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Evaluating Irrigation Efficiency with Performance Indicators: A Case Study of Citrus in the East of Spain

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Evaluating Irrigation Efficiency with Performance Indicators: A Case Study of Citrus in the East of Spain

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Parra-Boronat, L.; Botella-Campos, M.; Puerto, H.; Roig-Merino, B.; Lloret, J. (2020). Evaluating Irrigation Efficiency with Performance Indicators: A Case Study of Citrus in the East of Spain. Agronomy. 10(9):1-28. https://doi.org/10.3390/agronomy10091359

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/160910

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Título: Evaluating Irrigation Efficiency with Performance Indicators: A Case Study of Citrus in the East of Spain
Autor: Parra-Boronat, Lorena Botella-Campos, Marta Puerto, Herminia Roig-Merino, Bernat Lloret, Jaime
Entidad UPV: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials
Fecha difusión:
Resumen:
[EN] Improving water efficiency in farming systems is one of the major challenges of these decades. Water scarcity due to climate change, together with the increasing demand of food, is leading experts from around the world ...[+]
Palabras clave: Irrigation management , Irrigation indicators , Water use efficiency , Productive efficiency , Service delivery performance , Economic efficiency
Derechos de uso: Reconocimiento (by)
Fuente:
Agronomy. (eissn: 2073-4395 )
DOI: 10.3390/agronomy10091359
Editorial:
MDPI
Versión del editor: https://doi.org/10.3390/agronomy10091359
Código del Proyecto:
info:eu-repo/grantAgreement/EC/FP7/609475/EU/EURO-MEDITERRANEAN Cooperation through ERANET joint activities and beyond/
info:eu-repo/grantAgreement/GVA//APOSTD%2F2019%2F047/
Agradecimientos:
This work was partially funded by the European Union through ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project ERANETMED3-227 SMARTWATIR and by Conselleria de Educacion, Cultura ...[+]
Tipo: Artículo

References

Spiegal, S., Bestelmeyer, B. T., Archer, D. W., Augustine, D. J., Boughton, E. H., Boughton, R. K., … Walthall, C. L. (2018). Evaluating strategies for sustainable intensification of US agriculture through the Long-Term Agroecosystem Research network. Environmental Research Letters, 13(3), 034031. doi:10.1088/1748-9326/aaa779

Cazcarro, I., Duarte, R., Martín-Retortillo, M., Pinilla, V., & Serrano, A. (2015). How Sustainable is the Increase in the Water Footprint of the Spanish Agricultural Sector? A Provincial Analysis between 1955 and 2005–2010. Sustainability, 7(5), 5094-5119. doi:10.3390/su7055094

Cazcarro, I., Duarte, R., Martín-Retortillo, M., Pinilla, V., & Serrano, A. (2015). Water scarcity and agricultural growth in Spain. Natural Resources and Economic Growth, 339-361. doi:10.4324/9781315769356-16 [+]
Spiegal, S., Bestelmeyer, B. T., Archer, D. W., Augustine, D. J., Boughton, E. H., Boughton, R. K., … Walthall, C. L. (2018). Evaluating strategies for sustainable intensification of US agriculture through the Long-Term Agroecosystem Research network. Environmental Research Letters, 13(3), 034031. doi:10.1088/1748-9326/aaa779

Cazcarro, I., Duarte, R., Martín-Retortillo, M., Pinilla, V., & Serrano, A. (2015). How Sustainable is the Increase in the Water Footprint of the Spanish Agricultural Sector? A Provincial Analysis between 1955 and 2005–2010. Sustainability, 7(5), 5094-5119. doi:10.3390/su7055094

Cazcarro, I., Duarte, R., Martín-Retortillo, M., Pinilla, V., & Serrano, A. (2015). Water scarcity and agricultural growth in Spain. Natural Resources and Economic Growth, 339-361. doi:10.4324/9781315769356-16

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. doi:10.1016/j.agwat.2014.07.012

Van Grinsven, H. J. M., van Eerdt, M. M., Westhoek, H., & Kruitwagen, S. (2019). Benchmarking Eco-Efficiency and Footprints of Dutch Agriculture in European Context and Implications for Policies for Climate and Environment. Frontiers in Sustainable Food Systems, 3. doi:10.3389/fsufs.2019.00013

Weststrate, J., Dijkstra, G., Eshuis, J., Gianoli, A., & Rusca, M. (2018). The Sustainable Development Goal on Water and Sanitation: Learning from the Millennium Development Goals. Social Indicators Research, 143(2), 795-810. doi:10.1007/s11205-018-1965-5

Azad, M. A. S., & Ancev, T. (2014). Measuring environmental efficiency of agricultural water use: A Luenberger environmental indicator. Journal of Environmental Management, 145, 314-320. doi:10.1016/j.jenvman.2014.05.037

Nam, W.-H., Hong, E.-M., & Choi, J.-Y. (2016). Assessment of water delivery efficiency in irrigation canals using performance indicators. Irrigation Science, 34(2), 129-143. doi:10.1007/s00271-016-0488-6

