Genotype × trait biplot and canonical correlations for spectral and agronomic traits in corn
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1002/agj2.20581 http://hdl.handle.net/11449/205987 |
Resumo: | The current challenge of corn (Zea mays L.) crops is to reach high yield to supply the world's demand for food, especially under different fertilization regimes and using the latest technology. We hypothesized that wavelengths and vegetation indices have a linear relationship with agronomic variables in corn. Our objectives were to verify the formation of super-traits and to study the association between wavelengths and vegetation indices with agronomic traits in corn cultivated under high and low topdressing N. The experiments were carried out in two crop seasons using a randomized block design with three replicates in a factorial scheme (11 genotypes × 2 contrasting levels of N: low, 60 kg ha–1 and high, 180 kg ha–1). At full bloom, the spectral variables green (550 nm), red (660 nm), red-edge (735 nm), and near-infrared (790 nm) and the vegetation indices normalized difference vegetation index (NDVI), normalized difference red-edge index (NDRE), green normalized difference vegetation index (GNDVI), and soil-adjusted vegetation index (SAVI) were evaluated. Agronomic traits evaluated were leaf N, plant height, first pod height, stem diameter, cob length, rows per cob, grains per row, and grain yield. Results showed that SAVI, GNDVI, NDVI, and NDRE and red-edge and red were associated with agronomic traits in corn. The association between the agronomic traits evaluated here can be used to estimate the leaf N content and corn yield. |
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Genotype × trait biplot and canonical correlations for spectral and agronomic traits in cornThe current challenge of corn (Zea mays L.) crops is to reach high yield to supply the world's demand for food, especially under different fertilization regimes and using the latest technology. We hypothesized that wavelengths and vegetation indices have a linear relationship with agronomic variables in corn. Our objectives were to verify the formation of super-traits and to study the association between wavelengths and vegetation indices with agronomic traits in corn cultivated under high and low topdressing N. The experiments were carried out in two crop seasons using a randomized block design with three replicates in a factorial scheme (11 genotypes × 2 contrasting levels of N: low, 60 kg ha–1 and high, 180 kg ha–1). At full bloom, the spectral variables green (550 nm), red (660 nm), red-edge (735 nm), and near-infrared (790 nm) and the vegetation indices normalized difference vegetation index (NDVI), normalized difference red-edge index (NDRE), green normalized difference vegetation index (GNDVI), and soil-adjusted vegetation index (SAVI) were evaluated. Agronomic traits evaluated were leaf N, plant height, first pod height, stem diameter, cob length, rows per cob, grains per row, and grain yield. Results showed that SAVI, GNDVI, NDVI, and NDRE and red-edge and red were associated with agronomic traits in corn. The association between the agronomic traits evaluated here can be used to estimate the leaf N content and corn yield.Univ. Estadual de Mato Grosso do Sul (UEMS)Univ. Federal de Mato Grosso do Sul (UFMS)Univ. Estadual Paulista (UNESP)Univ. de Brasília (UnB)A&E Análises Estatísticas e ConsultoriaUniv. do Estado do Mato Grosso (UNEMAT), Sinop, Montana,78555-000Univ. Estadual Paulista (UNESP)Universidade Estadual de Mato Grosso do Sul (UEMS)Universidade Federal de Mato Grosso do Sul (UFMS)Universidade Estadual Paulista (Unesp)Universidade de Brasília (UnB)A&E Análises Estatísticas e ConsultoriaUniv. do Estado do Mato Grosso (UNEMAT)Santana, Dthenifer CordeiroFlores, Marcela da SilvaCotrim, Mayara Favero [UNESP]Rodrigues, Erina VitórioSantos, Adriano dosTeodoro, Larissa Pereira RibeiroBaio, Fabio Henrique RojoSilva Junior, Carlos Antonio daTeodoro, Paulo Eduardo [UNESP]2021-06-25T10:24:45Z2021-06-25T10:24:45Z2021-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1197-1204http://dx.doi.org/10.1002/agj2.20581Agronomy Journal, v. 113, n. 2, p. 1197-1204, 2021.1435-06450002-1962http://hdl.handle.net/11449/20598710.1002/agj2.205812-s2.0-85101884253Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAgronomy Journalinfo:eu-repo/semantics/openAccess2021-10-22T20:28:31Zoai:repositorio.unesp.br:11449/205987Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:39:39.419816Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Genotype × trait biplot and canonical correlations for spectral and agronomic traits in corn |
