| |
|
|
| Registros recuperados : 1 | |
| Registros recuperados : 1 | |
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Meio-Norte; Embrapa Solos. |
|
Data corrente: |
27/04/2021 |
|
Data da última atualização: |
27/04/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
SILVA, E. H. F. M. da; BOOTE, K. J.; HOOGENBOOM, G.; GONÇALVES, A. O.; ANDRADE JUNIOR, A. S. de; MARIN, F. R. |
|
Afiliação: |
EVANDRO HENRIQUE FIGUEIREDO MOURA DA SILVA, ESALQ/USP; KENNETH J. BOOTE, UNIVERSITY OF FLORIDA; GERRIT HOOGENBOOM, UNIVERSITY OF FLORIDA; ALEXANDRE ORTEGA GONCALVES, CNPS; ADERSON SOARES DE ANDRADE JUNIOR, CPAMN; FABIO RICARDO MARIN, ESALQ/USP. |
|
Título: |
Performance of the CSM-CROPGRO-soybean in simulating soybean growth and development and the soil water balance for a tropical environment. |
|
Ano de publicação: |
2021 |
|
Fonte/Imprenta: |
Agricultural Water Management, v. 252, 106929, Jun. 2021. |
|
DOI: |
https://doi.org/10.1016/j.agwat.2021.106929 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Continuous monitoring of soil water content is a crucial element for sustainable agricultural water management. The goal of this study was to use the Cropping System Model (CSM)-CROPGRO-Soybean model in conjunction with field data to determine the impact of different irrigation regimes, soil texture, and tillage practices on soybean [Glycine max (L.) Merr.] growth, development, and yield for tropical conditions. Field experiments were conducted at two sites: (i) Piracicaba with conventional tillage (PI-1, season 2016-2017), and no-tillage practices (PI-2, season 2017-2018), where the experiments were irrigated with full water requirements; and (ii) Teresina under conventional tillage (season 2019) with two irrigation treatments of full (TE-1) and 50% (TE-2) water requirements. Soil water content was measured for all experiments using an electromagnetic probe installed at several depths. The results showed that the model was able to simulate soybean growth and development for the different sites, with a very good agreement (D-statistic > 0.8) between the simulated and observed data. In addition, the soil water content was simulated with satisfactory accuracy (D-statistic > 0.5). Following model evaluation, long-term hypothetical scenarios for different soil tillage practices and water management regimes were simulated for Piracicaba and Teresina sites. The results showed that the use of no-tillage could reduce the average amount of irrigation in Piracicaba by 30% and in Teresina by 17%, achieving the same yield level as conventional tillage. Thus, the CSM-CROPGRO-Soybean can be used as a tool for determining optimum water management practices for tropical environments. MenosContinuous monitoring of soil water content is a crucial element for sustainable agricultural water management. The goal of this study was to use the Cropping System Model (CSM)-CROPGRO-Soybean model in conjunction with field data to determine the impact of different irrigation regimes, soil texture, and tillage practices on soybean [Glycine max (L.) Merr.] growth, development, and yield for tropical conditions. Field experiments were conducted at two sites: (i) Piracicaba with conventional tillage (PI-1, season 2016-2017), and no-tillage practices (PI-2, season 2017-2018), where the experiments were irrigated with full water requirements; and (ii) Teresina under conventional tillage (season 2019) with two irrigation treatments of full (TE-1) and 50% (TE-2) water requirements. Soil water content was measured for all experiments using an electromagnetic probe installed at several depths. The results showed that the model was able to simulate soybean growth and development for the different sites, with a very good agreement (D-statistic > 0.8) between the simulated and observed data. In addition, the soil water content was simulated with satisfactory accuracy (D-statistic > 0.5). Following model evaluation, long-term hypothetical scenarios for different soil tillage practices and water management regimes were simulated for Piracicaba and Teresina sites. The results showed that the use of no-tillage could reduce the average amount of irrigation in Piracicaba by 30% and in Teres... Mostrar Tudo |
|
Palavras-Chave: |
Agricultura irrigada; Drought stress; DSSAT; Estresse de seca; Estresse Hídrico; Irrigated agriculture; Modelagem; Modeling; Práticas de manejo do solo; Soil moisture. |
|
Thesagro: |
Manejo do Solo; Umidade do Solo. |
|
Thesaurus NAL: |
Soil management. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 02794naa a2200349 a 4500
001 2131519
005 2021-04-27
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.agwat.2021.106929$2DOI
100 1 $aSILVA, E. H. F. M. da
245 $aPerformance of the CSM-CROPGRO-soybean in simulating soybean growth and development and the soil water balance for a tropical environment.$h[electronic resource]
260 $c2021
520 $aContinuous monitoring of soil water content is a crucial element for sustainable agricultural water management. The goal of this study was to use the Cropping System Model (CSM)-CROPGRO-Soybean model in conjunction with field data to determine the impact of different irrigation regimes, soil texture, and tillage practices on soybean [Glycine max (L.) Merr.] growth, development, and yield for tropical conditions. Field experiments were conducted at two sites: (i) Piracicaba with conventional tillage (PI-1, season 2016-2017), and no-tillage practices (PI-2, season 2017-2018), where the experiments were irrigated with full water requirements; and (ii) Teresina under conventional tillage (season 2019) with two irrigation treatments of full (TE-1) and 50% (TE-2) water requirements. Soil water content was measured for all experiments using an electromagnetic probe installed at several depths. The results showed that the model was able to simulate soybean growth and development for the different sites, with a very good agreement (D-statistic > 0.8) between the simulated and observed data. In addition, the soil water content was simulated with satisfactory accuracy (D-statistic > 0.5). Following model evaluation, long-term hypothetical scenarios for different soil tillage practices and water management regimes were simulated for Piracicaba and Teresina sites. The results showed that the use of no-tillage could reduce the average amount of irrigation in Piracicaba by 30% and in Teresina by 17%, achieving the same yield level as conventional tillage. Thus, the CSM-CROPGRO-Soybean can be used as a tool for determining optimum water management practices for tropical environments.
650 $aSoil management
650 $aManejo do Solo
650 $aUmidade do Solo
653 $aAgricultura irrigada
653 $aDrought stress
653 $aDSSAT
653 $aEstresse de seca
653 $aEstresse Hídrico
653 $aIrrigated agriculture
653 $aModelagem
653 $aModeling
653 $aPráticas de manejo do solo
653 $aSoil moisture
700 1 $aBOOTE, K. J.
700 1 $aHOOGENBOOM, G.
700 1 $aGONÇALVES, A. O.
700 1 $aANDRADE JUNIOR, A. S. de
700 1 $aMARIN, F. R.
773 $tAgricultural Water Management$gv. 252, 106929, Jun. 2021.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Solos (CNPS) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
