Evaluation of models to estimate the actual evapotranspiration of soybean crop subjected to different water deficit conditions

Detalhes bibliográficos
Autor(a) principal: ALVES,ÉLVIS DA S.
Data de Publicação: 2021
Outros Autores: RODRIGUES,LINEU N., CUNHA,FERNANDO F., FARIAS,DIEGO B.S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000701403
Resumo: Abstract Optimization of water use for irrigation will only be possible with the adjustment of management, which is directly related to the correct estimate of the actual evapotranspiration of the crop. The present study aimed to evaluate different mathematical approaches used in estimating the actual evapotranspiration of a new soybean cultivar (BRS 7581RR) subjected to different water deficit conditions. For this, the ETa estimated by the FAO56 Dual, Jensen and Hermann, AquaCrop and Ritchie models was evaluated. The experimental design was randomized with five treatments and four replicates. Irrigation management in the treatments was conducted so as to maintain different levels of water available in the soil (AW). The T1 treatment was performed applying 80 to 100% AW; in T2 treatment, the allowed variation was 60 to 80% AW; in T3 treatment, it was 40 to 60% AW; in T4, from 20 to 40% AW; and in T5, from 0 to 20% AW. The results showed that the FAO56 Dual model showed better performance in soybean ETa estimation for winter conditions in most treatments, with NSE ranging from 0.42 to 0.83. In the summer, the Jensen and Hermann model showed the best results, with NSE ranging from 0.70 to 0.94.
id ABC-1_af6f007c241754145235502709a2266b
oai_identifier_str oai:scielo:S0001-37652021000701403
network_acronym_str ABC-1
network_name_str Anais da Academia Brasileira de Ciências (Online)
repository_id_str
spelling Evaluation of models to estimate the actual evapotranspiration of soybean crop subjected to different water deficit conditionsCerradomodelingirrigation managementwater resourcesAbstract Optimization of water use for irrigation will only be possible with the adjustment of management, which is directly related to the correct estimate of the actual evapotranspiration of the crop. The present study aimed to evaluate different mathematical approaches used in estimating the actual evapotranspiration of a new soybean cultivar (BRS 7581RR) subjected to different water deficit conditions. For this, the ETa estimated by the FAO56 Dual, Jensen and Hermann, AquaCrop and Ritchie models was evaluated. The experimental design was randomized with five treatments and four replicates. Irrigation management in the treatments was conducted so as to maintain different levels of water available in the soil (AW). The T1 treatment was performed applying 80 to 100% AW; in T2 treatment, the allowed variation was 60 to 80% AW; in T3 treatment, it was 40 to 60% AW; in T4, from 20 to 40% AW; and in T5, from 0 to 20% AW. The results showed that the FAO56 Dual model showed better performance in soybean ETa estimation for winter conditions in most treatments, with NSE ranging from 0.42 to 0.83. In the summer, the Jensen and Hermann model showed the best results, with NSE ranging from 0.70 to 0.94.Academia Brasileira de Ciências2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000701403Anais da Academia Brasileira de Ciências v.93 n.4 2021reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202120201801info:eu-repo/semantics/openAccessALVES,ÉLVIS DA S.RODRIGUES,LINEU N.CUNHA,FERNANDO F.FARIAS,DIEGO B.S.eng2021-10-05T00:00:00Zoai:scielo:S0001-37652021000701403Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2021-10-05T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Evaluation of models to estimate the actual evapotranspiration of soybean crop subjected to different water deficit conditions
title Evaluation of models to estimate the actual evapotranspiration of soybean crop subjected to different water deficit conditions
spellingShingle Evaluation of models to estimate the actual evapotranspiration of soybean crop subjected to different water deficit conditions
ALVES,ÉLVIS DA S.
Cerrado
modeling
irrigation management
water resources
title_short Evaluation of models to estimate the actual evapotranspiration of soybean crop subjected to different water deficit conditions
title_full Evaluation of models to estimate the actual evapotranspiration of soybean crop subjected to different water deficit conditions
title_fullStr Evaluation of models to estimate the actual evapotranspiration of soybean crop subjected to different water deficit conditions
title_full_unstemmed Evaluation of models to estimate the actual evapotranspiration of soybean crop subjected to different water deficit conditions
title_sort Evaluation of models to estimate the actual evapotranspiration of soybean crop subjected to different water deficit conditions
author ALVES,ÉLVIS DA S.
author_facet ALVES,ÉLVIS DA S.
RODRIGUES,LINEU N.
CUNHA,FERNANDO F.
FARIAS,DIEGO B.S.
author_role author
author2 RODRIGUES,LINEU N.
CUNHA,FERNANDO F.
FARIAS,DIEGO B.S.
author2_role author
author
author
dc.contributor.author.fl_str_mv ALVES,ÉLVIS DA S.
RODRIGUES,LINEU N.
CUNHA,FERNANDO F.
FARIAS,DIEGO B.S.
dc.subject.por.fl_str_mv Cerrado
modeling
irrigation management
water resources
topic Cerrado
modeling
irrigation management
water resources
description Abstract Optimization of water use for irrigation will only be possible with the adjustment of management, which is directly related to the correct estimate of the actual evapotranspiration of the crop. The present study aimed to evaluate different mathematical approaches used in estimating the actual evapotranspiration of a new soybean cultivar (BRS 7581RR) subjected to different water deficit conditions. For this, the ETa estimated by the FAO56 Dual, Jensen and Hermann, AquaCrop and Ritchie models was evaluated. The experimental design was randomized with five treatments and four replicates. Irrigation management in the treatments was conducted so as to maintain different levels of water available in the soil (AW). The T1 treatment was performed applying 80 to 100% AW; in T2 treatment, the allowed variation was 60 to 80% AW; in T3 treatment, it was 40 to 60% AW; in T4, from 20 to 40% AW; and in T5, from 0 to 20% AW. The results showed that the FAO56 Dual model showed better performance in soybean ETa estimation for winter conditions in most treatments, with NSE ranging from 0.42 to 0.83. In the summer, the Jensen and Hermann model showed the best results, with NSE ranging from 0.70 to 0.94.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000701403
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000701403
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202120201801
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.93 n.4 2021
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
instacron_str ABC
institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
_version_ 1754302870928228352