Mostrar el registro sencillo del ítem
dc.contributor.author | Parra-Boronat, Lorena | es_ES |
dc.contributor.author | Botella-Campos, Marta | es_ES |
dc.contributor.author | Puerto, Herminia | es_ES |
dc.contributor.author | Roig-Merino, Bernat | es_ES |
dc.contributor.author | Lloret, Jaime | es_ES |
dc.date.accessioned | 2021-02-09T04:32:30Z | |
dc.date.available | 2021-02-09T04:32:30Z | |
dc.date.issued | 2020-09 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/160910 | |
dc.description.abstract | [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 find appropriate indicators for water-use efficiency. In this paper we propose and test different indicators for service delivery performance, productive efficiency, and economic efficiency. Since the characteristics of the studied area and the citrus cropping system in the East of Spain are particular, we include in our analysis two other variables which are key to understanding the changes in the indicators: the obtained productivity, and the applied irrigation. The indicators and these two variables are tested with the information provided by farmers of citrus orchards belonging to an irrigation community from the East of Spain. The effect of different factors, such as cultivated varieties, type of farmer (professional or non-professional), or plantations' size, are evaluated against the productivity and irrigation performance of the evaluated orchards. The effect of excess of irrigation on the indicators is also studied with the previous factors. Finally, an artificial intelligence system is used to predict productive efficiency of an orchard, based on the size and the water supply. Among the proposed indicators, the service delivery performance indicators came out to be the least useful and might provoke overirrigation due to the lack of accuracy of the data used for its calculation. The productive and economic efficiency indicators have been useful to illustrate the remarkable effect that excess of irrigation has on water efficiency, since a reduction of 66% of productive efficiency is found for some of the analysed varieties. On other cases, a reduction of 50% in economic efficiency is detected due to the excess of irrigation. Moreover, the excess of irrigation implied higher economic efficiency in only one of the evaluated varieties. | es_ES |
dc.description.sponsorship | 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 y Deporte through "Subvenciones para la contratacion de personal investigador en fase postdoctoral", grant number APOSTD/2019/04. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation.ispartof | Agronomy | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Irrigation management | es_ES |
dc.subject | Irrigation indicators | es_ES |
dc.subject | Water use efficiency | es_ES |
dc.subject | Productive efficiency | es_ES |
dc.subject | Service delivery performance | es_ES |
dc.subject | Economic efficiency | es_ES |
dc.subject.classification | INGENIERIA TELEMATICA | es_ES |
dc.subject.classification | COMERCIALIZACION E INVESTIGACION DE MERCADOS | es_ES |
dc.title | Evaluating Irrigation Efficiency with Performance Indicators: A Case Study of Citrus in the East of Spain | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/agronomy10091359 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/609475/EU/EURO-MEDITERRANEAN Cooperation through ERANET joint activities and beyond/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//APOSTD%2F2019%2F047/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions | es_ES |
dc.contributor.affiliation | 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 | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials | es_ES |
dc.description.bibliographicCitation | 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 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/agronomy10091359 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 28 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 10 | es_ES |
dc.description.issue | 9 | es_ES |
dc.identifier.eissn | 2073-4395 | es_ES |
dc.relation.pasarela | S\421725 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Ministerio de Agricultura, Pesca y Alimentación | es_ES |
dc.description.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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | CROPWAT 8.0 Bèta Softwarehttps://cropwat.informer.com/ | es_ES |
dc.description.references | Land and Water Development Division of FAO, Recommendations for CROPWAT Usehttp://www.fao.org/land-water/databases-and-software/cropwat/en/ | es_ES |
dc.description.references | SIAR Database for CLimati Datawww.siar.es | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | Stagraphics Centurion XVI softwarehttps://www.statgraphics.com | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.description.references | 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 | es_ES |
dc.subject.ods | 02.- Poner fin al hambre, conseguir la seguridad alimentaria y una mejor nutrición, y promover la agricultura sostenible | es_ES |