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| Registros recuperados : 12 | |
| 2. |  | CARVALHO, J. de F. C.; CRUSIOL, L. G. T.; PERINI, L. J.; SIBALDELLI, R. N. R.; FERREIRA. L. C.; MARCELINO-GUIMARÃES, F. C.; NEPOMUCENO, A. L.; NEUMAIER, N.; FARIAS, J. R. B. Phenotyping soybeans for drought responses using remote sensing techniques and non-destructive physiological analysis. Global Science and Technology, v. 8, n. 2, p. 1-16, maio/ago. 2015.| Biblioteca(s): Embrapa Soja. |
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| 3. | | CRUSIOL, L. G. T.; CARVALHO, J. de F. C.; SIBALDELLI, R. N. R.; NEIVERTH, W.; RIO, A. do; FERREIRA, L. C.; PROCOPIO, S. de O.; MERTZ-HENNING, L. M.; NEPOMUCENO, A. L.; NEUMAIER, N.; FARIAS, J. R. B. NDVI variation according to the time of measurement, sampling size, positioning of sensor and water regime in different soybean cultivars. Precision Agriculture, v. 18, n. 4. p. 470-490, Aug. 2017.| Biblioteca(s): Embrapa Soja. |
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| 4. | | CRUSIOL, L. G. T.; CARVALHO, J. de F. C.; SIBALDELLI, R. N. R.; NEIVERTH, W.; RIO, A. do; FERREIRA, L. C.; PROCOPIO, S. de O.; MERTZ-HENNING, L. M.; NEPOMUCENO, A. L.; NEUMAIER, N.; FARIAS, J. R. B. NDVI variation according to the time of measurement, sampling size, positioning of sensor and water regime in different soybean cultivars. Precision Agriculture, v. 18, n. 4. p. 470-490, Aug. 2017.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| 5. | | RODRIGUES, F. A.; MARCOLINO-GOMES, J.; CARVALHO, J. de F. C.; NASCIMENTO, L. C. do; NEUMAIER, N.; FARIAS, J. R. B.; CARAZZOLLE, M. F.; MARCELINO, F. C.; NEPOMUCENO, A. L. Subtractive libraries for prospecting differentially expressed genes in the soybean under water deficit. Genetics and Molecular Biology, Ribeirão Preto, v. 35, n. 1, suppl., p. 304-314, May 2012.| Biblioteca(s): Embrapa Soja. |
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| 6. | | SANTOS, E. L. dos; CATTELAN, A. J.; PRETE, C. E. C.; NEUMAIER, N.; OLIVEIRA, M. C. N. de; FARIAS, J. R. B.; CARVALHO, J. de F. C.; NEPOMUCENO, A. L. Water stress affecting nodulation, oil, protein and grain yield of soybean cultivars. Global Science and Technology, Rio Verde, v. 5, n. 2, p. 109-120, mai./ago. 2012.| Biblioteca(s): Embrapa Soja. |
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| 7. | | MARINHO, J. P.; KANAMORI, N.; FERREIRA, L. C.; FUGANTI-PAGLIARINI, R.; CARVALHO, J. de F. C.; FREITAS, R. A.; MARIN, S. R. R.; RODRIGUES, F. A.; MERTZ-HENNING, L. M.; FARIAS, J. R. B.; NEUMAIER, N.; OLIVEIRA, M. C. N. de; MARCELINO-GUIMARÃES, F. C.; YOSHIDA, T.; FUJITA, Y.; YAMAGUCHI-SHINOZAKI, K.; NAKASHIMA, K.; NEPOMUCENO, A. L. Characterization of molecular and physiological responses under water deficit of genetically modified soybean plants overexpressing the ATAREB1 transcription fator. Plant Molecular Biology Reporter, v. 34, n. 2, p. 410-426, 2016.| Biblioteca(s): Embrapa Soja. |
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| 8. | | BARBOSA, E. G. G.; LEITE, J. P.; MARIN, S. R. R.; MARINHO, J. P.; CARVALHO, J. de F. C.; FUGANTI-PAGLIARINI, R.; FARIAS, J. R. B.; NEUMAIER, N.; MARCELINO-GUIMARÃES, F. C.; OLIVEIRA, M. C. N. de; YAMAGUCHI-SHINOZAKI, K.; NAKASHIMA, K.; MARUYAMA, K.; KANAMORI, N.; FUJITA, Y.; YOSHIDA, T.; NEPOMUCENO, A. L. Overexpression of the ABA-dependent AREB1 transcription Factor from Arabidopsis thaliana improves soybean tolerance to water deficit. Plant Molecular Biology Reporter, v. 31, n. 3, p. 719-730, jun. 2013.| Biblioteca(s): Embrapa Soja. |
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| 9. | | ROLLA, A. A. de P.; CARVALHO, J. de F. C.; FUGANTI-PAGLIARINI, R.; ENGELS, C.; RIO, A. do; MARIN, S. R. R.; OLIVEIRA, M. C. N. de; BENEVENTI, M. A.; MARCELINO-GUIMARÃES, F. C.; FARIAS, J. R. B.; NEUMAIER, N.; NAKASHIMA, K.; YAMAGUCHI-SHINOZAKI, K.; NEPOMUCENO, A. L. Phenotyping soybean plants transformed with rd29A:AtDREB1A for drought tolerance in the greenhouse and field. Transgenic Research, Dordrecht, v. 23, p. 75-87, 2014. 13 p.| Biblioteca(s): Embrapa Soja. |
