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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
21/01/2020 |
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Data da última atualização: |
21/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
PADILHA, M. C. C.; VICENTE, L. E.; DEMATTÊ, J. A. M.; LOEBMANN, D. G. dos S. W.; URBINA SALAZAR, D.; KOGA-VICENTE, A.; ARAUJO, L. S. de; MANZATTO, C. V. |
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Afiliação: |
MANUELA CORRÊA DE CASTRO PADILHA, ESALQ-USP; LUIZ EDUARDO VICENTE, CNPMA; JOSÉ ALEXANDRE MELO DEMATTÊ, ESALQ-USP; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; DIEGO URBINA SALAZAR, ESALQ-USP; ANDREA KOGA-VICENTE; LUCIANA SPINELLI DE ARAUJO, CNPMA; CELSO VAINER MANZATTO, CNPMA. |
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Título: |
Prediction statistical model for soil organic carbon mapping in crop areas using the Landsat/OLI sensor. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. Ref. 96042. |
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Páginas: |
p. 1-4. |
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ISBN: |
978-85-17-00097-3 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The quantification of soil organic carbon (SOC) is essential to agriculture and sustainable use of the land. However, there are difficulties to estimate it in large areas due to high cost of soil sample extraction, and laboratory preparations. There are approaches that may facilitate the estimation of SOC, such as the use of satellite imagery and the application of statistical models based on the spectral bands of the satellite under study. In July of 2017, this study proposed a prediction statistical model from optical-orbital data of the series Landsat, OLI sensor for estimating SOC content. |
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Palavras-Chave: |
Landsat OLI; Linear regression. |
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Thesagro: |
Carbono; Regressão Linear; Satélite; Solo. |
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Thesaurus Nal: |
Linear models; Prediction; Regression analysis; Soil organic carbon. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/209286/1/Vicente-prediction-statistical-2019.pdf
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Marc: |
LEADER 01669nam a2200337 a 4500
001 2119120
005 2020-01-21
008 2019 bl uuuu u00u1 u #d
020 $a978-85-17-00097-3
100 1 $aPADILHA, M. C. C.
245 $aPrediction statistical model for soil organic carbon mapping in crop areas using the Landsat/OLI sensor.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. Ref. 96042.$c2019
300 $ap. 1-4.
520 $aAbstract: The quantification of soil organic carbon (SOC) is essential to agriculture and sustainable use of the land. However, there are difficulties to estimate it in large areas due to high cost of soil sample extraction, and laboratory preparations. There are approaches that may facilitate the estimation of SOC, such as the use of satellite imagery and the application of statistical models based on the spectral bands of the satellite under study. In July of 2017, this study proposed a prediction statistical model from optical-orbital data of the series Landsat, OLI sensor for estimating SOC content.
650 $aLinear models
650 $aPrediction
650 $aRegression analysis
650 $aSoil organic carbon
650 $aCarbono
650 $aRegressão Linear
650 $aSatélite
650 $aSolo
653 $aLandsat OLI
653 $aLinear regression
700 1 $aVICENTE, L. E.
700 1 $aDEMATTÊ, J. A. M.
700 1 $aLOEBMANN, D. G. dos S. W.
700 1 $aURBINA SALAZAR, D.
700 1 $aKOGA-VICENTE, A.
700 1 $aARAUJO, L. S. de
700 1 $aMANZATTO, C. V.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
08/05/2018 |
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Data da última atualização: |
15/05/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SOUZA, T. L. P. O.; FARIA, J. C.; ARAGÃO, F. J. L.; DEL PELOSO, M. J.; FARIA, L. C. de; WENDLAND, A.; AGUIAR, M. S.; QUINTELA, E. D.; MELO, C. L. P.; HUNGRIA, M.; VIANELLO, R. P.; PEREIRA, H. S.; MELO, L. C. |
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Afiliação: |
THIAGO LIVIO PESSOA OLIV DE SOUZA, CNPAF; JOSIAS CORREA DE FARIA, CNPAF; FRANCISCO JOSE LIMA ARAGAO, Cenargen; MARIA JOSE DEL PELOSO, CNPAF; LUIS CLAUDIO DE FARIA, CNPAF; ADRIANE WENDLAND FERREIRA, CNPAF; MARCELO SFEIR DE AGUIAR, CNPAF; ELIANE DIAS QUINTELA, CNPAF; CARLOS LASARO PEREIRA DE MELO, CNPSO; MARIANGELA HUNGRIA DA CUNHA, CNPSO; ROSANA PEREIRA VIANELLO, CNPAF; HELTON SANTOS PEREIRA, CNPAF; LEONARDO CUNHA MELO, CNPAF. |
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Título: |
Agronomic performance and yield stability of the RNA interference-based Bean Golden Mosaic Virus-resistant common bean. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Crop Science, v. 57, n. 2, p. 579-591, Mar/Apr. 2018. |
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DOI: |
10.2135/cropsci2017.06.0355 |
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Idioma: |
Inglês |
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Conteúdo: |
