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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agroenergia. Para informações adicionais entre em contato com cnpae.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agroenergia. |
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Data corrente: |
14/12/2015 |
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Data da última atualização: |
15/02/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
CEREIJO, C. R.; SANTANA, H.; SIQUEIRA, F. G. de; BRASIL, B. dos S. A. F. |
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Afiliação: |
Carolina Ribero Cereijo, Universidade Federal do Tocantins; Hugo Santana, UFBA; FELIX GONCALVES DE SIQUEIRA, CNPAE; BRUNO DOS SANTOS ALVES FIGUEIREDO BRASIL, CNPAE. |
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Título: |
Spectrophotometry as a method for microalgae cultivation analysis |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: LATIN AMERICAN CONGRESS, 4., 2015, Florianópolis. Anais. Florianópolis: UFSC, 2015. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Cultivation; Productivity. |
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Thesaurus Nal: |
biomass; Chlamydomonas; Chlorella. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00603nam a2200193 a 4500
001 2031617
005 2016-02-15
008 2015 bl uuuu u00u1 u #d
100 1 $aCEREIJO, C. R.
245 $aSpectrophotometry as a method for microalgae cultivation analysis$h[electronic resource]
260 $aIn: LATIN AMERICAN CONGRESS, 4., 2015, Florianópolis. Anais. Florianópolis: UFSC$c2015
650 $abiomass
650 $aChlamydomonas
650 $aChlorella
653 $aCultivation
653 $aProductivity
700 1 $aSANTANA, H.
700 1 $aSIQUEIRA, F. G. de
700 1 $aBRASIL, B. dos S. A. F.
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Registro original: |
Embrapa Agroenergia (CNPAE) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
09/11/2020 |
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Data da última atualização: |
10/11/2020 |
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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: |
SEIDEL, E. J.; PAZINI, J. B.; TOMAZELLA, V. L. D.; VIEIRA, A. M. C.; SILVA, F. F.; MARTINS, J. F. S.; BARRIGOSSI, J. A. F. |
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Afiliação: |
E. J. SEIDEL, UNIVERSIDADE FEDERAL DE SANTA MARIA; J. B. PAZINI, UNIVERSIDADE FEDERAL DE PELOTAS; V. L. D. TOMAZELLA, UNIVERSIDADE FEDERAL DE SÃO CARLOS; A. M. C. VIEIRA, UNIVERSIDADE FEDERAL DE SÃO CARLOS; F. F. SILVA, UNIVERSIDADE FEDERAL DO PAMPA; JOSE FRANCISCO DA SILVA MARTINS, CPACT; JOSE ALEXANDRE F BARRIGOSSI, CNPAF. |
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Título: |
Predicting rice stem stink bug population dynamics based on GAMLSS models. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Environmental Entomology, v. 49, n. 5, p. 1145-1154, Oct. 2020. |
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ISSN: |
0046-225X |
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DOI: |
https://doi.org/10.1093/ee/nvaa091 |
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Idioma: |
Inglês |
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Conteúdo: |
The rice stem stink bug, Tibraca limbativentris Stål (Hemiptera: Pentatomidae), is one of the most harmful insects for Brazilian rice fields. Aiming to define the most appropriate time and place for pest management measures in commercial paddy fields, we adjusted regression models (Poisson, Zero Inflated Poisson, reparametrized Zero Inflated Poisson, Negative Binomial and Zero Inflated Negative Binomial) for modeling the population variation of T. limbativentris along the phenological cycle of the flooded rice cultivation. We hypothesize that the rice stem stink bug population?s size is influenced by the rice cycle (time) and geographical positions within the crop. It was possible to predict the occurrence of the rice stem stink bug in the commercial flooded rice crop. The population of the rice stem stink bug increased significantly with the time or phenological evolution of rice. Our results indicated that the start of T. limbativentris monitoring should occur up to 45 d After Plant Emergence (DAE), from the regions along the edges of the rice paddies, which are the points of entry and higher concentration of the insect. In addition, 45 and 60 DAE were considered the crucial times for T. limbativentris control decision making in flooded rice paddies. |
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Palavras-Chave: |
Negative binomial regression; Rice cycle time; Rice stem stink bug. |
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Thesagro: |
Arroz; Oryza Sativa; Praga de Planta; Tibraca Limbativentris. |
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Thesaurus NAL: |
Feeding behavior; Integrated pest management; Plant pests; Rice; Structural equation modeling. |
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Categoria do assunto: |
O Insetos e Entomologia |
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Marc: |
LEADER 02343naa a2200361 a 4500
001 2126410
005 2020-11-10
008 2020 bl uuuu u00u1 u #d
022 $a0046-225X
024 7 $ahttps://doi.org/10.1093/ee/nvaa091$2DOI
100 1 $aSEIDEL, E. J.
245 $aPredicting rice stem stink bug population dynamics based on GAMLSS models.$h[electronic resource]
260 $c2020
520 $aThe rice stem stink bug, Tibraca limbativentris Stål (Hemiptera: Pentatomidae), is one of the most harmful insects for Brazilian rice fields. Aiming to define the most appropriate time and place for pest management measures in commercial paddy fields, we adjusted regression models (Poisson, Zero Inflated Poisson, reparametrized Zero Inflated Poisson, Negative Binomial and Zero Inflated Negative Binomial) for modeling the population variation of T. limbativentris along the phenological cycle of the flooded rice cultivation. We hypothesize that the rice stem stink bug population?s size is influenced by the rice cycle (time) and geographical positions within the crop. It was possible to predict the occurrence of the rice stem stink bug in the commercial flooded rice crop. The population of the rice stem stink bug increased significantly with the time or phenological evolution of rice. Our results indicated that the start of T. limbativentris monitoring should occur up to 45 d After Plant Emergence (DAE), from the regions along the edges of the rice paddies, which are the points of entry and higher concentration of the insect. In addition, 45 and 60 DAE were considered the crucial times for T. limbativentris control decision making in flooded rice paddies.
650 $aFeeding behavior
650 $aIntegrated pest management
650 $aPlant pests
650 $aRice
650 $aStructural equation modeling
650 $aArroz
650 $aOryza Sativa
650 $aPraga de Planta
650 $aTibraca Limbativentris
653 $aNegative binomial regression
653 $aRice cycle time
653 $aRice stem stink bug
700 1 $aPAZINI, J. B.
700 1 $aTOMAZELLA, V. L. D.
700 1 $aVIEIRA, A. M. C.
700 1 $aSILVA, F. F.
700 1 $aMARTINS, J. F. S.
700 1 $aBARRIGOSSI, J. A. F.
773 $tEnvironmental Entomology$gv. 49, n. 5, p. 1145-1154, Oct. 2020.
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Embrapa Arroz e Feijão (CNPAF) |
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