Use of active optical sensor in the characteristics analysis of the fertigated brachiaria with treated sewage

Detalhes bibliográficos
Autor(a) principal: Santos, Gilmar O.
Data de Publicação: 2017
Outros Autores: Rosalen, David L. [UNESP], De Faria, Rogério T. [UNESP]
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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spelling 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
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