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Registro Completo |
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Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
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Data corrente: |
29/10/2021 |
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Data da última atualização: |
08/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RAMOS, M. R.; SOARES, M. M.; SANTOS, D. A. dos; UHLMANN, A. |
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Afiliação: |
MICHELE RIBEIRO RAMOS, UNIVERSIDADE ESTADUAL DO TOCANTINS; MARCOS MORAIS SOARES, UNIVERSIDADE LUTERANA DO BRASIL; DANILO MARCELO AIRES DOS SANTOS, UNIVERSIDADE ESTADUAL DO TOCANTINS; ALEXANDRE UHLMANN, CNPASA. |
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Título: |
Diagnosis of the soybean production sector in Porto Nacional, Tocantins, Brazil. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Revista Brasileira de Planejamento e Desenvolvimento, v. 10, n. 2, p. 242-258, mai./ago. 2021. |
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ISSN: |
2317-2363 |
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Idioma: |
Inglês |
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Conteúdo: |
Soybean is the most important oil crop for Brazil since almost all production is destined for export, which contributes significantly to the gross domestic product (GDP) of the country. However, soybean production fields have not responded to high levels of grain yield. Therefore, as we are facing a scarcity of natural resources, especially regard to new areas for agricultural expansion, to increase production it will be necessary to produce more grains in the same area since there is no guarantee of exploration of new areas. Thus, the aim of this research was to identify the main difficulties of the soybean production sector in the region of Porto Nacional, state of Tocantins, Brazil. A questionnaire was applied to 24 farmers of the region to obtain the information. The results indicate that the highest soybean grain yield for the Porto Nacional (TO) region occurs in areas where the farmers use the application at variable rate fertilizer, liming frequently and perform the management of the fertility at deeper soil layers. |
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Thesagro: |
Agronegócio; Manejo do Solo; Soja. |
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Thesaurus Nal: |
Agribusiness; Soil management; Soybeans. |
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Categoria do assunto: |
E Economia e Indústria Agrícola |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227333/1/rb-2021.pdf
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Marc: |
LEADER 01743naa a2200241 a 4500
001 2135713
005 2021-11-08
008 2021 bl uuuu u00u1 u #d
022 $a2317-2363
100 1 $aRAMOS, M. R.
245 $aDiagnosis of the soybean production sector in Porto Nacional, Tocantins, Brazil.$h[electronic resource]
260 $c2021
520 $aSoybean is the most important oil crop for Brazil since almost all production is destined for export, which contributes significantly to the gross domestic product (GDP) of the country. However, soybean production fields have not responded to high levels of grain yield. Therefore, as we are facing a scarcity of natural resources, especially regard to new areas for agricultural expansion, to increase production it will be necessary to produce more grains in the same area since there is no guarantee of exploration of new areas. Thus, the aim of this research was to identify the main difficulties of the soybean production sector in the region of Porto Nacional, state of Tocantins, Brazil. A questionnaire was applied to 24 farmers of the region to obtain the information. The results indicate that the highest soybean grain yield for the Porto Nacional (TO) region occurs in areas where the farmers use the application at variable rate fertilizer, liming frequently and perform the management of the fertility at deeper soil layers.
650 $aAgribusiness
650 $aSoil management
650 $aSoybeans
650 $aAgronegócio
650 $aManejo do Solo
650 $aSoja
700 1 $aSOARES, M. M.
700 1 $aSANTOS, D. A. dos
700 1 $aUHLMANN, A.
773 $tRevista Brasileira de Planejamento e Desenvolvimento$gv. 10, n. 2, p. 242-258, mai./ago. 2021.
