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| Registros recuperados : 11 | |
| 3. |  | FARIA, O. A. C.; CAIXETA, F. M.; DIAS, L. R. O.; SPRÍCIGO, J. F. W.; DODE, M. A. N. Effect of the anticipation of intrafollicular transfer of immature oocytes (IFIOT) in the nuclear maturation of bovine oocyte. Animal Reproduction, v. 16, n. 3, p. 587, Jul./Sept. 2019. Edição dos Proceedings of the 33nd Annual Meeting of the Brazilian Embryo Technology Society (SBTE); Ilha da Comandatuba, BA, Brazil, August 15th to 19th, 2019.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 4. | | DIAS, L. R. O.; LEME, L. O.; SPRÍCIGO, J. F. W.; PIVATO, I.; DODE, M. A. N. Effect of delipidant agents during in vitro culture on the development, lipid content, gene expression, and cryotolerance of bovine embryos. Reproduction in Domestic Animals, v. 55, p. 11-20, 2020.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 5. | | VIANA, J. H. M.; PEREIRA, N. E. S.; FARIA, O. A. C.; DIAS, L. R. O.; OLIVEIRA, E. R.; FERNANDES, C. A. C.; SIQUEIRA, L. G. B. Active immunization against GnRH as an alternative therapeutic approach for the management of Bos indicus oocyte donors diagnosed with chronic cystic ovarian disease. Theriogenology, v. 172, p. 133-141, 2021.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Recursos Genéticos e Biotecnologia. |
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| 6. | | CUNHA, A. M.; GUIMARÃES, A. L. S.; LEME, L. O.; CARVALHO, J. de O.; DIAS, L. R. O.; DODE, M. A. N. Embryo production using epididymal sperm submitted to different selection methods and their influence on the embryo sex. Animal Reprodroduction, v. 14, n. 3, p. 820, Jul./Sept. 2017. Proceedings of the 31st Annual Meeting of the Brazilian Embryo Technology Society (SBTE); Cabo de Santo Agostinho, PE, Brazil, August 17th to 19th, 2017. Abstracts| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 7. | | DIAS, L. R. O.; SILVA, V. A. O.; FARIA, O. A. C.; CAIXETA, F. M. C.; SPRÍCIGO, J. F. W.; DODE, M. A. N. Embryos production from bovine oocytes matured in vivo using intrafollicular transfer of immature oocytes (TIFOI). Animal Reproduction, v. 15, n. 3, p. 428, Jul./Sept. 2018. Proceedings of the 32nd Annual Meeting of the Brazilian Embryo Technology Society (SBTE); Florianópolis, SC, Brazil, August 16th to 18th, 2018. Abstracts.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 8. | | SILVA, V. A.; FARIA, O. A. C.; DIAS, L. R. O.; CAIXETA, F. M. C.; SPRÍCIGO, J. F. W.; DODE, M. A. N. Inhibition of meiosis resumption in bovine oocytes to be used in the intrafollicular transfer of immature oocyte (TIFOI). Animal Reproduction, v. 15, n. 3, p. 456, Jul./Sept. 2018. Proceedings of the 32nd Annual Meeting of the Brazilian Embryo Technology Society (SBTE); Florianópolis, SC, Brazil, August 16th to 18th, 2018. Abstracts.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 9. | | DIAS, L. R. O.; FARIA, O. A.; CAIXETA, F. M. C.; RODRIGUES, S. de A. D.; SPRÍCIGO, J. F. W.; DODE, M. A. N. Nuclear maturation of bovine oocytes submitted to the in vivo maturation using intrafollicular transfer of immature oocytes (IFIOT) system. Animal Reprodroduction, v. 14, n. 3, p. 761, Jul./Sept. 2017. Proceedings of the 31st Annual Meeting of the Brazilian Embryo Technology Society (SBTE); Cabo de Santo Agostinho, PE, Brazil, August 17th to 19th, 2017. Abstracts| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 10. | | LOPES, D. T.; VIU, M. A. O.; FERRAZ, H. T.; MASCIOLI, A. S.; VIU, A. F. M.; DIAS, L. R. O.; SANTOS, K. J. G.; MAGNABOSCO, C. de U. Associação entre características andrológicas e de carcaça em touros nelore. Archivos de Zootecnia, v. 63, n. 243, p. 543-546, 2014. p. 543-546| Biblioteca(s): Embrapa Cerrados. |
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| 11. | | FARIA, O. A. C.; KAWAMOTO, T. S.; DIAS, L. R. O.; FIDELIS, A. A. G.; LEME, L. O.; CAIXETA, F. M. C.; GOMES, A. C. M. M.; SPRÍCIGO, J. F. W.; DODE, M. A. N. Maturation system affects lipid accumulation in bovine oocytes. Reproduction, Fertility and Development, v. 33, n. 5, 372-380, 2021.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 11 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
29/06/2020 |
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Data da última atualização: |
03/07/2020 |
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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: |
MACIEL, D. A.; SILVA, V. A.; ALVES, H. M. R.; VOLPATO, M. M. L.; BARBOSA, J. P. R. A. de; SOUZA, V. C. O.; SANTOS, M. O.; SILVEIRA, H. R. DE O.; DANTAS, M. F.; FREITAS, A. F. de; SANTOS, J. O. DOS. |
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Afiliação: |