title |
Genotype × trait biplot and canonical correlations for spectral and agronomic traits in corn |
spellingShingle |
Genotype × trait biplot and canonical correlations for spectral and agronomic traits in corn Santana, Dthenifer Cordeiro |
title_short |
Genotype × trait biplot and canonical correlations for spectral and agronomic traits in corn |
title_full |
Genotype × trait biplot and canonical correlations for spectral and agronomic traits in corn |
title_fullStr |
Genotype × trait biplot and canonical correlations for spectral and agronomic traits in corn |
title_full_unstemmed |
Genotype × trait biplot and canonical correlations for spectral and agronomic traits in corn |
title_sort |
Genotype × trait biplot and canonical correlations for spectral and agronomic traits in corn |
author |
Santana, Dthenifer Cordeiro |
author_facet |
Santana, Dthenifer Cordeiro Flores, Marcela da Silva Cotrim, Mayara Favero [UNESP] Rodrigues, Erina Vitório Santos, Adriano dos Teodoro, Larissa Pereira Ribeiro Baio, Fabio Henrique Rojo Silva Junior, Carlos Antonio da Teodoro, Paulo Eduardo [UNESP] |
author_role |
author |
author2 |
Flores, Marcela da Silva Cotrim, Mayara Favero [UNESP] Rodrigues, Erina Vitório Santos, Adriano dos Teodoro, Larissa Pereira Ribeiro Baio, Fabio Henrique Rojo Silva Junior, Carlos Antonio da Teodoro, Paulo Eduardo [UNESP] |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Mato Grosso do Sul (UEMS) Universidade Federal de Mato Grosso do Sul (UFMS) Universidade Estadual Paulista (Unesp) Universidade de Brasília (UnB) A&E Análises Estatísticas e Consultoria Univ. do Estado do Mato Grosso (UNEMAT) |
dc.contributor.author.fl_str_mv |
Santana, Dthenifer Cordeiro Flores, Marcela da Silva Cotrim, Mayara Favero [UNESP] Rodrigues, Erina Vitório Santos, Adriano dos Teodoro, Larissa Pereira Ribeiro Baio, Fabio Henrique Rojo Silva Junior, Carlos Antonio da Teodoro, Paulo Eduardo [UNESP] |
description |
The current challenge of corn (Zea mays L.) crops is to reach high yield to supply the world's demand for food, especially under different fertilization regimes and using the latest technology. We hypothesized that wavelengths and vegetation indices have a linear relationship with agronomic variables in corn. Our objectives were to verify the formation of super-traits and to study the association between wavelengths and vegetation indices with agronomic traits in corn cultivated under high and low topdressing N. The experiments were carried out in two crop seasons using a randomized block design with three replicates in a factorial scheme (11 genotypes × 2 contrasting levels of N: low, 60 kg ha–1 and high, 180 kg ha–1). At full bloom, the spectral variables green (550 nm), red (660 nm), red-edge (735 nm), and near-infrared (790 nm) and the vegetation indices normalized difference vegetation index (NDVI), normalized difference red-edge index (NDRE), green normalized difference vegetation index (GNDVI), and soil-adjusted vegetation index (SAVI) were evaluated. Agronomic traits evaluated were leaf N, plant height, first pod height, stem diameter, cob length, rows per cob, grains per row, and grain yield. Results showed that SAVI, GNDVI, NDVI, and NDRE and red-edge and red were associated with agronomic traits in corn. The association between the agronomic traits evaluated here can be used to estimate the leaf N content and corn yield. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:24:45Z 2021-06-25T10:24:45Z 2021-03-01 |
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/10.1002/agj2.20581 Agronomy Journal, v. 113, n. 2, p. 1197-1204, 2021. 1435-0645 0002-1962 http://hdl.handle.net/11449/205987 10.1002/agj2.20581 2-s2.0-85101884253 |
url |
http://dx.doi.org/10.1002/agj2.20581 http://hdl.handle.net/11449/205987 |
identifier_str_mv |
Agronomy Journal, v. 113, n. 2, p. 1197-1204, 2021. 1435-0645 0002-1962 10.1002/agj2.20581 2-s2.0-85101884253 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Agronomy Journal |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1197-1204 |
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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1808128396092243968 |