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Registro original: |
Embrapa Pesca e Aquicultura (CNPASA) |
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Biblioteca |
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Tipo/Formato |
Classificação |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação; Embrapa Mandioca e Fruticultura. |
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Data corrente: |
24/03/2011 |
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Data da última atualização: |
29/01/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
PEREIRA, F. M. V.; MILORI, D. M. B. P.; PEREIRA-FILHO, E. R.; VENANCIO, A. L.; RUSSO, M. de S. T.; MARTINS, P. K.; FREITAS-ASTUA, J. |
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Afiliação: |
DEBORA MARCONDES BASTOS P MILORI, CNPDIA. |
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Título: |
Fluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Analytical methods, [S. l.], v. 3, p. 552-556, 2011. |
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DOI: |
10.1039/C0AY00538J |
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Idioma: |
Inglês |
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Conteúdo: |
The citrus greening (or huanglongbing) disease has caused serious problems in citrus crops around the world. An early diagnostic method to detect this malady is needed due to the rapid dissemination of Candidatus Liberibacter asiaticus (CLas) in the field. This analytical study investigated the fluorescence responses of leaves from healthy citrus plants and those inoculated with CLas by images from a stereomicroscope and also evaluated their potential for the early diagnosis of the infection caused by this bacterium. The plants were measured monthly, and the evolution of the bacteria on inoculated plants was monitored by real-time quantitative polymerase chain reaction (RT-qPCR) amplication of CLas sequences. A statistical method was used to analyse the data. The selection of variables from histograms of colours (colourgrams) of the images was optimized using a paired Student 's t-test. The intensity of counts for green colours from images of fluorescence had clearly minor variations for healthy plants than diseased ones. The darker green colours were the indicators of healthy plants and the light colours for the diseased. The method of fluorescence images is novel for fingerprinting healthy and diseased plants and provides an alternative to the current method represented by PCR and visual inspection. A new, non-subjective pattern of analysis and a non-destructive method has been introduced that can minimize the time and costs of analyses. |
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Palavras-Chave: |
Citrus greening disease; Doença do greening citrus; Huanglongbing; Method of fluorescence images; Método de imagens de fluorescência; Plant disease; Statistical method. |
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Thesagro: |
Bactéria; Greening; Método Estatístico. |
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Thesaurus NAL: |
Candidatus Liberibacter. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02525naa a2200337 a 4500
001 1900658
005 2019-01-29
008 2011 bl uuuu u00u1 u #d
024 7 $a10.1039/C0AY00538J$2DOI
100 1 $aPEREIRA, F. M. V.
245 $aFluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection.$h[electronic resource]
260 $c2011
520 $aThe citrus greening (or huanglongbing) disease has caused serious problems in citrus crops around the world. An early diagnostic method to detect this malady is needed due to the rapid dissemination of Candidatus Liberibacter asiaticus (CLas) in the field. This analytical study investigated the fluorescence responses of leaves from healthy citrus plants and those inoculated with CLas by images from a stereomicroscope and also evaluated their potential for the early diagnosis of the infection caused by this bacterium. The plants were measured monthly, and the evolution of the bacteria on inoculated plants was monitored by real-time quantitative polymerase chain reaction (RT-qPCR) amplication of CLas sequences. A statistical method was used to analyse the data. The selection of variables from histograms of colours (colourgrams) of the images was optimized using a paired Student 's t-test. The intensity of counts for green colours from images of fluorescence had clearly minor variations for healthy plants than diseased ones. The darker green colours were the indicators of healthy plants and the light colours for the diseased. The method of fluorescence images is novel for fingerprinting healthy and diseased plants and provides an alternative to the current method represented by PCR and visual inspection. A new, non-subjective pattern of analysis and a non-destructive method has been introduced that can minimize the time and costs of analyses.
650 $aCandidatus Liberibacter
650 $aBactéria
650 $aGreening
650 $aMétodo Estatístico
653 $aCitrus greening disease
653 $aDoença do greening citrus
653 $aHuanglongbing
653 $aMethod of fluorescence images
653 $aMétodo de imagens de fluorescência
653 $aPlant disease
653 $aStatistical method
700 1 $aMILORI, D. M. B. P.
700 1 $aPEREIRA-FILHO, E. R.
700 1 $aVENANCIO, A. L.
700 1 $aRUSSO, M. de S. T.
700 1 $aMARTINS, P. K.
700 1 $aFREITAS-ASTUA, J.
773 $tAnalytical methods, [S. l.]$gv. 3, p. 552-556, 2011.
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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