Scheduling optimum planting window for gladiola based on El Niño Southern Oscillation

Detalhes bibliográficos
Autor(a) principal: Becker, Camila Coelho
Data de Publicação: 2020
Outros Autores: Streck, Nereu Augusto, Uhlmann, Lilian Osmari, Silveira, Waleska Bolson
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/182964
Resumo: Gladiola is an important cut flower worldwide and scheduling field gladiola production is largely dependent on planting at the correct time since its development is controlled by the air temperature. The aim of this study was to configure a planting window of gladiola in order to harvest spikes to be sold on All Souls’ Day and Mother’s Day holidays in the state of Rio Grande do Sul, Brazil, taking into account the El Niño Southern Oscillation (ENSO) phases. The PhenoGlad model, a dynamic process-based simulation model that simulates gladiola phenology on a daily time step was used in this study. Daily minimum and maximum temperatures over 55 years (1961-2015) from 18 weather stations across Rio Grande do Sul state, Brazil, were used as input data in the PhenoGlad model. The optimum planting window was simulated for each maturity group, location and ENSO phase. For harvesting on All Souls’ Day, the optimum planting window had greater variation among the different ENSO phases. For Mother’s Day, only Very Strong El Niño events affected the development of gladiola, indicating the weak signal of the phenomenon at this time of the year. A case study in a commercial farm demonstrated the importance of these results for farmers. The planting window for production on Mother’s Day in a Neutral year was successfully configured. Determining the optimum planting window by considering the ENSO effect led to a more precise scheduling of gladiola production in southern Brazil.
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spelling Scheduling optimum planting window for gladiola based on El Niño Southern OscillationPhenoGladpeaks of consumptionscheduling floweringtemperaturetarget dateGladiola is an important cut flower worldwide and scheduling field gladiola production is largely dependent on planting at the correct time since its development is controlled by the air temperature. The aim of this study was to configure a planting window of gladiola in order to harvest spikes to be sold on All Souls’ Day and Mother’s Day holidays in the state of Rio Grande do Sul, Brazil, taking into account the El Niño Southern Oscillation (ENSO) phases. The PhenoGlad model, a dynamic process-based simulation model that simulates gladiola phenology on a daily time step was used in this study. Daily minimum and maximum temperatures over 55 years (1961-2015) from 18 weather stations across Rio Grande do Sul state, Brazil, were used as input data in the PhenoGlad model. The optimum planting window was simulated for each maturity group, location and ENSO phase. For harvesting on All Souls’ Day, the optimum planting window had greater variation among the different ENSO phases. For Mother’s Day, only Very Strong El Niño events affected the development of gladiola, indicating the weak signal of the phenomenon at this time of the year. A case study in a commercial farm demonstrated the importance of these results for farmers. The planting window for production on Mother’s Day in a Neutral year was successfully configured. Determining the optimum planting window by considering the ENSO effect led to a more precise scheduling of gladiola production in southern Brazil.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2020-12-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/18296410.1590/1678-992X-2018-0336Scientia Agricola; v. 77 n. 5 (2020); e20180336Scientia Agricola; Vol. 77 Núm. 5 (2020); e20180336Scientia Agricola; Vol. 77 No. 5 (2020); e201803361678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/182964/169755Copyright (c) 2020 Scientia Agricolahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessBecker, Camila Coelho Streck, Nereu Augusto Uhlmann, Lilian Osmari Silveira, Waleska Bolson 2021-03-09T20:14:42Zoai:revistas.usp.br:article/182964Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2021-03-09T20:14:42Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Scheduling optimum planting window for gladiola based on El Niño Southern Oscillation
title Scheduling optimum planting window for gladiola based on El Niño Southern Oscillation
spellingShingle Scheduling optimum planting window for gladiola based on El Niño Southern Oscillation
Becker, Camila Coelho
PhenoGlad
peaks of consumption
scheduling flowering
temperature
target date
title_short Scheduling optimum planting window for gladiola based on El Niño Southern Oscillation
title_full Scheduling optimum planting window for gladiola based on El Niño Southern Oscillation
title_fullStr Scheduling optimum planting window for gladiola based on El Niño Southern Oscillation
title_full_unstemmed Scheduling optimum planting window for gladiola based on El Niño Southern Oscillation
title_sort Scheduling optimum planting window for gladiola based on El Niño Southern Oscillation
author Becker, Camila Coelho
author_facet Becker, Camila Coelho
Streck, Nereu Augusto
Uhlmann, Lilian Osmari
Silveira, Waleska Bolson
author_role author
author2 Streck, Nereu Augusto
Uhlmann, Lilian Osmari
Silveira, Waleska Bolson
author2_role author
author
author
dc.contributor.author.fl_str_mv Becker, Camila Coelho
Streck, Nereu Augusto
Uhlmann, Lilian Osmari
Silveira, Waleska Bolson
dc.subject.por.fl_str_mv PhenoGlad
peaks of consumption
scheduling flowering
temperature
target date
topic PhenoGlad
peaks of consumption
scheduling flowering
temperature
target date
description Gladiola is an important cut flower worldwide and scheduling field gladiola production is largely dependent on planting at the correct time since its development is controlled by the air temperature. The aim of this study was to configure a planting window of gladiola in order to harvest spikes to be sold on All Souls’ Day and Mother’s Day holidays in the state of Rio Grande do Sul, Brazil, taking into account the El Niño Southern Oscillation (ENSO) phases. The PhenoGlad model, a dynamic process-based simulation model that simulates gladiola phenology on a daily time step was used in this study. Daily minimum and maximum temperatures over 55 years (1961-2015) from 18 weather stations across Rio Grande do Sul state, Brazil, were used as input data in the PhenoGlad model. The optimum planting window was simulated for each maturity group, location and ENSO phase. For harvesting on All Souls’ Day, the optimum planting window had greater variation among the different ENSO phases. For Mother’s Day, only Very Strong El Niño events affected the development of gladiola, indicating the weak signal of the phenomenon at this time of the year. A case study in a commercial farm demonstrated the importance of these results for farmers. The planting window for production on Mother’s Day in a Neutral year was successfully configured. Determining the optimum planting window by considering the ENSO effect led to a more precise scheduling of gladiola production in southern Brazil.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-09
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://www.revistas.usp.br/sa/article/view/182964
10.1590/1678-992X-2018-0336
url https://www.revistas.usp.br/sa/article/view/182964
identifier_str_mv 10.1590/1678-992X-2018-0336
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/182964/169755
dc.rights.driver.fl_str_mv Copyright (c) 2020 Scientia Agricola
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Scientia Agricola
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 Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 77 n. 5 (2020); e20180336
Scientia Agricola; Vol. 77 Núm. 5 (2020); e20180336
Scientia Agricola; Vol. 77 No. 5 (2020); e20180336
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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