Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/16403 |
Resumo: | For better control and efficiency of agricultural crops in Brazilian semiarid regions, the use of evaluations with data from remote sensing in conjunction with geographic information systems (GIS) are being widely used. This work aimed to evaluate the response of corn genotypes in a succession cultivation system to vegetation cover plants. The survey was conducted in Areia, Paraíba, Brazil, in the agricultural years of 2018/2019 and 2019/2020. The design was in completely randomized blocks, with four replications, in a 3 × 6 factorial scheme, corresponding to three corn genotypes (Robusto, Pontinha and AG1051) and six cultivation systems [(Brachiaria ruziziensis, millet (Pennisetum glaucum), pigeonpea (Cajanus cajan), Crotalária espectabilis, Crotalária juncea and as witness only the uncovered soil)], totaling 18 treatments. Vegetable indices of Visible Atmospherically Resistant Index, Redness Index, Normalized green-Red Difference Index, Ground Level Image Analysis, Excess Red-Green, Excess Red Vegetative Index, Excess Green Index and the Color Index of Vegetation Extraction were evaluated. The results showed that to observe differences between the corn genotypes, the use of the Excess Red Vegetative Index is indicated. To observe differences in the effect of cover crops on corn, the Normalized green-Red Difference is indicated. |
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Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)Índices fotogramétricos de plantas en maíz en sucesión a cultivos de cobertura del suelo en Areia, Paraíba (Brasil)Índices vegetais fotogramétricos no milho em sucessão a plantas de cobertura do solo em Areia, Paraíba (Brasil)Coverage plantsZea maysDroneRemote sensing.Plantas de coberturaZea maysDroneSensoriamento remoto.Plantas de coberturaZea maysDronesTeledetección.For better control and efficiency of agricultural crops in Brazilian semiarid regions, the use of evaluations with data from remote sensing in conjunction with geographic information systems (GIS) are being widely used. This work aimed to evaluate the response of corn genotypes in a succession cultivation system to vegetation cover plants. The survey was conducted in Areia, Paraíba, Brazil, in the agricultural years of 2018/2019 and 2019/2020. The design was in completely randomized blocks, with four replications, in a 3 × 6 factorial scheme, corresponding to three corn genotypes (Robusto, Pontinha and AG1051) and six cultivation systems [(Brachiaria ruziziensis, millet (Pennisetum glaucum), pigeonpea (Cajanus cajan), Crotalária espectabilis, Crotalária juncea and as witness only the uncovered soil)], totaling 18 treatments. Vegetable indices of Visible Atmospherically Resistant Index, Redness Index, Normalized green-Red Difference Index, Ground Level Image Analysis, Excess Red-Green, Excess Red Vegetative Index, Excess Green Index and the Color Index of Vegetation Extraction were evaluated. The results showed that to observe differences between the corn genotypes, the use of the Excess Red Vegetative Index is indicated. To observe differences in the effect of cover crops on corn, the Normalized green-Red Difference is indicated.Para un mejor control y eficiencia de los cultivos agrícolas en las regiones semiáridas brasileñas, se está utilizando ampliamente el uso de evaluaciones con datos de teledetección en conjunto con sistemas de información geográfica (SIG). Este trabajo tuvo como objetivo evaluar la respuesta de genotipos de maíz en un sistema de cultivo de sucesión a plantas de cobertura vegetal. La encuesta se realizó en Areia, Paraíba, Brasil, en los años agrícolas 2018/2019 y 2019/2020. El diseño fue en bloques completamente al azar, con cuatro repeticiones, en un esquema factorial 3 × 6, correspondientes a tres genotipos de maíz (Robusto, Pontinha y AG1051) y seis sistemas de cultivo [(Brachiaria ruziziensis, mijo (Pennisetum glaucum), guandú (Cajanus cajan), Crotalária espectabilis, Crotalária juncea y como testimonio solo el suelo descubierto)], totalizando 18 tratamientos. Se evaluaron los índices vegetales de Visible Atmospherically Resistant Index, Redness Index, Normalized green-Red Difference Index, Ground Level Image Analysis, Excess Red-Green, Excess Red Vegetative Index, Excess Green Index y Color Index of Vegetation Extraction. Los resultados mostraron que para observar diferencias entre los genotipos de maíz se indica el uso del Excess Red Vegetative Index. Para observar las diferencias en el efecto de los cultivos de cobertura sobre el maíz, se indica la Normalized green-Red Difference.Para melhor controle e eficiência dos cultivos agrícolas nas regiões semiáridas brasileiras, o uso de avaliações com dados provenientes de sensoriamento remoto em conjunto com sistemas de informações geográficas (SIG) estão sendo amplamente utilizados. Neste trabalho objetivou-se comparar os índices vegetativos em sistema de cultivo de milho e plantas de cobertura do solo nas condições semiáridas do Brejo da Paraíba. A pesquisa foi realizada em Areia, Paraíba, Brasil, nos anos agrícolas de 2018/2019 e 2019/2020. O delineamento foi em blocos casualizados, com quatro repetições, no esquema fatorial 3 × 6, correspondente a três genótipos de milho (cultivar Robusto, milho crioulo Pontinha e híbrido AG1051) e seis sistemas de cultivo de plantas de cobertura [(Brachiaria ruziziensis, milheto (Pennisetum glaucum), feijão guandu (Cajanus