAPER; HÉLCIO COSTA, INCAPER; RAÍZA RAINHA DORZENONI, CONCAFE/FUNCAFE; ROGÉRIO CARVALHO GUARÇONI, INCAPER; MAURÍCIO LORENÇÃO FORNAZIER, FAPES; SUIANE REINALDO SOSSAI, CONCAFE/FUNCAFE; LUCIANA APARECIDA BOTACIM, FAPES; ELAINE MANELLI RIVA SOUZA, INCAPER; MARIA AMELIA GAVA FERRAO, CNPCa; DAVID DOS SANTOS MARTINS, FAPES; LUIZ FERNANDO FAVARATO, INCAPER; MAURÍCIO JOSÉ FORNAZIER, INCAPER. |
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Título: |
Modeling the brown eye spot sampling in arabica coffee. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
International Journal of Advanced Engineering Research and Science, v.9, n. 4, p. 226-231, Apr., 2022. |
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DOI: |
https://dx.doi.org/10.22161/ijaers.94.26 |
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Idioma: |
Inglês |
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Conteúdo: |
Coffee production has a great socioeconomic importance for Brazil. It generates direct and indirect jobs, and foreign exchange, with Brazilian Arabica coffee production estimated between 42 - 46 million bags (60 kg) in 2020. It is the main agribusiness activity in the State of Espírito Santo, Brazil with expected production between 13 - 15 million bags, and around 30% of this production is Arabica coffee. Technologies are recommended to coffee growers to increase yield, and production of specialty coffees on sustainable properties. Among the principles of integrated management is the monitoring of pests and diseases to determine the level of pest control. The estimate of the number of leaves to be sampled in the monitoring becomes an important tool to increase the accuracy of the obtained information. This research was carried out aiming to determine the minimum number of leaves necessary to evaluate the infestation of brown eye spot (BES) of coffee in Arabica coffee (Coffea arabica L.) without affecting the accuracy of the collection method. It was observed that the estimate of the minimum number for sampling was 46 leaves for the characteristics of incidence, and severity of BES in Arabica coffee. The modeling applied in this study allows to conclude that it is possible to recommend an optimum number of Arabica coffee leaves for these edaphoclimatic conditions, and variety, and it can serve as a basis for monitoring in an integrated pest and disease management program in Arabica coffee. MenosCoffee production has a great socioeconomic importance for Brazil. It generates direct and indirect jobs, and foreign exchange, with Brazilian Arabica coffee production estimated between 42 - 46 million bags (60 kg) in 2020. It is the main agribusiness activity in the State of Espírito Santo, Brazil with expected production between 13 - 15 million bags, and around 30% of this production is Arabica coffee. Technologies are recommended to coffee growers to increase yield, and production of specialty coffees on sustainable properties. Among the principles of integrated management is the monitoring of pests and diseases to determine the level of pest control. The estimate of the number of leaves to be sampled in the monitoring becomes an important tool to increase the accuracy of the obtained information. This research was carried out aiming to determine the minimum number of leaves necessary to evaluate the infestation of brown eye spot (BES) of coffee in Arabica coffee (Coffea arabica L.) without affecting the accuracy of the collection method. It was observed that the estimate of the minimum number for sampling was 46 leaves for the characteristics of incidence, and severity of BES in Arabica coffee. The modeling applied in this study allows to conclude that it is possible to recommend an optimum number of Arabica coffee leaves for these edaphoclimatic conditions, and variety, and it can serve as a basis for monitoring in an integrated pest and disease management program in A... Mostrar Tudo |
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Thesagro: |
Peste. |
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Thesaurus NAL: |
Cercospora; Coffea arabica var. arabica; Disease surveillance; Mycosphaerella; Pest control. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1142726/1/Modeling-the-brown-eye-spot-sampling-in-Arabica-coffee.pdf
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Marc: |
LEADER 02530naa a2200337 a 4500
001 2142726
005 2022-05-09
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://dx.doi.org/10.22161/ijaers.94.26$2DOI
100 1 $aZANUNCIO JUNIOR, J. S.
245 $aModeling the brown eye spot sampling in arabica coffee.$h[electronic resource]
260 $c2022
520 $aCoffee production has a great socioeconomic importance for Brazil. It generates direct and indirect jobs, and foreign exchange, with Brazilian Arabica coffee production estimated between 42 - 46 million bags (60 kg) in 2020. It is the main agribusiness activity in the State of Espírito Santo, Brazil with expected production between 13 - 15 million bags, and around 30% of this production is Arabica coffee. Technologies are recommended to coffee growers to increase yield, and production of specialty coffees on sustainable properties. Among the principles of integrated management is the monitoring of pests and diseases to determine the level of pest control. The estimate of the number of leaves to be sampled in the monitoring becomes an important tool to increase the accuracy of the obtained information. This research was carried out aiming to determine the minimum number of leaves necessary to evaluate the infestation of brown eye spot (BES) of coffee in Arabica coffee (Coffea arabica L.) without affecting the accuracy of the collection method. It was observed that the estimate of the minimum number for sampling was 46 leaves for the characteristics of incidence, and severity of BES in Arabica coffee. The modeling applied in this study allows to conclude that it is possible to recommend an optimum number of Arabica coffee leaves for these edaphoclimatic conditions, and variety, and it can serve as a basis for monitoring in an integrated pest and disease management program in Arabica coffee.
650 $aCercospora
650 $aCoffea arabica var. arabica
650 $aDisease surveillance
650 $aMycosphaerella
650 $aPest control
650 $aPeste
700 1 $aCOSTA, H.
700 1 $aDORZENONI, R. R.
700 1 $aGUARÇONI, R. C.
700 1 $aFORNAZIER, M. L.
700 1 $aSOSSAI, S. R.
700 1 $aBOTACIM, L. A.
700 1 $aSOUZA, E. M. R.
700 1 $aFERRAO, M. A. G.
700 1 $aMARTINS, D. dos S.
700 1 $aFAVARATO, L. F.
700 1 $aFORNAZIER, M. J.
773 $tInternational Journal of Advanced Engineering Research and Science$gv.9, n. 4, p. 226-231, Apr., 2022.
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Embrapa Café (CNPCa) |
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