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| 10. | | REIS, R. R.; DIAS, B. B. A.; MARTINS, P. K.; MARTINS, M. T. B.; ALEKCEVETCH, J. C.; JÚNIOR, A. C.; ANDRADE, A. C.; RIBEIRO, A. P.; QIND, F.; MIZOI, J.; SHINOZAKI, K. I.; NAKASHIMA, K.; CARVALHO, J. de F. C.; SOUSA, C. A. F. de; NEPOMUCENO, A. L.; KOBAYASHI, A. K.; MOLINARI, H. B. C. Induced over-expression of AtDREB2A CA improves drought tolerancein sugarcane. Plant Science, v. 221-222, p. 59-68, 2014.| Biblioteca(s): Embrapa Agroenergia. |
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| 11. | | REIS, R. R.; CUNHA, B. A. D. B. da; MARTINS, P. K.; MARTINS, M. T. B.; ALEKCEVETCH, J. C.; CHALFUN-JÚNIOR, A.; ANDRADE, A. C.; RIBEIRO, A. P.; QIN, F.; MIZOI, J.; YAMAGUCHI-SHINOZAKI, K.; NAKASHIMA, K.; CARVALHO, J. de F. C.; SOUSA, C. A. F. de; NEPOMUCENO, A. L.; KOBAYASHI, A. K.; MOLINARI, H. B. C. Induced over-expression of AtDREB2A CA improves drought tolerance in sugarcane. Plant Science, Limerick, v. 221-222, p. 59-68, May, 2014.| Biblioteca(s): Embrapa Soja. |
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| 12. | | REIS, R. R.; DIAS, B. B. A.; MARTINS, P. K.; MARTINS, M. T. B.; ALEKCEVETCH, J. C.; JÚNIOR, A. C.; ANDRADE, A. C.; RIBEIRO, A. P.; QIND, F.; MIZOI, J.; SHINOZAKI, K. I.; NAKASHIMA, K.; CARVALHO, J. de F. C.; SOUSA, C. A. F. de; NEPOMUCENO, A. L.; KOBAYASHI, A. K.; MOLINARI, H. B. C. Induced over-expression of AtDREB2A CA improves drought tolerance in sugarcane. Plant Science, v. 221-222, p. 59-68, 2014.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 12 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Tabuleiros Costeiros. Para informações adicionais entre em contato com cpatc.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Tabuleiros Costeiros. |
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Data corrente: |
26/01/2018 |
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Data da última atualização: |
26/01/2018 |
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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: |
CRUSIOL, L. G. T.; CARVALHO, J. de F. C.; SIBALDELLI, R. N. R.; NEIVERTH, W.; RIO, A. do; FERREIRA, L. C.; PROCOPIO, S. de O.; MERTZ-HENNING, L. M.; NEPOMUCENO, A. L.; NEUMAIER, N.; FARIAS, J. R. B. |
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Afiliação: |
LUIS GUILHERME TEIXEIRA CRUSIOL, UEL; JOSIRLEY DE FATIMA CORREA CARVALHO, Pós-graduanda; RUBSON NATAL RIBEIRO SIBALDELLI, UTFPR; WALKYRIA NEIVERTH, Pós-graduanda; ALEXANDRE DO RIO, ESALQ; LEONARDO CESAR FERREIRA; SERGIO DE OLIVEIRA PROCOPIO, CPATC; LILIANE MARCIA MERTZ HENNING, CNPSO; ALEXANDRE LIMA NEPOMUCENO, CNPSO; NORMAN NEUMAIER, CNPSO; JOSE RENATO BOUCAS FARIAS, CNPSO. |
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Título: |
NDVI variation according to the time of measurement, sampling size, positioning of sensor and water regime in different soybean cultivars. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Precision Agriculture, v. 18, n. 4. p. 470-490, Aug. 2017. |
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DOI: |
10.1007/s11119-016-9465-6 |
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Idioma: |
Inglês |
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Conteúdo: |
