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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
02/12/2014 |
Data da última atualização: |
02/12/2014 |
Autoria: |
MARQUES, J. R. F. (Ed.). |
Título: |
Produção animal na Ilha de Marajó. |
Edição: |
2. ed. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
Belém-PA : Embrapa Amazônia Oriental, 2011. |
Páginas: |
243 p. |
Descrição Física: |
il. color. |
ISBN: |
978-85-87690-94-4 |
Idioma: |
Português |
Conteúdo: |
O ambiente marajoara e o uso da terra; Criação de búfalos; Criação de bovinos; Pequenos e médios animais; Cavalo marajoara; Aqüicultura; Alimentação e manejo de pastagens; Eficiência reprodutiva; Melhoramento genético; Acompanhamento zootécnico de rebanhos; Abordagem sobre o potencial da produção animal na Ilha de Marajó. |
Palavras-Chave: |
Amazônia; Bovino; Brasil; Bufalo; Caprino; Equino; Marajó; Ovino; Pará; Produção animal. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00963nam a2200265 a 4500 001 1004605 005 2014-12-02 008 2011 bl uuuu 00u1 u #d 020 $a978-85-87690-94-4 100 1 $aMARQUES, J. R. F. 245 $aProdução animal na Ilha de Marajó. 250 $a2. ed. 260 $aBelém-PA : Embrapa Amazônia Oriental$c2011 300 $a243 p.$cil. color. 520 $aO ambiente marajoara e o uso da terra; Criação de búfalos; Criação de bovinos; Pequenos e médios animais; Cavalo marajoara; Aqüicultura; Alimentação e manejo de pastagens; Eficiência reprodutiva; Melhoramento genético; Acompanhamento zootécnico de rebanhos; Abordagem sobre o potencial da produção animal na Ilha de Marajó. 653 $aAmazônia 653 $aBovino 653 $aBrasil 653 $aBufalo 653 $aCaprino 653 $aEquino 653 $aMarajó 653 $aOvino 653 $aPará 653 $aProdução animal
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Biblioteca Rui Tendinha (BRT) |
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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
19/08/2022 |
Data da última atualização: |
19/08/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
ZANÚNCIO JUNIOR, J. S.; COSTA, H.; DORZENONI, R. R.; GUARÇONI, R. G.; FORNAZIER, M. L.; SOSSAI, S. R.; BOTACIM, L. A.; RIVA-SOUZA, E. M.; FERRÃO, M. A. G.; MARTINS, D. dos S.; FAVARATO, L. F.; FORNAZIER, M. J. |
Afiliação: |
José Salazar Zanuncio Junior, Incaper; Helcio Costa, Incaper; Raíza Rainha Dorzenoni, CONCAFE/FUNCAFE; Rogerio Carvalho Guarçoni, Incaper; Maurício Lorenção Fornazier, FAPES/IFES; Suiane Reinaldo Sossai, CONCAFE/FUNCAFE; Luciana Aparecida Botacim, CCAE-UFES; Elaine Manelli Riva-Souza, Incaper; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; David dos Santos Martins, Incaper; Luiz Fernando Favarato, Incaper; Mauricio José Fornazier, Incaper. |
Título: |
Modeling the brown eye spot sampling in arabica coffee. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
International Journal of Advanced Engineering Research and Science v.9, n. 4, p. 226-231, apr., 2022. |
DOI: |
https://dx.doi.org/10.22161/ijaers.94.26 |
Idioma: |
Inglês |
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 |
Thesagro: |
Cercospora; Coffea arabica var arabica; Disease surveillance; Mycosphaerella; Pest control; Peste. |
Categoria do assunto: |
-- |
URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/item/4214/1/Modeling-the-brown-eye-spot-sampling-arabica-zanunciojunior.pdf
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Marc: |
LEADER 02533naa a2200337 a 4500 001 1024207 005 2022-08-19 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://dx.doi.org/10.22161/ijaers.94.26$2DOI 100 1 $aZANÚNCIO 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. G. 700 1 $aFORNAZIER, M. L. 700 1 $aSOSSAI, S. R. 700 1 $aBOTACIM, L. A. 700 1 $aRIVA-SOUZA, E. M. 700 1 $aFERRÃO, 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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