Nitrogen doses in topdressing affect vegetation indices and corn yield

Detalhes bibliográficos
Autor(a) principal: Baio, Fabio Henrique Rojo
Data de Publicação: 2019
Outros Autores: Silva, Eder Eujácio da, Scarpim, Igor Mendes, Campos, Cid Naudi da Silva, Teodoro, Paulo Eduardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/42292
Resumo: Nitrogen is the main nutrient required by corn crop, especially in Cerrado soils. Remote sensing techniques can be used to generate additional information now of nitrogen fertilization recommendation. This work investigated the association of plant height and dry matter phenological variables together with NDVI, REDEDGE, SAVI, and IV 760/550 vegetation indices (VIs) with corn grain yield, under different N doses. Sowing occurred in November 2016, at a spacing of 0.45 m between rows and a 60,000 ha-1 plant population. Four N doses (0, 80, 160, and 240 kg of N ha-1) were applied at phenological stage V4. The experimental design consisted of randomized blocks, containing four N doses in topdressing and 16 replications. The active optical sensor Crop Circle ACS-470 was used to obtain the VIs. The NDVI, SAVI, and RE indices have a high positive association with each other and with the variables plant height and dry matter. Polynomial regression equations were adjusted between the variables in response as doses of N. Afterwards, they were estimated as correlations between variables and results expressed through the network of correlations. Finally, a multivariate analysis of canonical variables was performed to understand the interrelationship between the variables and each dose of N applied. NDVI and RE have a positive relationship of moderate magnitude with grain yield in corn crops.
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spelling Nitrogen doses in topdressing affect vegetation indices and corn yieldDeses de nitrogênio em cobertura afetam índices de vegetação e produtividade de milhomultivariate analysisremote sensingcorrelation networkZea mays.Agricultural SciencesNitrogen is the main nutrient required by corn crop, especially in Cerrado soils. Remote sensing techniques can be used to generate additional information now of nitrogen fertilization recommendation. This work investigated the association of plant height and dry matter phenological variables together with NDVI, REDEDGE, SAVI, and IV 760/550 vegetation indices (VIs) with corn grain yield, under different N doses. Sowing occurred in November 2016, at a spacing of 0.45 m between rows and a 60,000 ha-1 plant population. Four N doses (0, 80, 160, and 240 kg of N ha-1) were applied at phenological stage V4. The experimental design consisted of randomized blocks, containing four N doses in topdressing and 16 replications. The active optical sensor Crop Circle ACS-470 was used to obtain the VIs. The NDVI, SAVI, and RE indices have a high positive association with each other and with the variables plant height and dry matter. Polynomial regression equations were adjusted between the variables in response as doses of N. Afterwards, they were estimated as correlations between variables and results expressed through the network of correlations. Finally, a multivariate analysis of canonical variables was performed to understand the interrelationship between the variables and each dose of N applied. NDVI and RE have a positive relationship of moderate magnitude with grain yield in corn crops.: O nitrogênio (N) é o principal nutriente requerido pela cultura do milho, principalmente em solos do Cerrado. Técnicas de sensoriamento remoto podem ser usadas para gerar informações adicionais agora sobre a recomendação de fertilização nitrogenada. Este trabalho investigou a associação de variáveis ​​fenológicas de altura de plantas e matéria seca com os índices de vegetação (IVs) NDVI, REDEDGE, SAVI e IV 760/550 com a produtividade de grãos de milho, sob diferentes doses de N. A semeadura ocorreu em novembro de 2016, com espaçamento de 0,45 m entre linhas e 60.000 ha-1 de população de plantas. Quatro doses de N (0, 80, 160 e 240 kg de N ha-1) foram aplicadas no estádio fenológico V4. O delineamento experimental foi o de blocos casualizados contendo quatro doses de N em cobertura e 16 repetições. O sensor óptico ativo Crop Circle ACS-470 foi usado para obter os IVs. Equações de regressão polinomial foram ajustadas entre as variáveis ​​em resposta como doses de N. Posteriormente, foram estimadas como correlações entre variáveis ​​e resultados expressos através da rede de correlações. Por fim, foi realizada uma análise multivariada de