cajan), Crotalária espectabilis, Crotalária juncea e como testemunha apenas o solo descoberto)], totalizando 18 tratamentos. Foram avaliados os índices vegetais de Visible Atmospherically Resistant Index, Redness Index, Normalized green-Red Difference Index, Ground Level Image Analysis, Excess Red-Green, Excess Red Vegetative Index, Excess Green Index e o Color Index of Vegetation Extraction. De maneira geral, os resultados demonstraram que para observar diferenças entre os genótipos de milho é indicado o uso do índice Excess Red Vegetative Index. Para observar diferenças do efeito das plantas de cobertura no milho, indica-se o Normalized green-Red Difference.Research, Society and Development2021-06-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1640310.33448/rsd-v10i7.16403Research, Society and Development; Vol. 10 No. 7; e7510716403Research, Society and Development; Vol. 10 Núm. 7; e7510716403Research, Society and Development; v. 10 n. 7; e75107164032525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/16403/14545Copyright (c) 2021 Tayron Rayan Sobrinho Costa; Marianne Costa de Azevedo; José Eldo Costa; Valéria Fernandes de Oliveira Sousa; Antonio Veimar da Silva; Fábio Mielezrskihttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCosta, Tayron Rayan SobrinhoAzevedo, Marianne Costa deCosta, José EldoSousa, Valéria Fernandes de OliveiraSilva, Antonio Veimar daMielezrski, Fábio2021-07-18T21:07:03Zoai:ojs.pkp.sfu.ca:article/16403Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:36:57.606131Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil) Índices fotogramétricos de plantas en maíz en sucesión a cultivos de cobertura del suelo en Areia, Paraíba (Brasil) Índices vegetais fotogramétricos no milho em sucessão a plantas de cobertura do solo em Areia, Paraíba (Brasil) |
title |
Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil) |
spellingShingle |
Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil) Costa, Tayron Rayan Sobrinho Coverage plants Zea mays Drone Remote sensing. Plantas de cobertura Zea mays Drone Sensoriamento remoto. Plantas de cobertura Zea mays Drones Teledetección. |
title_short |
Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil) |
title_full |
Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil) |
title_fullStr |
Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil) |
title_full_unstemmed |
Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil) |
title_sort |
Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil) |
author |
Costa, Tayron Rayan Sobrinho |
author_facet |
Costa, Tayron Rayan Sobrinho Azevedo, Marianne Costa de Costa, José Eldo Sousa, Valéria Fernandes de Oliveira Silva, Antonio Veimar da Mielezrski, Fábio |
author_role |
author |
author2 |
Azevedo, Marianne Costa de Costa, José Eldo Sousa, Valéria Fernandes de Oliveira Silva, Antonio Veimar da Mielezrski, Fábio |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Costa, Tayron Rayan Sobrinho Azevedo, Marianne Costa de Costa, José Eldo Sousa, Valéria Fernandes de Oliveira Silva, Antonio Veimar da Mielezrski, Fábio |
dc.subject.por.fl_str_mv |
Coverage plants Zea mays Drone Remote sensing. Plantas de cobertura Zea mays Drone Sensoriamento remoto. Plantas de cobertura Zea mays Drones Teledetección. |
topic |
Coverage plants Zea mays Drone Remote sensing. Plantas de cobertura Zea mays Drone Sensoriamento remoto. Plantas de cobertura Zea mays Drones Teledetección. |
description |
For better control and efficiency of agricultural crops in Brazilian semiarid regions, the use of evaluations with data from remote sensing in conjunction with geographic information systems (GIS) are being widely used. This work aimed to evaluate the response of corn genotypes in a succession cultivation system to vegetation cover plants. The survey was conducted in Areia, Paraíba, Brazil, in the agricultural years of 2018/2019 and 2019/2020. The design was in completely randomized blocks, with four replications, in a 3 × 6 factorial scheme, corresponding to three corn genotypes (Robusto, Pontinha and AG1051) and six cultivation systems [(Brachiaria ruziziensis, millet (Pennisetum glaucum), pigeonpea (Cajanus cajan), Crotalária espectabilis, Crotalária juncea and as witness only the uncovered soil)], totaling 18 treatments. Vegetable indices of Visible Atmospherically Resistant Index, Redness Index, Normalized green-Red Difference Index, Ground Level Image Analysis, Excess Red-Green, Excess Red Vegetative Index, Excess Green Index and the Color Index of Vegetation Extraction were evaluated. The results showed that to observe differences between the corn genotypes, the use of the Excess Red Vegetative Index is indicated. To observe differences in the effect of cover crops on corn, the Normalized green-Red Difference is indicated. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-14 |
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://rsdjournal.org/index.php/rsd/article/view/16403 10.33448/rsd-v10i7.16403 |
url |
https://rsdjournal.org/index.php/rsd/article/view/16403 |
identifier_str_mv |
10.33448/rsd-v10i7.16403 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/16403/14545 |
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.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 7; e7510716403 Research, Society and Development; Vol. 10 Núm. 7; e7510716403 Research, Society and Development; v. 10 n. 7; e7510716403 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052679733641216 |