Although the information on the Normalized Difference Vegetation Index (NDVI) in plants under water deficit is often obtained from sensors attached to satellites, the increasing data acquisition with portable sensors has wide applicability in agricultural production because it is a fast, nondestructive method, and is less prone to interference problems. Thus, we carried out a set of experiments to investigate the influence of time, spatial plant arrangements, sampling size, height of the sensor and water regimes on NDVI readings in different soybean cultivars in greenhouse and field trials during the crop seasons 2011/12, 2012/13 and 2013/14. In experiments where plants were always evaluated under well-watered conditions, we observed that 9 a.m. was the most suitable time for NDVI readings regardless of the soybean cultivar, spatial arrangement or environment. Furthermore, there was no difference among NDVI readings in relation to the sampling size, regardless of the date or cultivar. We also observed that NDVI tended to decrease according to the higher height of the sensor in relation to the canopy top, with higher values tending to be at 0.8 m, but with no significant difference relative to 1.0 m? the height we adopted in our experiments. When different water regimes were induced under field conditions, NDVI readings measured at 9 a.m. by using a portable sensor were
successful to differentiate soybean cultivars with contrasting responses to drought. |
|
Thesagro: |
Agricultura de precisão; Relação água-planta; Sensoriamento remoto; Soja; Variedade. |
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Thesaurus NAL: |
Canopy; Cultivars; Plant-water relations; Precision agriculture; Remote sensing; Soybeans. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 02646naa a2200385 a 4500
001 2086495
005 2018-01-26
008 2017 bl --- 0-- u #d
024 7 $a10.1007/s11119-016-9465-6$2DOI
100 1 $aCRUSIOL, L. G. T.
245 $aNDVI variation according to the time of measurement, sampling size, positioning of sensor and water regime in different soybean cultivars.$h[electronic resource]
260 $c2017
520 $aAlthough the information on the Normalized Difference Vegetation Index (NDVI) in plants under water deficit is often obtained from sensors attached to satellites, the increasing data acquisition with portable sensors has wide applicability in agricultural production because it is a fast, nondestructive method, and is less prone to interference problems. Thus, we carried out a set of experiments to investigate the influence of time, spatial plant arrangements, sampling size, height of the sensor and water regimes on NDVI readings in different soybean cultivars in greenhouse and field trials during the crop seasons 2011/12, 2012/13 and 2013/14. In experiments where plants were always evaluated under well-watered conditions, we observed that 9 a.m. was the most suitable time for NDVI readings regardless of the soybean cultivar, spatial arrangement or environment. Furthermore, there was no difference among NDVI readings in relation to the sampling size, regardless of the date or cultivar. We also observed that NDVI tended to decrease according to the higher height of the sensor in relation to the canopy top, with higher values tending to be at 0.8 m, but with no significant difference relative to 1.0 m? the height we adopted in our experiments. When different water regimes were induced under field conditions, NDVI readings measured at 9 a.m. by using a portable sensor were successful to differentiate soybean cultivars with contrasting responses to drought.
650 $aCanopy
650 $aCultivars
650 $aPlant-water relations
650 $aPrecision agriculture
650 $aRemote sensing
650 $aSoybeans
650 $aAgricultura de precisão
650 $aRelação água-planta
650 $aSensoriamento remoto
650 $aSoja
650 $aVariedade
700 1 $aCARVALHO, J. de F. C.
700 1 $aSIBALDELLI, R. N. R.
700 1 $aNEIVERTH, W.
700 1 $aRIO, A. do
700 1 $aFERREIRA, L. C.
700 1 $aPROCOPIO, S. de O.
700 1 $aMERTZ-HENNING, L. M.
700 1 $aNEPOMUCENO, A. L.
700 1 $aNEUMAIER, N.
700 1 $aFARIAS, J. R. B.
773 $tPrecision Agriculture$gv. 18, n. 4. p. 470-490, Aug. 2017.
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