Sabiha, N.-E., Salim, R., Rahman, S., & Rola-Rubzen, M. F. (2016). Measuring environmental sustainability in agriculture: A composite environmental impact index approach. Journal of Environmental Management, 166, 84-93. doi:10.1016/j.jenvman.2015.10.003

Pham, L. V., & Smith, C. (2014). Drivers of agricultural sustainability in developing countries: a review. Environment Systems and Decisions, 34(2), 326-341. doi:10.1007/s10669-014-9494-5

Santiago-Brown, I., Metcalfe, A., Jerram, C., & Collins, C. (2015). Sustainability Assessment in Wine-Grape Growing in the New World: Economic, Environmental, and Social Indicators for Agricultural Businesses. Sustainability, 7(7), 8178-8204. doi:10.3390/su7078178

Todorovic, M., Mehmeti, A., & Scardigno, A. (2016). Eco-efficiency of agricultural water systems: Methodological approach and assessment at meso-level scale. Journal of Environmental Management, 165, 62-71. doi:10.1016/j.jenvman.2015.09.011

Saladini, F., Betti, G., Ferragina, E., Bouraoui, F., Cupertino, S., Canitano, G., … Bastianoni, S. (2018). Linking the water-energy-food nexus and sustainable development indicators for the Mediterranean region. Ecological Indicators, 91, 689-697. doi:10.1016/j.ecolind.2018.04.035

CROPWAT 8.0 Bèta Softwarehttps://cropwat.informer.com/

Land and Water Development Division of FAO, Recommendations for CROPWAT Usehttp://www.fao.org/land-water/databases-and-software/cropwat/en/

SIAR Database for CLimati Datawww.siar.es

Todorovic, M., Karic, B., & Pereira, L. S. (2013). Reference evapotranspiration estimate with limited weather data across a range of Mediterranean climates. Journal of Hydrology, 481, 166-176. doi:10.1016/j.jhydrol.2012.12.034

Awal, R., Habibi, H., Fares, A., & Deb, S. (2020). Estimating reference crop evapotranspiration under limited climate data in West Texas. Journal of Hydrology: Regional Studies, 28, 100677. doi:10.1016/j.ejrh.2020.100677

Tomas-Burguera, M., Vicente-Serrano, S. M., Grimalt, M., & Beguería, S. (2017). Accuracy of reference evapotranspiration (ET o ) estimates under data scarcity scenarios in the Iberian Peninsula. Agricultural Water Management, 182, 103-116. doi:10.1016/j.agwat.2016.12.013

Stagraphics Centurion XVI softwarehttps://www.statgraphics.com

Karasekreter, N., Başçiftçi, F., & Fidan, U. (2013). A new suggestion for an irrigation schedule with an artificial neural network. Journal of Experimental & Theoretical Artificial Intelligence, 25(1), 93-104. doi:10.1080/0952813x.2012.680071

Kelley, J., & Pardyjak, E. (2019). Using Neural Networks to Estimate Site-Specific Crop Evapotranspiration with Low-Cost Sensors. Agronomy, 9(2), 108. doi:10.3390/agronomy9020108

Mesejo, C., Martínez-Fuentes, A., Reig, C., Balasch, S., Primo-Millo, E., & Agustí, M. (2020). Mechanical pruning attenuates alternate bearing in ‘Nadorcott’ mandarin. Scientia Horticulturae, 261, 108993. doi:10.1016/j.scienta.2019.108993

Marín, J., Yousfi, S., Mauri, P. V., Parra, L., Lloret, J., & Masaguer, A. (2020). RGB Vegetation Indices, NDVI, and Biomass as Indicators to Evaluate C3 and C4 Turfgrass under Different Water Conditions. Sustainability, 12(6), 2160. doi:10.3390/su12062160

Cammalleri, C., Anderson, M. C., Gao, F., Hain, C. R., & Kustas, W. P. (2014). Mapping daily evapotranspiration at field scales over rainfed and irrigated agricultural areas using remote sensing data fusion. Agricultural and Forest Meteorology, 186, 1-11. doi:10.1016/j.agrformet.2013.11.001

Chai, Q., Gan, Y., Zhao, C., Xu, H.-L., Waskom, R. M., Niu, Y., & Siddique, K. H. M. (2015). Regulated deficit irrigation for crop production under drought stress. A review. Agronomy for Sustainable Development, 36(1). doi:10.1007/s13593-015-0338-6

Yu, L., Zhao, X., Gao, X., & Siddique, K. H. M. (2020). Improving/maintaining water-use efficiency and yield of wheat by deficit irrigation: A global meta-analysis. Agricultural Water Management, 228, 105906. doi:10.1016/j.agwat.2019.105906

García, L., Parra, L., Jimenez, J. M., Lloret, J., & Lorenz, P. (2020). IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture. Sensors, 20(4), 1042. doi:10.3390/s20041042

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