Nitrogen variable rate in pastures using optical sensors
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Semina. Ciências Agrárias (Online) |
Texto Completo: | https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/34326 |
Resumo: | The use of optical sensors to identify the nutritional needs of agricultural crops has been the subject of several studies using precision agriculture techniques. In this work, we sought to overcome the lack of research evaluating the use of these techniques in the management of nitrogen (N) fertilizer in pastures. We evaluated the methodology of the nitrogen sufficiency index (NSI) in N management at variable rates (VR) using a portable chlorophyll meter. In addition, the use of color vegetation indices generated from a digital camera was evaluated as a low-cost alternative. The work was conducted in four management cycles at different times of year, evaluating the productivity and quality of Brachiaria brizantha cv. Xaraés grass. Three NSIs (0.85, 0.90 and 0.95) were evaluated, applying complementary doses of N according to the response of monitored plots using a chlorophyll meter and comparing the productivity and leaf N content of these treatments to the reference treatment (TREF), which received a single dose of N (150 kg ha-1). Together with these treatments, plots without N application (control) were analyzed, totaling five treatments with six replications in a completely randomized design. The dry mass productivity and N leaf concentration of the VR treatments were statistically equal to TREF in all management cycles (P < 0.05). Most color vegetation indices correlated significantly (P < 0.05) to the chlorophyll readings. The use of NSI methodology in pastures allows the same productivity gains, with significant input savings. In addition, the use of digital cameras presents itself as a viable alternative to monitoring the N status in pastures. |
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Semina. Ciências Agrárias (Online) |
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Nitrogen variable rate in pastures using optical sensorsTaxa variável de nitrogênio em pastagens utilizando sensores ópticosPrecision agricultureNSIVegetation indexBrachiaria brizanthaXaraés grass.Agricultura de precisãoNSIÍndice de vegetaçãoBrachiaria brizanthaXaraés.The use of optical sensors to identify the nutritional needs of agricultural crops has been the subject of several studies using precision agriculture techniques. In this work, we sought to overcome the lack of research evaluating the use of these techniques in the management of nitrogen (N) fertilizer in pastures. We evaluated the methodology of the nitrogen sufficiency index (NSI) in N management at variable rates (VR) using a portable chlorophyll meter. In addition, the use of color vegetation indices generated from a digital camera was evaluated as a low-cost alternative. The work was conducted in four management cycles at different times of year, evaluating the productivity and quality of Brachiaria brizantha cv. Xaraés grass. Three NSIs (0.85, 0.90 and 0.95) were evaluated, applying complementary doses of N according to the response of monitored plots using a chlorophyll meter and comparing the productivity and leaf N content of these treatments to the reference treatment (TREF), which received a single dose of N (150 kg ha-1). Together with these treatments, plots without N application (control) were analyzed, totaling five treatments with six replications in a completely randomized design. The dry mass productivity and N leaf concentration of the VR treatments were statistically equal to TREF in all management cycles (P < 0.05). Most color vegetation indices correlated significantly (P < 0.05) to the chlorophyll readings. The use of NSI methodology in pastures allows the same productivity gains, with significant input savings. In addition, the use of digital cameras presents itself as a viable alternative to monitoring the N status in pastures.O uso de sensores óticos para identificação das necessidades nutricionais de culturas agrícolas tem sido objeto de diversas pesquisas empregando técnicas de agricultura de precisão. Nesse trabalho buscou-se suprir a carência de pesquisas avaliando o emprego dessas técnicas no manejo de adubo nitrogenado (N) em pastagens. Avaliamos a metodologia do índice de suficiência de nitrogênio (NSI) no manejo de N a taxa variada (VR) com o uso de um medidor de clorofila portátil. Além disso, avaliou-se o uso de uma câmera digital como uma alternativa de baixo custo. O trabalho foi conduzido por quatro ciclos de manejo em diferentes épocas do ano, avaliando a produtividade e qualidade do capim Brachiaria brizantha cv. Xaraés. Foram avaliados três NSIs (0,85; 0,90 e 0,95), aplicando doses complemantares de N de acordo com a resposta da planta monitorada com o medidor de clorofila, comparando a produtividade e teor de N foliar desses tratamentos com o tratamento de referência (TREF), que recebeu uma dose única de N (150 kg ha-1), conforme recomendações tradicionais. Junto com esses tratamentos foram analisadas parcelas sem aplicação de N (controle), compondo assim cinco tratamentos, com seis repetições, em delineamento inteiramente casualizado. A produtividade de massa seca e de N foliar dos tratamentos a VR foi estatisticamente igual a TREF em todos os períodos avaliados (P < 0,05). A maioria dos índices de vegetação aplicados às imagens obtidas com a câmera digital se correlacionaram significativamente (P < 0,05) com as leituras realizadas com