Hemispherical photography to estimate biophysical variables of cotton.

Detalhes bibliográficos
Autor(a) principal: BRANDAO, Z. N.
Data de Publicação: 2016
Outros Autores: ZONTA, J. H.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066084
Resumo: The Leaf Area Index (LAI) is a key parameter to evaluate the vegetation spectral response, estimating plant nutrition and water requirements. However, in large fields is difficult to obtain accurate data to LAI determination. Therefore, the objective of this study was the estimation of LAI, biomass and yield of irrigated cotton through digital hemispherical photography. The treatments consisted of four nitrogen doses (0, 90, 180 and 270 kg ha-1) and four phosphorus doses (0, 120, 240 and 360 kg ha-1). Digital hemispherical photographs were collected under similar sky brightness conditions at 60 and 75 days after emergence (DAE), performed by the Digital Plant Canopy Imager - CI-110® of CID Inc. Biomass and LAI measurements were made on the same dates. LAI was also determined by destructive and non-destructive methods through a leaf area integrator (LI-COR® -LI-3100C model), and by measurements based on the midrib length of all leaves, respectively. The results indicate that the hemispherical images were appropriate to estimate the LAI and biomass production of irrigated cotton, while for the estimation of yield, more research is needed to improve the method.
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spelling Hemispherical photography to estimate biophysical variables of cotton.AlgodãoBiomassaCottonBiomassThe Leaf Area Index (LAI) is a key parameter to evaluate the vegetation spectral response, estimating plant nutrition and water requirements. However, in large fields is difficult to obtain accurate data to LAI determination. Therefore, the objective of this study was the estimation of LAI, biomass and yield of irrigated cotton through digital hemispherical photography. The treatments consisted of four nitrogen doses (0, 90, 180 and 270 kg ha-1) and four phosphorus doses (0, 120, 240 and 360 kg ha-1). Digital hemispherical photographs were collected under similar sky brightness conditions at 60 and 75 days after emergence (DAE), performed by the Digital Plant Canopy Imager - CI-110® of CID Inc. Biomass and LAI measurements were made on the same dates. LAI was also determined by destructive and non-destructive methods through a leaf area integrator (LI-COR® -LI-3100C model), and by measurements based on the midrib length of all leaves, respectively. The results indicate that the hemispherical images were appropriate to estimate the LAI and biomass production of irrigated cotton, while for the estimation of yield, more research is needed to improve the method.ZIANY NEIVA BRANDAO, CNPA; JOAO HENRIQUE ZONTA, CNPA.BRANDAO, Z. N.ZONTA, J. H.2017-03-03T11:11:11Z2017-03-03T11:11:11Z2017-03-0320162017-03-03T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Engenharia Agrícola e Ambiental, v. 20, n. 9, p. 789-794, 2016.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066084enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:00:14Zoai:www.alice.cnptia.embrapa.br:doc/1066084Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T04:00:14falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:00:14Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Hemispherical photography to estimate biophysical variables of cotton.
title Hemispherical photography to estimate biophysical variables of cotton.
spellingShingle Hemispherical photography to estimate biophysical variables of cotton.
BRANDAO, Z. N.
Algodão
Biomassa
Cotton
Biomass
title_short Hemispherical photography to estimate biophysical variables of cotton.
title_full Hemispherical photography to estimate biophysical variables of cotton.
title_fullStr Hemispherical photography to estimate biophysical variables of cotton.
title_full_unstemmed Hemispherical photography to estimate biophysical variables of cotton.
title_sort Hemispherical photography to estimate biophysical variables of cotton.
author BRANDAO, Z. N.
author_facet BRANDAO, Z. N.
ZONTA, J. H.
author_role author
author2 ZONTA, J. H.
author2_role author
dc.contributor.none.fl_str_mv ZIANY NEIVA BRANDAO, CNPA; JOAO HENRIQUE ZONTA, CNPA.
dc.contributor.author.fl_str_mv BRANDAO, Z. N.
ZONTA, J. H.
dc.subject.por.fl_str_mv Algodão
Biomassa
Cotton
Biomass
topic Algodão
Biomassa
Cotton
Biomass
description The Leaf Area Index (LAI) is a key parameter to evaluate the vegetation spectral response, estimating plant nutrition and water requirements. However, in large fields is difficult to obtain accurate data to LAI determination. Therefore, the objective of this study was the estimation of LAI, biomass and yield of irrigated cotton through digital hemispherical photography. The treatments consisted of four nitrogen doses (0, 90, 180 and 270 kg ha-1) and four phosphorus doses (0, 120, 240 and 360 kg ha-1). Digital hemispherical photographs were collected under similar sky brightness conditions at 60 and 75 days after emergence (DAE), performed by the Digital Plant Canopy Imager - CI-110® of CID Inc. Biomass and LAI measurements were made on the same dates. LAI was also determined by destructive and non-destructive methods through a leaf area integrator (LI-COR® -LI-3100C model), and by measurements based on the midrib length of all leaves, respectively. The results indicate that the hemispherical images were appropriate to estimate the LAI and biomass production of irrigated cotton, while for the estimation of yield, more research is needed to improve the method.
publishDate 2016
dc.date.none.fl_str_mv 2016
2017-03-03T11:11:11Z
2017-03-03T11:11:11Z
2017-03-03
2017-03-03T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental, v. 20, n. 9, p. 789-794, 2016.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066084
identifier_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental, v. 20, n. 9, p. 789-794, 2016.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066084
dc.language.iso.fl_str_mv eng
language eng
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instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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