Use of active optical sensor in the characteristics analysis of the fertigated brachiaria with treated sewage
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/1809-4430-eng.agric.v37n6p1213-1221/2017 http://hdl.handle.net/11449/170394 |
Resumo: | Through the use of remote sensing, the productivity and the nutritional state of the plants can be estimated in relation to the nitrogen doses due to the modification of the canopy reflectance. In this study, values of the normalized difference vegetation index (NDVI) obtained by a terrestrial optical sensor were correlated with productivity and contents of nitrogen (N) and of foliar crude protein (CP) of Brachiaria brizantha cv. Marandu, fertigated with doses of sewage treatment effluent (STE) The NDVI average rates of the forage were obtained by the active terrestrial sensor (GreenSeeker) before the harvests that were realized every 28 days in 2014. Five fertigated treatments with the following fractions of STE in water were evaluated: E5 = 1.0; E4 = 0.87; E3 = 0.60; E2 = 0.31; and E1 = 0.11. During the 12 months of experiment, the treatment E5 received 1,132 kg ha-1 of N and the others received quantities proportional according to the application fractions defined in each treatment. The increasing application doses of STE resulted in higher yields of dry biomass and better leaf qualities in N and crude protein (CP). The productivity, the foliar N content and the NDVI index were increasing due to the gradual application of applied STE. There was a high linear correlation among the NDVI indexes and the productivity (r > 0.9256) and with the N content (r > 0.9570) and also for CP (r > 0.8421) and leaf N (r > 0.8339), demonstrating that the method can be used to estimate forage productivity and quality. |
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Repositório Institucional da UNESP |
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Use of active optical sensor in the characteristics analysis of the fertigated brachiaria with treated sewageForage production estimationGreenSeekerTerrestrial remote sensingThrough the use of remote sensing, the productivity and the nutritional state of the plants can be estimated in relation to the nitrogen doses due to the modification of the canopy reflectance. In this study, values of the normalized difference vegetation index (NDVI) obtained by a terrestrial optical sensor were correlated with productivity and contents of nitrogen (N) and of foliar crude protein (CP) of Brachiaria brizantha cv. Marandu, fertigated with doses of sewage treatment effluent (STE) The NDVI average rates of the forage were obtained by the active terrestrial sensor (GreenSeeker) before the harvests that were realized every 28 days in 2014. Five fertigated treatments with the following fractions of STE in water were evaluated: E5 = 1.0; E4 = 0.87; E3 = 0.60; E2 = 0.31; and E1 = 0.11. During the 12 months of experiment, the treatment E5 received 1,132 kg ha-1 of N and the others received quantities proportional according to the application fractions defined in each treatment. The increasing application doses of STE resulted in higher yields of dry biomass and better leaf qualities in N and crude protein (CP). The productivity, the foliar N content and the NDVI index were increasing due to the gradual application of applied STE. There was a high linear correlation among the NDVI indexes and the productivity (r > 0.9256) and with the N content (r > 0.9570) and also for CP (r > 0.8421) and leaf N (r > 0.8339), demonstrating that the method can be used to estimate forage productivity and quality.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)University of Rio VerdeSão Paulo State University (UNESP)São Paulo State University (UNESP)FAPESP: 2012/12923-3FAPESP: 2013/00362University of Rio VerdeUniversidade Estadual Paulista (Unesp)Santos, Gilmar O.Rosalen, David L. [UNESP]De Faria, Rogério T. [UNESP]2018-12-11T16:50:36Z2018-12-11T16:50:36Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1213-1221application/pdfhttp://dx.doi.org/10.1590/1809-4430-eng.agric.v37n6p1213-1221/2017Engenharia Agricola, v. 37, n. 6, p. 1213-1221, 2017.1808-43890100-6916http://hdl.handle.net/11449/17039410.1590/1809-4430-eng.agric.v37n6p1213-1221/2017S0100-691620170006012132-s2.0-85034588534S0100-69162017000601213.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngenharia Agricola0,305info:eu-repo/semantics/openAccess2023-11-01T06:12:20Zoai:repositorio.unesp.br:11449/170394Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:37:51.887012Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Use of active optical sensor in the characteristics analysis of the fertigated brachiaria with treated sewage |