variáveis ​​canônicas para entender a inter-relação entre as variáveis ​​e cada dose de N aplicada. Os índices NDVI, SAVI e RE apresentam alta associação positiva entre si e com as variáveis ​​altura de planta e matéria seca. NDVI e REDEDGE têm uma relação positiva de magnitude moderada com a produtividade de grãos na cultura do milho.EDUFU2019-10-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/4229210.14393/BJ-v35n5a2019-42292Bioscience Journal ; Vol. 35 No. 5 (2019): Sept./Oct.; 1432-1437Bioscience Journal ; v. 35 n. 5 (2019): Sept./Oct.; 1432-14371981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/42292/27065Brazil; ContemporaryCopyright (c) 2019 Fabio Henrique Rojo Baio, Eder Eujácio da Silva, Igor Mendes Scarpim, Cid Naudi da Silva Campos, Paulo Eduardo Teodorohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBaio, Fabio Henrique Rojo Silva, Eder Eujácio da Scarpim, Igor Mendes Campos, Cid Naudi da Silva Teodoro, Paulo Eduardo2022-01-26T03:07:59Zoai:ojs.www.seer.ufu.br:article/42292Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-01-26T03:07:59Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Nitrogen doses in topdressing affect vegetation indices and corn yield
Deses de nitrogênio em cobertura afetam índices de vegetação e produtividade de milho
title Nitrogen doses in topdressing affect vegetation indices and corn yield
spellingShingle Nitrogen doses in topdressing affect vegetation indices and corn yield
Baio, Fabio Henrique Rojo
multivariate analysis
remote sensing
correlation network
Zea mays.
Agricultural Sciences
title_short Nitrogen doses in topdressing affect vegetation indices and corn yield
title_full Nitrogen doses in topdressing affect vegetation indices and corn yield
title_fullStr Nitrogen doses in topdressing affect vegetation indices and corn yield
title_full_unstemmed Nitrogen doses in topdressing affect vegetation indices and corn yield
title_sort Nitrogen doses in topdressing affect vegetation indices and corn yield
author Baio, Fabio Henrique Rojo
author_facet Baio, Fabio Henrique Rojo
Silva, Eder Eujácio da
Scarpim, Igor Mendes
Campos, Cid Naudi da Silva
Teodoro, Paulo Eduardo
author_role author
author2 Silva, Eder Eujácio da
Scarpim, Igor Mendes
Campos, Cid Naudi da Silva
Teodoro, Paulo Eduardo
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Baio, Fabio Henrique Rojo
Silva, Eder Eujácio da
Scarpim, Igor Mendes
Campos, Cid Naudi da Silva
Teodoro, Paulo Eduardo
dc.subject.por.fl_str_mv multivariate analysis
remote sensing
correlation network
Zea mays.
Agricultural Sciences
topic multivariate analysis
remote sensing
correlation network
Zea mays.
Agricultural Sciences
description Nitrogen is the main nutrient required by corn crop, especially in Cerrado soils. Remote sensing techniques can be used to generate additional information now of nitrogen fertilization recommendation. This work investigated the association of plant height and dry matter phenological variables together with NDVI, REDEDGE, SAVI, and IV 760/550 vegetation indices (VIs) with corn grain yield, under different N doses. Sowing occurred in November 2016, at a spacing of 0.45 m between rows and a 60,000 ha-1 plant population. Four N doses (0, 80, 160, and 240 kg of N ha-1) were applied at phenological stage V4. The experimental design consisted of randomized blocks, containing four N doses in topdressing and 16 replications. The active optical sensor Crop Circle ACS-470 was used to obtain the VIs. The NDVI, SAVI, and RE indices have a high positive association with each other and with the variables plant height and dry matter. Polynomial regression equations were adjusted between the variables in response as doses of N. Afterwards, they were estimated as correlations between variables and results expressed through the network of correlations. Finally, a multivariate analysis of canonical variables was performed to understand the interrelationship between the variables and each dose of N applied. NDVI and RE have a positive relationship of moderate magnitude with grain yield in corn crops.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/42292
10.14393/BJ-v35n5a2019-42292
url https://seer.ufu.br/index.php/biosciencejournal/article/view/42292
identifier_str_mv 10.14393/BJ-v35n5a2019-42292
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/42292/27065
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 35 No. 5 (2019): Sept./Oct.; 1432-1437
Bioscience Journal ; v. 35 n. 5 (2019): Sept./Oct.; 1432-1437
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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