o clorofilômetro portátil. O uso da metodologia do NSI em pastagens permite os mesmos ganhos de produtividade, com economias significativas de insumo. E o uso de câmera digital apresenta-se como uma alternativa viável ao monitoramento do status de N em pastagens.UEL2019-09-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/3432610.5433/1679-0359.2019v40n6Supl2p2917Semina: Ciências Agrárias; Vol. 40 No. 6Supl2 (2019); 2917-2932Semina: Ciências Agrárias; v. 40 n. 6Supl2 (2019); 2917-29321679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/34326/26154Copyright (c) 2019 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessCorrêdo, Lucas de PaulaPinto, Francisco de Assis de CarvalhoQueiroz, Domingos SavioValente, Domingos Sárvio MagalhãesVillar, Flora Maria de Melo2022-10-10T15:54:38Zoai:ojs.pkp.sfu.ca:article/34326Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-10-10T15:54:38Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false |
dc.title.none.fl_str_mv |
Nitrogen variable rate in pastures using optical sensors Taxa variável de nitrogênio em pastagens utilizando sensores ópticos |
title |
Nitrogen variable rate in pastures using optical sensors |
spellingShingle |
Nitrogen variable rate in pastures using optical sensors Corrêdo, Lucas de Paula Precision agriculture NSI Vegetation index Brachiaria brizantha Xaraés grass. Agricultura de precisão NSI Índice de vegetação Brachiaria brizantha Xaraés. |
title_short |
Nitrogen variable rate in pastures using optical sensors |
title_full |
Nitrogen variable rate in pastures using optical sensors |
title_fullStr |
Nitrogen variable rate in pastures using optical sensors |
title_full_unstemmed |
Nitrogen variable rate in pastures using optical sensors |
title_sort |
Nitrogen variable rate in pastures using optical sensors |
author |
Corrêdo, Lucas de Paula |
author_facet |
Corrêdo, Lucas de Paula Pinto, Francisco de Assis de Carvalho Queiroz, Domingos Savio Valente, Domingos Sárvio Magalhães Villar, Flora Maria de Melo |
author_role |
author |
author2 |
Pinto, Francisco de Assis de Carvalho Queiroz, Domingos Savio Valente, Domingos Sárvio Magalhães Villar, Flora Maria de Melo |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Corrêdo, Lucas de Paula Pinto, Francisco de Assis de Carvalho Queiroz, Domingos Savio Valente, Domingos Sárvio Magalhães Villar, Flora Maria de Melo |
dc.subject.por.fl_str_mv |
Precision agriculture NSI Vegetation index Brachiaria brizantha Xaraés grass. Agricultura de precisão NSI Índice de vegetação Brachiaria brizantha Xaraés. |
topic |
Precision agriculture NSI Vegetation index Brachiaria brizantha Xaraés grass. Agricultura de precisão NSI Índice de vegetação Brachiaria brizantha Xaraés. |
description |
The use of optical sensors to identify the nutritional needs of agricultural crops has been the subject of several studies using precision agriculture techniques. In this work, we sought to overcome the lack of research evaluating the use of these techniques in the management of nitrogen (N) fertilizer in pastures. We evaluated the methodology of the nitrogen sufficiency index (NSI) in N management at variable rates (VR) using a portable chlorophyll meter. In addition, the use of color vegetation indices generated from a digital camera was evaluated as a low-cost alternative. The work was conducted in four management cycles at different times of year, evaluating the productivity and quality of Brachiaria brizantha cv. Xaraés grass. Three NSIs (0.85, 0.90 and 0.95) were evaluated, applying complementary doses of N according to the response of monitored plots using a chlorophyll meter and comparing the productivity and leaf N content of these treatments to the reference treatment (TREF), which received a single dose of N (150 kg ha-1). Together with these treatments, plots without N application (control) were analyzed, totaling five treatments with six replications in a completely randomized design. The dry mass productivity and N leaf concentration of the VR treatments were statistically equal to TREF in all management cycles (P < 0.05). Most color vegetation indices correlated significantly (P < 0.05) to the chlorophyll readings. The use of NSI methodology in pastures allows the same productivity gains, with significant input savings. In addition, the use of digital cameras presents itself as a viable alternative to monitoring the N status in pastures. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-30 |
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://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/34326 10.5433/1679-0359.2019v40n6Supl2p2917 |
url |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/34326 |
identifier_str_mv |
10.5433/1679-0359.2019v40n6Supl2p2917 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/34326/26154 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UEL |
publisher.none.fl_str_mv |
UEL |
dc.source.none.fl_str_mv |
Semina: Ciências Agrárias; Vol. 40 No. 6Supl2 (2019); 2917-2932 Semina: Ciências Agrárias; v. 40 n. 6Supl2 (2019); 2917-2932 1679-0359 1676-546X reponame:Semina. Ciências Agrárias (Online) instname:Universidade Estadual de Londrina (UEL) instacron:UEL |
instname_str |
Universidade Estadual de Londrina (UEL) |
instacron_str |
UEL |
institution |
UEL |
reponame_str |
Semina. Ciências Agrárias (Online) |
collection |
Semina. Ciências Agrárias (Online) |
repository.name.fl_str_mv |
Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL) |
repository.mail.fl_str_mv |
semina.agrarias@uel.br |
_version_ |
1750315428840734720 |