Bean golden mosaic virus (BGMV) causes the main common bean (Phaseolus vulgaris L.) viral disease in Brazil, causing yield losses of 40 to 100%. Effective resistance to BGMV has not been identified in common bean lines tested in Brazil. Therefore, Embrapa used a transgenic approach to develop effective resistance to BGMV (event Embrapa 5.1), using RNA interference and plant transformation through the biolistic method. In the present work, we evaluate the agronomic performance and yield stability of 10 transgenic BGMV-resistant common bean elite lines from the carioca market class in 31 field trials conducted in Brazil from 2012 to 2014 to identify superior line suitable for release as a new cultivar. The results showed that the presence of the transgene did not cause any loss in yield and conferred greater yield stability in the transgenic elite lines because of the resistance to BGMV. The first commercial product developed with the BGMV resistance was selected, the line CNFCT 16205 (cv. BRS FC401 RMD), which is also the first genetically modified common bean cultivar developed in the world. The line exhibited high yield potential and stability, standard commercial seeds, a normal growing cycle (85-94 d), and effective resistance to BGMV. In addition, it has moderate resistance to anthracnose. However, it is susceptible to Cowpea mild mottle virus (CPMMV). BRS FC401 RMD can contribute to the sustainability of the common bean crop in Brazilian agriculture sector, and to the stability in the supply and price of common bean in the domestic market. MenosBean golden mosaic virus (BGMV) causes the main common bean (Phaseolus vulgaris L.) viral disease in Brazil, causing yield losses of 40 to 100%. Effective resistance to BGMV has not been identified in common bean lines tested in Brazil. Therefore, Embrapa used a transgenic approach to develop effective resistance to BGMV (event Embrapa 5.1), using RNA interference and plant transformation through the biolistic method. In the present work, we evaluate the agronomic performance and yield stability of 10 transgenic BGMV-resistant common bean elite lines from the carioca market class in 31 field trials conducted in Brazil from 2012 to 2014 to identify superior line suitable for release as a new cultivar. The results showed that the presence of the transgene did not cause any loss in yield and conferred greater yield stability in the transgenic elite lines because of the resistance to BGMV. The first commercial product developed with the BGMV resistance was selected, the line CNFCT 16205 (cv. BRS FC401 RMD), which is also the first genetically modified common bean cultivar developed in the world. The line exhibited high yield potential and stability, standard commercial seeds, a normal growing cycle (85-94 d), and effective resistance to BGMV. In addition, it has moderate resistance to anthracnose. However, it is susceptible to Cowpea mild mottle virus (CPMMV). BRS FC401 RMD can contribute to the sustainability of the common bean crop in Brazilian agriculture sector, and to the s... Mostrar Tudo |
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Thesagro: |
Feijão; Phaseolus vulgaris; RNA; Virus. |
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Thesaurus NAL: |
Agronomic traits; Bean common mosaic necrosis virus; Bean golden mosaic virus; Biosafety; Cowpea mild mottle virus; Genetically modified plants. |
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Categoria do assunto: |
W Química e Física |
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Marc: |
LEADER 02749naa a2200397 a 4500
001 2091227
005 2018-05-15
008 2018 bl --- 0-- u #d
024 7 $a10.2135/cropsci2017.06.0355$2DOI
100 1 $aSOUZA, T. L. P. O.
245 $aAgronomic performance and yield stability of the RNA interference-based Bean Golden Mosaic Virus-resistant common bean.$h[electronic resource]
260 $c2018
520 $aBean golden mosaic virus (BGMV) causes the main common bean (Phaseolus vulgaris L.) viral disease in Brazil, causing yield losses of 40 to 100%. Effective resistance to BGMV has not been identified in common bean lines tested in Brazil. Therefore, Embrapa used a transgenic approach to develop effective resistance to BGMV (event Embrapa 5.1), using RNA interference and plant transformation through the biolistic method. In the present work, we evaluate the agronomic performance and yield stability of 10 transgenic BGMV-resistant common bean elite lines from the carioca market class in 31 field trials conducted in Brazil from 2012 to 2014 to identify superior line suitable for release as a new cultivar. The results showed that the presence of the transgene did not cause any loss in yield and conferred greater yield stability in the transgenic elite lines because of the resistance to BGMV. The first commercial product developed with the BGMV resistance was selected, the line CNFCT 16205 (cv. BRS FC401 RMD), which is also the first genetically modified common bean cultivar developed in the world. The line exhibited high yield potential and stability, standard commercial seeds, a normal growing cycle (85-94 d), and effective resistance to BGMV. In addition, it has moderate resistance to anthracnose. However, it is susceptible to Cowpea mild mottle virus (CPMMV). BRS FC401 RMD can contribute to the sustainability of the common bean crop in Brazilian agriculture sector, and to the stability in the supply and price of common bean in the domestic market.
650 $aAgronomic traits
650 $aBean common mosaic necrosis virus
650 $aBean golden mosaic virus
650 $aBiosafety
650 $aCowpea mild mottle virus
650 $aGenetically modified plants
650 $aFeijão
650 $aPhaseolus vulgaris
650 $aRNA
650 $aVirus
700 1 $aFARIA, J. C.
700 1 $aARAGÃO, F. J. L.
700 1 $aDEL PELOSO, M. J.
700 1 $aFARIA, L. C. de
700 1 $aWENDLAND, A.
700 1 $aAGUIAR, M. S.
700 1 $aQUINTELA, E. D.
700 1 $aMELO, C. L. P.
700 1 $aHUNGRIA, M.
700 1 $aVIANELLO, R. P.
700 1 $aPEREIRA, H. S.
700 1 $aMELO, L. C.
773 $tCrop Science$gv. 57, n. 2, p. 579-591, Mar/Apr. 2018.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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