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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
19/08/2021 |
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Data da última atualização: |
19/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RODRIGUES, A. L.; VILLA, P. M.; RODRIGUES, L. N. |
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Afiliação: |
ALISSON LOPES RODRIGUES; PEDRO MANUEL VILLA; LINEU NEIVA RODRIGUES, CPAC. |
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Título: |
Water balance estimate of beans using a dynamic systems model based on crop coefficient (kc) variation. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Engenharia na Agricultura, v. 29, p. 81-89, 2021. |
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Páginas: |
p. 81-89 |
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DOI: |
DOI: 10.13083/reveng.v29i1.9767 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT The crop coefficient (Kc) is one of the most important parameters for studying the water balance, which aims to assess the relationship between growth and production dynamics and the management of water resources in irrigation systems. Thus, in this study, the effect of Kc variation on the water balance was evaluated throughout the bean crop cycle in Northeast Brazil, using a dynamic systems model. The effect of Kc variation scenarios on the water balance in the bean crop in Northeastern Brazil was simulated using the Vensim program. The soil water storage was used as state variable, input flow variable and outflow of water in the soil, and auxiliary variables that influence system flows were also considered. Thus, four simulation scenarios were performed changing values of the bean crop coefficient (Kc = 0.62; Kc = 0.72; Kc = 0.82; Kc = 0.92). The variation in soil water storage showed negative values in most phenological phases, showing significant differences between Kc conditions, depending mainly on the precipitation dynamics. |
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Palavras-Chave: |
Déficit hídrico; Modelo hidrológico. |
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Thesagro: |
Evapotranspiração; Phaseolus Vulgaris. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01739naa a2200217 a 4500
001 2133741
005 2021-08-19
008 2021 bl uuuu u00u1 u #d
024 7 $aDOI: 10.13083/reveng.v29i1.9767$2DOI
100 1 $aRODRIGUES, A. L.
245 $aWater balance estimate of beans using a dynamic systems model based on crop coefficient (kc) variation.$h[electronic resource]
260 $c2021
300 $ap. 81-89
520 $aABSTRACT The crop coefficient (Kc) is one of the most important parameters for studying the water balance, which aims to assess the relationship between growth and production dynamics and the management of water resources in irrigation systems. Thus, in this study, the effect of Kc variation on the water balance was evaluated throughout the bean crop cycle in Northeast Brazil, using a dynamic systems model. The effect of Kc variation scenarios on the water balance in the bean crop in Northeastern Brazil was simulated using the Vensim program. The soil water storage was used as state variable, input flow variable and outflow of water in the soil, and auxiliary variables that influence system flows were also considered. Thus, four simulation scenarios were performed changing values of the bean crop coefficient (Kc = 0.62; Kc = 0.72; Kc = 0.82; Kc = 0.92). The variation in soil water storage showed negative values in most phenological phases, showing significant differences between Kc conditions, depending mainly on the precipitation dynamics.
650 $aEvapotranspiração
650 $aPhaseolus Vulgaris
653 $aDéficit hídrico
653 $aModelo hidrológico
700 1 $aVILLA, P. M.
700 1 $aRODRIGUES, L. N.
773 $tEngenharia na Agricultura$gv. 29, p. 81-89, 2021.
