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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
28/01/1999 |
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Data da última atualização: |
29/03/2019 |
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Autoria: |
ASARE, D. K.; SAMMIS, T. W.; ASSADIAN, H.; FOWLER, J. L. |
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Afiliação: |
New Mexico State University; New Mexico State University; El Paso Community College; New Mexico State University. |
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Título: |
Evaluating three cotton simulation models under different irrigation regimes. |
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Ano de publicação: |
1992 |
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Fonte/Imprenta: |
Agricultural Water Management, v. 22, p. 391-407, 1992. |
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Idioma: |
Inglês |
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Conteúdo: |
Crop growth/irrigation scheduling simulation models are becoming an integral part of crop management schemes designed to maximize input use. The selection of a particular model over others must be based on the model's performance under local conditions. Three crop simulation models, COTTAM, GOSSYM and IRRSCH, were evaluated for their accuracy in approximating field-observed crop water stress index (CWSI) of cotton grown under different irrigation regimes in a semiarid environment. The purpose is to use CWSI measured in the field to evaluate and to select an appropriate simulation model to schedule irrigation for cotton production. Generally, CWSI predicted by the models was lower than the measured values. Comparatively, IRRSCH was the best of all the models in predicting CWSI regardless of the irrigation treatments. Statistical analysis showed no significant difference (at 95% significance level) between the measured and the predicted CWSI by IRRSCH when cotton was irrigated at - 0.40 MPa in 1983. Analysis of variance of paired data showed that COTTAM and IRRSCH predicted similar CWSI (P=0.05) in cotton irrigated at - 1.50 MPa in 1983. This study showed IRRSCH, a simple water balance model, is superior to COTTAM and GOSSYM in approximating CWSI at water stress levels most encountered in irrigated fields (?0.15 and - 0.40 MPa) and best approximates field water balance. |
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Palavras-Chave: |
Cotton simulation models; Crop growth; Crop simulation model; Modelagem; Water balance model. |
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Thesagro: |
Balanço Hídrico; Irrigação; Simulação. |
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Thesaurus Nal: |
Irrigation. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02143naa a2200265 a 4500
001 1006982
005 2019-03-29
008 1992 bl uuuu u00u1 u #d
100 1 $aASARE, D. K.
245 $aEvaluating three cotton simulation models under different irrigation regimes.$h[electronic resource]
260 $c1992
520 $aCrop growth/irrigation scheduling simulation models are becoming an integral part of crop management schemes designed to maximize input use. The selection of a particular model over others must be based on the model's performance under local conditions. Three crop simulation models, COTTAM, GOSSYM and IRRSCH, were evaluated for their accuracy in approximating field-observed crop water stress index (CWSI) of cotton grown under different irrigation regimes in a semiarid environment. The purpose is to use CWSI measured in the field to evaluate and to select an appropriate simulation model to schedule irrigation for cotton production. Generally, CWSI predicted by the models was lower than the measured values. Comparatively, IRRSCH was the best of all the models in predicting CWSI regardless of the irrigation treatments. Statistical analysis showed no significant difference (at 95% significance level) between the measured and the predicted CWSI by IRRSCH when cotton was irrigated at - 0.40 MPa in 1983. Analysis of variance of paired data showed that COTTAM and IRRSCH predicted similar CWSI (P=0.05) in cotton irrigated at - 1.50 MPa in 1983. This study showed IRRSCH, a simple water balance model, is superior to COTTAM and GOSSYM in approximating CWSI at water stress levels most encountered in irrigated fields (?0.15 and - 0.40 MPa) and best approximates field water balance.
650 $aIrrigation
650 $aBalanço Hídrico
650 $aIrrigação
650 $aSimulação
653 $aCotton simulation models
653 $aCrop growth
653 $aCrop simulation model
653 $aModelagem
653 $aWater balance model
700 1 $aSAMMIS, T. W.
700 1 $aASSADIAN, H.
700 1 $aFOWLER, J. L.
773 $tAgricultural Water Management$gv. 22, p. 391-407, 1992.
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