Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil

Detalhes bibliográficos
Autor(a) principal: Ávila,Viviane Schons de
Data de Publicação: 2017
Outros Autores: Petry,Mirta Teresinha, Carlesso,Reimar, Martins,Juliano Dalcin, González,María Gabriela, Oliveira,Zanandra Boff de, Nunes,José Nilton Vieira, Menegaz,Sônia Thais
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017001200253
Resumo: ABSTRACT: The objective of this study was to simulate the variation of the available soil water during maize crop growth, in two different sowing times (first and second growing season), using a drip irrigation system. The treatments consisted of different irrigation strategies (full to deficit). The SIMDualKc simulation model was used to determine the daily soil water balance and crop evapotranspiration using the dual crop coefficient approach. Soil, climate, crop and irrigation parameters were used as input data. Two experiments were carried out in a rainout shelter composed of two metallic structures (16x10m) in the city of Santa Maria, Rio Grande do Sul, Brazil, during 2010/11 (second crop, season 1) and 2011/12 (first crop, season 2) growing seasons, under no-tillage system. The simulations showed that all the irrigation management strategies used in season 2 resulted in soil water deficit, while only two strategies showed deficit in season 1. Results showed good agreement between observed and simulated soil water data, with an R2 ranging from 0.86 to 0.99 and the root mean square error ranging from 2.7 to 5.6% of the total available water for seasons 1 and 2, respectively. The observed results of water balance showed that maize grown in season 2 presented higher water consumption compared to season 1, due to the higher atmospheric demand of season 2. The SIMDualKc model allowed the partitioning of crop evapotranspiration into soil evaporation and crop transpiration, demonstrating that the vegetative growth subperiod presented the greatest differences between the two seasons compared to the others growth phases.
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spelling Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern BrazilSIMDualKcdual coefficientevapotranspiration partitioningsoil evaporationcrop transpirationABSTRACT: The objective of this study was to simulate the variation of the available soil water during maize crop growth, in two different sowing times (first and second growing season), using a drip irrigation system. The treatments consisted of different irrigation strategies (full to deficit). The SIMDualKc simulation model was used to determine the daily soil water balance and crop evapotranspiration using the dual crop coefficient approach. Soil, climate, crop and irrigation parameters were used as input data. Two experiments were carried out in a rainout shelter composed of two metallic structures (16x10m) in the city of Santa Maria, Rio Grande do Sul, Brazil, during 2010/11 (second crop, season 1) and 2011/12 (first crop, season 2) growing seasons, under no-tillage system. The simulations showed that all the irrigation management strategies used in season 2 resulted in soil water deficit, while only two strategies showed deficit in season 1. Results showed good agreement between observed and simulated soil water data, with an R2 ranging from 0.86 to 0.99 and the root mean square error ranging from 2.7 to 5.6% of the total available water for seasons 1 and 2, respectively. The observed results of water balance showed that maize grown in season 2 presented higher water consumption compared to season 1, due to the higher atmospheric demand of season 2. The SIMDualKc model allowed the partitioning of crop evapotranspiration into soil evaporation and crop transpiration, demonstrating that the vegetative growth subperiod presented the greatest differences between the two seasons compared to the others growth phases.Universidade Federal de Santa Maria2017-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017001200253Ciência Rural v.47 n.12 2017reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20160998info:eu-repo/semantics/openAccessÁvila,Viviane Schons dePetry,Mirta TeresinhaCarlesso,ReimarMartins,Juliano DalcinGonzález,María GabrielaOliveira,Zanandra Boff deNunes,José Nilton VieiraMenegaz,Sônia Thaiseng2017-12-06T00:00:00ZRevista
dc.title.none.fl_str_mv Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil
title Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil
spellingShingle Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil
Ávila,Viviane Schons de
SIMDualKc
dual coefficient
evapotranspiration partitioning
soil evaporation
crop transpiration
title_short Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil
title_full Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil
title_fullStr Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil
title_full_unstemmed Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil
title_sort Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil
author Ávila,Viviane Schons de
author_facet Ávila,Viviane Schons de
Petry,Mirta Teresinha
Carlesso,Reimar
Martins,Juliano Dalcin
González,María Gabriela
Oliveira,Zanandra Boff de
Nunes,José Nilton Vieira
Menegaz,Sônia Thais
author_role author
author2 Petry,Mirta Teresinha
Carlesso,Reimar
Martins,Juliano Dalcin
González,María Gabriela
Oliveira,Zanandra Boff de
Nunes,José Nilton Vieira
Menegaz,Sônia Thais
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ávila,Viviane Schons de
Petry,Mirta Teresinha
Carlesso,Reimar
Martins,Juliano Dalcin
González,María Gabriela
Oliveira,Zanandra Boff de
Nunes,José Nilton Vieira
Menegaz,Sônia Thais
dc.subject.por.fl_str_mv SIMDualKc
dual coefficient
evapotranspiration partitioning
soil evaporation
crop transpiration
topic SIMDualKc
dual coefficient
evapotranspiration partitioning
soil evaporation
crop transpiration
description ABSTRACT: The objective of this study was to simulate the variation of the available soil water during maize crop growth, in two different sowing times (first and second growing season), using a drip irrigation system. The treatments consisted of different irrigation strategies (full to deficit). The SIMDualKc simulation model was used to determine the daily soil water balance and crop evapotranspiration using the dual crop coefficient approach. Soil, climate, crop and irrigation parameters were used as input data. Two experiments were carried out in a rainout shelter composed of two metallic structures (16x10m) in the city of Santa Maria, Rio Grande do Sul, Brazil, during 2010/11 (second crop, season 1) and 2011/12 (first crop, season 2) growing seasons, under no-tillage system. The simulations showed that all the irrigation management strategies used in season 2 resulted in soil water deficit, while only two strategies showed deficit in season 1. Results showed good agreement between observed and simulated soil water data, with an R2 ranging from 0.86 to 0.99 and the root mean square error ranging from 2.7 to 5.6% of the total available water for seasons 1 and 2, respectively. The observed results of water balance showed that maize grown in season 2 presented higher water consumption compared to season 1, due to the higher atmospheric demand of season 2. The SIMDualKc model allowed the partitioning of crop evapotranspiration into soil evaporation and crop transpiration, demonstrating that the vegetative growth subperiod presented the greatest differences between the two seasons compared to the others growth phases.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-01
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=S0103-84782017001200253
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017001200253
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20160998
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.47 n.12 2017
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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