title |
Use of active optical sensor in the characteristics analysis of the fertigated brachiaria with treated sewage |
spellingShingle |
Use of active optical sensor in the characteristics analysis of the fertigated brachiaria with treated sewage Santos, Gilmar O. Forage production estimation GreenSeeker Terrestrial remote sensing |
title_short |
Use of active optical sensor in the characteristics analysis of the fertigated brachiaria with treated sewage |
title_full |
Use of active optical sensor in the characteristics analysis of the fertigated brachiaria with treated sewage |
title_fullStr |
Use of active optical sensor in the characteristics analysis of the fertigated brachiaria with treated sewage |
title_full_unstemmed |
Use of active optical sensor in the characteristics analysis of the fertigated brachiaria with treated sewage |
title_sort |
Use of active optical sensor in the characteristics analysis of the fertigated brachiaria with treated sewage |
author |
Santos, Gilmar O. |
author_facet |
Santos, Gilmar O. Rosalen, David L. [UNESP] De Faria, Rogério T. [UNESP] |
author_role |
author |
author2 |
Rosalen, David L. [UNESP] De Faria, Rogério T. [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
University of Rio Verde Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Santos, Gilmar O. Rosalen, David L. [UNESP] De Faria, Rogério T. [UNESP] |
dc.subject.por.fl_str_mv |
Forage production estimation GreenSeeker Terrestrial remote sensing |
topic |
Forage production estimation GreenSeeker Terrestrial remote sensing |
description |
Through the use of remote sensing, the productivity and the nutritional state of the plants can be estimated in relation to the nitrogen doses due to the modification of the canopy reflectance. In this study, values of the normalized difference vegetation index (NDVI) obtained by a terrestrial optical sensor were correlated with productivity and contents of nitrogen (N) and of foliar crude protein (CP) of Brachiaria brizantha cv. Marandu, fertigated with doses of sewage treatment effluent (STE) The NDVI average rates of the forage were obtained by the active terrestrial sensor (GreenSeeker) before the harvests that were realized every 28 days in 2014. Five fertigated treatments with the following fractions of STE in water were evaluated: E5 = 1.0; E4 = 0.87; E3 = 0.60; E2 = 0.31; and E1 = 0.11. During the 12 months of experiment, the treatment E5 received 1,132 kg ha-1 of N and the others received quantities proportional according to the application fractions defined in each treatment. The increasing application doses of STE resulted in higher yields of dry biomass and better leaf qualities in N and crude protein (CP). The productivity, the foliar N content and the NDVI index were increasing due to the gradual application of applied STE. There was a high linear correlation among the NDVI indexes and the productivity (r > 0.9256) and with the N content (r > 0.9570) and also for CP (r > 0.8421) and leaf N (r > 0.8339), demonstrating that the method can be used to estimate forage productivity and quality. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 2018-12-11T16:50:36Z 2018-12-11T16:50:36Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/1809-4430-eng.agric.v37n6p1213-1221/2017 Engenharia Agricola, v. 37, n. 6, p. 1213-1221, 2017. 1808-4389 0100-6916 http://hdl.handle.net/11449/170394 10.1590/1809-4430-eng.agric.v37n6p1213-1221/2017 S0100-69162017000601213 2-s2.0-85034588534 S0100-69162017000601213.pdf |
url |
http://dx.doi.org/10.1590/1809-4430-eng.agric.v37n6p1213-1221/2017 http://hdl.handle.net/11449/170394 |
identifier_str_mv |
Engenharia Agricola, v. 37, n. 6, p. 1213-1221, 2017. 1808-4389 0100-6916 10.1590/1809-4430-eng.agric.v37n6p1213-1221/2017 S0100-69162017000601213 2-s2.0-85034588534 S0100-69162017000601213.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Engenharia Agricola 0,305 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1213-1221 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128680769093632 |