DANIEL ANDRADE MACIEL, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; VÂNIA APARECIDA SILVA, EPAMIG; HELENA MARIA RAMOS ALVES, CNPCa; MARGARETE MARIN LORDELO VOLPATO, EPAMIG; JOÃO PAULO RODRIGUES ALVES DE BARBOSA, UNIVERSIDADE FEDERAL DE LAVRAS; VANESSA CRISTINA OLIVEIRA SOUZA, UNIVERSIDADE FEDERAL DE ITAJUBÁ; MELINE OLIVEIRA SANTOS, EPAMIG; HELBERT REZENDE DE OLIVEIRA SILVEIRA, EPAMIG; MAYARA FONTES DANTAS, EPAMIG; ANA FLÁVIA DE FREITAS, EPAMIG; JACQUELINE OLIVEIRA DOS SANTOS, EPAMIG. |
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Título: |
Leaf water potential of coffee estimated by landsat-8 images. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Plos One, v. 15, n. 3, e031019, Mar. 2020. |
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DOI: |
https://doi.org/10.1371/journal.pone.0230013 |
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Idioma: |
Português |
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Conteúdo: |
Traditionally, water conditions of coffee areas are monitored by measuring the leaf water potential throughout a pressure pump. However, there is a demand for the development of technologies that can estimate large areas or regions. In this context, the objective of this study was to estimate the WW by surface reflectance values and vegetation indices obtained from the Landsat-8/OLI sensor in Minas Gerais-Brazil Several algorithms using OLI bands and vegetation indexes were evaluated and from the correlation analysis, a quadratic algorithm that uses the Normalized Difference Vegetation Index (NDVI) performed better, with a correlation coefficient (R2) of 0.82. Leave-One-Out Cross-Validation (LOOCV) was performed to validate the models and the best results were for NDVI quadratic algorithm, presenting a Mean Absolute Percentage Error (MAPE) of 27.09% and an R2 of 0.85. Subsequently, the NDVI quadratic algorithm was applied to Landsat-8 images, aiming to spatialize the WW estimated in a representative area of regional coffee planting between September 2014 to July 2015. From the proposed algorithm, it was possible to estimate WW from Landsat-8/OLI imagery, contributing to drought monitoring in the coffee area leading to cost reduction to the producers. |
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Thesagro: |
Área Foliar; Café; Potencial Hídrico; Produção Agrícola. |
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Thesaurus NAL: |
Coffee beans; Leaf water potential; Plantations; Remote sensing. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/214268/1/Leaf-water-petential.pdf
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|
Marc: |
LEADER 02267naa a2200349 a 4500
001 2123511
005 2020-07-03
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1371/journal.pone.0230013$2DOI
100 1 $aMACIEL, D. A.
245 $aLeaf water potential of coffee estimated by landsat-8 images.$h[electronic resource]
260 $c2020
520 $aTraditionally, water conditions of coffee areas are monitored by measuring the leaf water potential throughout a pressure pump. However, there is a demand for the development of technologies that can estimate large areas or regions. In this context, the objective of this study was to estimate the WW by surface reflectance values and vegetation indices obtained from the Landsat-8/OLI sensor in Minas Gerais-Brazil Several algorithms using OLI bands and vegetation indexes were evaluated and from the correlation analysis, a quadratic algorithm that uses the Normalized Difference Vegetation Index (NDVI) performed better, with a correlation coefficient (R2) of 0.82. Leave-One-Out Cross-Validation (LOOCV) was performed to validate the models and the best results were for NDVI quadratic algorithm, presenting a Mean Absolute Percentage Error (MAPE) of 27.09% and an R2 of 0.85. Subsequently, the NDVI quadratic algorithm was applied to Landsat-8 images, aiming to spatialize the WW estimated in a representative area of regional coffee planting between September 2014 to July 2015. From the proposed algorithm, it was possible to estimate WW from Landsat-8/OLI imagery, contributing to drought monitoring in the coffee area leading to cost reduction to the producers.
650 $aCoffee beans
650 $aLeaf water potential
650 $aPlantations
650 $aRemote sensing
650 $aÁrea Foliar
650 $aCafé
650 $aPotencial Hídrico
650 $aProdução Agrícola
700 1 $aSILVA, V. A.
700 1 $aALVES, H. M. R.
700 1 $aVOLPATO, M. M. L.
700 1 $aBARBOSA, J. P. R. A. de
700 1 $aSOUZA, V. C. O.
700 1 $aSANTOS, M. O.
700 1 $aSILVEIRA, H. R. DE O.
700 1 $aDANTAS, M. F.
700 1 $aFREITAS, A. F. de
700 1 $aSANTOS, J. O. DOS
773 $tPlos One$gv. 15, n. 3, e031019, Mar. 2020.
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Embrapa Café (CNPCa) |
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