Irrigation demand of economically significant crops in the Araras Norte and Baixo Acaraú districts, Ceará, Brazil

Authors

DOI:

https://doi.org/10.33448/rsd-v11i9.30816

Keywords:

Banana; Papaya; Coconut; Crop water requirement.

Abstract

The aim of this study was to analyze the water demand in banana, papaya and coconut crops grown in the irrigation districts of Araras Norte and Baixo Acaraú, located in the State of Ceará. A historical meteorological series of the regions where the irrigation districts from this study are located was used. Precipitation, maximum and minimum temperatures, and relative humidity data were obtained from these historical series. From the acquired precipitation data, to analyze the frequency and intensity of dry and rainy years in the area, the Rainfall Anomaly Index was calculated. Based on the meteorological data from the historical series, the reference evapotranspiration by the Hargreaves-Samani method and the crop evapotranspiration were determined. The crop water requirement was obtained based on crop evapotranspiration and precipitation. In the plots, irrigation systems were evaluated and the application efficiency was determined in order to obtain the supplementary irrigation requirement. The irrigation depths used in the Araras Norte and Baixo Acaraú irrigation districts were underestimated, not meeting the supplementary irrigation requirement. For banana and papaya crops in the Araras Norte irrigation district, performing irrigation in the first semester and applying irrigation management throughout the year could correct the water deficit. For banana and coconut crops in the Baixo Acaraú irrigation district, it would be necessary to correct the irrigation depth in the second semester, through adequate irrigation management, because in the first semester precipitation would be sufficient to meet the crop water requirement.

References

Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration – Guidelines for computing crop water requirements. Roma: FAO Irrigation and Drainage paper, 56, 1-306.

Alves, J. O., Pereira, P. C., Queiroz, M. G., Silva, T. G. F., Ferreira, J. M. F., & Araújo Júnior, G. D. N. (2016). Índice de anomalia de chuva para diferentes mesorregiões do Estado de Pernambuco. Revista Pensar Acadêmico, 14 (1), 3747.

ANA (2021). Agência Nacional de Águas e Saneamento Básico. Atlas irrigação: uso da água na agricultura irrigada. Brasília: ANA, 1-66.

Cruz, J. S., Souza, E. C., Saraiva, K. R., Beltrão Júnior, J. A., Menezes, B. R. Q., & Camargo, D. C. (2016). Utilização do sistema s@ i como ferramenta administrativa no uso da alocação de água no distrito de irrigação do Baixo Acaraú – DIBAU. Revista Brasileira de Agricultura Irrigada-RBAI, 10 (2), 468-476.

Davijani, M. H., Banihabib, M. E., Anvar, A. N., & Hashemi, S. R. (2016). Optimization model for the allocation of water resources based on the maximization of employment in the agriculture and industry sectors. Journal of Hydrology, 533, 430-438. 10.1016/j.jhydrol.2015.12.025

Doorenbos, J. & Kassam, A. H. (1994). Efeito da água no rendimento das culturas. Campina Grande: UFPB. Estudos FAO: Irrigação e Drenagem, 33, 1-306.

Fonseca, J. S. & Martins, G. A. (2011). Curso de estatística. (6a ed.) Atlas, 1-320.

Hänsel, S., Schucknecht, A., & Matschullat, J. (2016). The Modified Rainfall Anomaly Index (mRAI)—is this an alternative to the Standardised Precipitation Index (SPI) in evaluating future extreme precipitation characteristics. Theoretical and applied climatology, 123 (34), 827-844.

Hargreaves, G. H. & Samani, Z. A. (1985). Reference crop evapotranspiration from temperature. Journal of Applied Engineering in Agriculture, 1 (2), 96-99.

Huang, J., Yu, H., Guan, X., Wang, G., & Guo, R. (2016). Accelerated dryland expansion under climate change. Nature Climate Change. 6, 166-171, doi:10.1038/nclimate2837.