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| 1. |  | PASTORELLO, G.; TROTTA, C.; CANFORA, E.; CHU, H.; CHRISTIANSON, D.; CHEAH, Y.; POINDEXTER, C.; CHEN, J.; ELBASHANDY, A.; HUMPHREY, M.; ISAAC, P.; POLIDORI, D.; RIBECA, A.; VAN INGEN, C.; ZHANG, L.; AMIRO, B.; AMMANN, C.; ARAIN, M. A.; ARDÖ, J.; ARKEBAUER, T.; ARNDT, S. K.; ARRIGA, N.; AUBINET, M.; AURELA, M.; BALDOCCHI, D.; BARR, A.; BEAMESDERFER, E.; BELELLI, L. M.; BERGERON, O.; BERINGER, J.; BERNHOFER, C.; BERVEILLER, D.; BILLESBACH, D.; BLACK, T. A.; BLANKEN, P. D.; BOHRER, G.; BOIKE, J.; BOLSTAD, P. V.; BONAL, D.; BONNEFOND, J.; BOWLING, D. R.; ROSVEL, B.; BRODEUR, J.; BRÜMMER, C.; BUCHMANN, N.; BURBAN, B.; BURNS, S. P.; BUYSSE, P.; CALE, P.; CAVAGNA, M.; CELLIER, P.; CHEN, S.; CHINI, I.; CHRISTENSEN, T. R.; CLEVERLY, J.; COLLALTI, A.; CONSALVO, C.; COOK, B. D.; COOK, D.; COURSOLLE, C.; CREMONESE, E.; CURTIS, P. S.; D'ANDREA, E.; ROCHA, H. da; DAI, X.; DAVIS, K. J.; DE CINTI, B.; DE GRANDCOURT, A.; DE LIGNE, A.; OLIVEIRA JUNIOR, R. C. de; DELPIERRE, N.; DESAI, A. R.; DI BELLA, C. M.; DI TOMMASI, P.; DOLMAN, H.; DOMINGO, F.; DONG, G.; DORE, S.; DUCE, P.; DUFRÊNE, E.; DUNN, A.; DUSEK, J.; EAMUS, D.; EICHELMANN, U.; ELKHIDIR, H. A. M.; EUGSTER, W.; EWENZ, C. M.; EWERS, B.; FAMULARI, D.; FARES, S.; FEIGENWINTER, I.; FEITZ, A.; FENSHOLT, R.; FILIPPA, G.; FISCHER, M.; FRANK, J.; GALVAGNO, M.; GHARUN, M.; GIANELLE, D.; GIELEN, B.; GIOLI, B.; GITELSON, A.; GODED, I. B.; GOECKEDE, M.; GOLDSTEIN, A. H.; GOUGH, C. M.; GOULDEN, M. L.; GRAF, A.; GRIEBEL, A.; GRUENING, C.; GRÜNWALD, T.; HAMMERLE, A.; HAN, S.; HAN, X.; HANSEN, B. U.; HANSON, C.; HATAKKA, J.; HE, Y.; HEHN, M.; HEINESCH, B.; HINKO-NAJERA, N.; HÖRTNAGL, L.; HUTLEY, L.; IBROM, A.; IKAWA, H.; JACKOWICZ-KORCZYNSKI, M.; JANOUS, D.; JANS, W.; JASSAL, R.; JIANG, S.; KATO, T.; KHOMIK, M.; KLATT, J.; KNOHL, A.; KNOX, S.; KOBAYASHI, H.; KOERBER, G.; KOLLE, O.; KOSUGI, Y.; KOTANI, A.; KOWALSKI, A.; KRUIJT, B.; KURBATOVA, J.; KUTSCH, W. L.; KWON, H.; LAUNIAINEN, S.; LAURILA, T.; LAW, B.; LEUNING, R.; LI, Y.; LIDDELL, M.; LIMOUSIN, J.; LION, M.; LISKA, A.; LOHILA, A.; LÓPEZ-BALLESTEROS, A.; LÓPEZ-BLANCO, E.; LOUBET, B.; LOUSTAU, D.; LUCAS-MOFFAT, A.; LÜERS, J.; MA, S.; MACFARLANE, C.; MAGLIULO, V.; MAIER, R.; MAMMARELLA, I.; MANCA, G.; MARCOLLA, B.; MARGOLIS, H.; MARRAS, S.; MASSMAN, W.; MASTEPANOV, M.; MATAMALA, R.; MATTHES, J. H.; MAZZENGA, F.; MCCAUGHEY, H.; MCHUGH, I.; MCMILLAN, A. M. S.; MERBOLD, L.; MEYER, W.; MEYERS, T.; MILLER, S. D.; MINERBI, S.; MODEROW, U.; MONSON, R. K.; MONTAGNANI, L.; MOORE, C. E.; MOORS, E.; MOREAUX, V.; MOUREAUX, C.; MUNGER, J. W.; NAKAI, T.; NEIRYNCK, J.; NESIC, Z.; NICOLINI, G.; NOORMETS, A.; NORTHWOOD, M.; NOSETTO, M.; NOUVELLON, Y.; NOVICK, K.; WALTER, O.; OLESEN, J. E.; OURCIVAL, J.; PAPUGA, S. A.; PARMENTIER, F.; PAUL-LIMOGES, E.; PAVELKA, M.; PEICHL, M.; PENDALL, E.; PHILLIPS, R. P.; PILEGAARD, K.; PIRK, N.; POSSE, G.; POWELL, T.; PRASSE, H.; PROBER, S. M.; RAMBAL, S.; RANNIK, U.; RAZ-YASEEF, N.; REED, D.; RESCO DE DIOS, V.; RESTREPO-COUPE, N.; REVERTER, B. R.; ROLAND, M.; SABBATINI, S.; SACHS, T.; SALESKA, S. R.; SÁNCHEZ-CAÑETE, E. P.; SANCHEZ-MEJIA, Z. M.; SCHMID, H. P.; SCHMIDT, M.; SCHNEIDER, K.; SCHRADER, F.; SCHRODER, I.; SCOTT, R. L.; SEDLÁK, P.; SERRANO-ORTÍZ, P.; SHAO, C.; SHI, P.; SHIRONYA, I.; SIEBICKE, L.; SIGUT, L.; SILBERSTEIN, R.; SIRCA, C.; SPANO, D.; STEINBRECHER, R.; STEVENS, R. M.; STURTEVANT, C.; SUYKER, A.; TAGESSON, T.; TAKANASHI, S.; TANG, Y.; TAPPER, N.; THOM, J.; TIEDEMANN, F.; TOMASSUCCI, M.; TUOVINEN, J.; URBANSKI, S.; VALENTINI, R.; VAN DER MOLEN, M.; VAN GORSEL, E.; VAN HUISSTEDEN, K.; VARLAGIN, A.; VERFAILLIE, J.; VESALA, T.; VINCKE, C.; VITALE, D.; VYGODSKAYA, N.; WALKER, J. P.; WALTER-SHEA, E.; WANG, H.; WEBER, R.; WESTERMANN, S.; WILLE, C.; WOFSY, S.; WOHLFAHRT, G.; WOLF, S.; WOODGATE, W.; YUELIN, L.; ZAMPEDRI, R.; ZHANG, J.; ZHOU, G.; ZONA, D.; AGARWAL, D.; BIRAUD, S.; TORN, M.; PAPALE, D. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data, v. 7, Article number 225, 2020. 27 p.| Biblioteca(s): Embrapa Amazônia Oriental. |
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