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3. | | OLIVEIRA, T. K. de; AMARAL, E. F. do; BARDALES, N. G.; ARAÚJO, E. A. de. Aptidão agroflorestal dos solos da área de inserção do Projeto Reca. In: OLIVEIRA, T. K. de; AMARAL, E. F. do; FRANKE, I. L. (ed.). Aspectos produtivos e ambientais de sistemas agroflorestais no Projeto Reca. Brasília, DF: Embrapa, 2023. cap. 5, p. 75-114. Biblioteca(s): Embrapa Acre. |
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20. | | AMARAL, E. F. do; LANI, J. L.; BARDALES, N. G.; ARAÚJO, E. A. de. Origem, formação e diversidade dos solos do Acre. In: AMARAL, E. F. do; GONÇALVES, R. C. (ed.). Zoneamento pedoclimático para a seringueira no Estado do Acre. Rio Branco, AC: Embrapa Acre, 2021. cap. 2, p. 61-102. Biblioteca(s): Embrapa Acre. |
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Registro Completo
Biblioteca(s): |
Embrapa Tabuleiros Costeiros. |
Data corrente: |
26/01/2018 |
Data da última atualização: |
26/01/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
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. |
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. |
Título: |
NDVI variation according to the time of measurement, sampling size, positioning of sensor and water regime in different soybean cultivars. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Precision Agriculture, v. 18, n. 4. p. 470-490, Aug. 2017. |
DOI: |
10.1007/s11119-016-9465-6 |
Idioma: |
Inglês |
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. |
Thesaurus NAL: |
Canopy; Cultivars; Plant-water relations; Precision agriculture; Remote sensing; Soybeans. |
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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