Hu, Z., Chen, Y., Yao, L., Wei, C., & Li, C. (2016). Optimal allocation of regional water resources: From a perspective of equity–efficiency tradeoff. Resources, Conservation and Recycling, 109, 102-113. DOI: 10.1016/j.resconrec.2016.02.001

Kang, S., Hao, X., Du, T., Tong, L., Su, X., Lu, H., Lia, X., Huoa, Z., Lia, S., & Ding, R. (2017). Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice. Agricultural Water Management, 179, 5-17.

Levidow, L., Zaccaria, D., Maia, R., Vivas, E., Todorovic, M., & Scardigno, A. (2014). Improving water-efficient irrigation: Prospects and difficulties of innovative practices. Agricultural Water Management, 146, 84-94.

Lima Junior, J. C. D., Arraes, F. D. D., Oliveira, J. B. D., Nascimento, F. A. L. D., & Macêdo, K. G. D. (2016). Parametrização da equação de Hargreaves e Samani para estimativa da evapotranspiração de referência no Estado do Ceará, Brasil. Revista Ciência Agronômica, 47 (3), 447-454.

Miranda, F. R. & Gomes, A. R. M. (2006). Manejo da irrigação Coqueiro-Anão. Fortaleza: Embrapa Agroindústria Tropical. Circular técnica, 25, 1-8.

Oliveira, S. L., Borges, A. L., Coelho, E. F., Coelho Filho, M. A., & Silva, J. T. A. (2005). Uso da irrigação e da fertirrigação na produção integrada de banana no norte de Minas Gerais. Cruz das Almas, BA. Embrapa Mandioca e Fruticultura, Circular Técnica, 77, 1-7.

Rozenstein, O., Haymann, N., Kaplan, G., & Tanny, J. (2018). Estimating cotton water consumption using a time series of Sentinel-2 imagery. Agricultural Water Management, 207, 44-52.

Silva, J. R. I., Souza, R. M. S., Santo, W. A., Almeida, A. Q., Souza, E. S., & Antonino, A. C. D. (2017). Aplicação do método de Budyko para modelagem do balanço hídrico no semiárido brasileiro. Scientia Plena, 13 (11), 109908.

Tomazetti, T. C., Rossarolla, M. D., Zeist, A. R., Giacobbo, C. L., Welter, L. J., & Alberto, C. M. (2015). Fenologia e acúmulo térmico em videiras viníferas na região da Fronteira Oeste do Rio Grande do Sul. Pesquisa Agropecuária Brasileira, Brasília, 50 (11), 1033-1041.

Xie, Y. L., Xia, D. X., Ji, L., & Huang, G. H. (2018). An inexact stochastic-fuzzy optimization model for agricultural water allocation and land resources utilization management under considering effective rainfall. Ecological indicators, 92, 301-311. 10.1016/j.ecolind.2017.09.026

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Published

02/07/2022

How to Cite

VALNIR JUNIOR, M. .; GOMES FILHO, R. R.; ALMEIDA, C. L. de; ROCHA, J. P. A. da; LIMA, S. C. R. V.; ANDRADE, R. F. de; BRITO, M. J. R. Irrigation demand of economically significant crops in the Araras Norte and Baixo Acaraú districts, Ceará, Brazil. Research, Society and Development, [S. l.], v. 11, n. 9, p. e6011930816, 2022. DOI: 10.33448/rsd-v11i9.30816. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/30816. Acesso em: 19 apr. 2024.

Issue

Vol. 11 No. 9

Section

Agrarian and Biological Sciences

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Copyright (c) 2022 Manoel Valnir Junior; Raimundo Rodrigues Gomes Filho; Cicero Lima de Almeida; João Paulo Alves da Rocha; Sílvio Carlos Ribeiro Vieira Lima; Raquel Ferreira de Andrade; Maria Josiely Rodrigues Brito

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