Nitrogen doses in topdressing affect vegetation indices and corn yield
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
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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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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1797069080288559104 |