Financial assessment of adopting irrigation technology for plant-based regulated deficit irrigation scheduling in super high-density olive orchards

10 páginas..-- 5 figuras.-- 3 tablas.--61 referencias

Detalhes bibliográficos
Autores: Egea, Gregorio, Fernández Luque, José Enrique, Alcón, Francisco
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2017
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/151641
Acesso em linha:http://hdl.handle.net/10261/151641
Access Level:acceso abierto
Palavra-chave:Hedgerow olive orchard
Olea europaea
Precision irrigation
Water economy
Water productivity
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spelling Financial assessment of adopting irrigation technology for plant-based regulated deficit irrigation scheduling in super high-density olive orchardsEgea, GregorioFernández Luque, José EnriqueAlcón, FranciscoHedgerow olive orchardOlea europaeaPrecision irrigationWater economyWater productivity10 páginas..-- 5 figuras.-- 3 tablas.--61 referenciasHedgerow orchards with high plant densities, or super high-density (SHD) orchards, are considered to be amongst the most profitable management systems for most fruit-tree species. Regulated deficit irrigation (RDI) strategies are recommended for SHD olive orchards, especially when scheduled from automatic and continuous measurements of plant water stress. There is a lack of information, however, on the profitability of this approach. In this work we analysed the financial feasibility of using three different systems for monitoring water stress in an ‘Arbequina’ SHD olive orchard under a RDI strategy recommended for the experimental area (SW Spain). The systems were based on sap flow (SF), trunk diameter variation (TDV) and leaf turgor pressure (TP) related measurements. We first compared their equivalent annual cost (EAC), resulting the TP based technology as that with the greatest potential to be adopted by farmers. We then used Discounted Cash Flow Analysis (DCFA) to compare the financial feasibility of an RDI treatment scheduled from TP related measurements and providing 45% of the crop water needs (45RDITP) with both a similar treatment but scheduled with the crop coefficient approach (45RDICC) and a fully irrigated (FI) treatment. Our results from two irrigation seasons demonstrated that the 45RDI strategy guarantees the profitability of SHD olive orchards in the long-term, with both 45RDICC and 45RDITP showing positive Net Present Value and Internal Rate of Return above the interest on capital. All the financial indicators suggested higher financial performance of 45RDITP as compared to 45RDICC, but differences were not significant, likely because of the high variability among replicates. The financial impact of Common Agricultural Policy payments as well as varying olive oil and irrigation water prices on the irrigation treatments was discussed.This work was funded by the Spanish Ministry of Economy and Competitiveness (research project AGL2012-34544), by the Junta de Andalucía (research project AGR-6456-2010) and by the FEDER programme. Antonio Montero helped us with the field and laboratory work. Thanks to the owners of Internacional Olivarera, S.A.U. (Interoliva)Peer reviewedElsevierMinisterio de Economía y Competitividad (España)Junta de AndalucíaEuropean CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201720172017info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/151641reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1016/j.agwat.2017.03.008Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1516412026-05-22T06:33:51Z
dc.title.none.fl_str_mv Financial assessment of adopting irrigation technology for plant-based regulated deficit irrigation scheduling in super high-density olive orchards
title Financial assessment of adopting irrigation technology for plant-based regulated deficit irrigation scheduling in super high-density olive orchards
spellingShingle Financial assessment of adopting irrigation technology for plant-based regulated deficit irrigation scheduling in super high-density olive orchards
Egea, Gregorio
Hedgerow olive orchard
Olea europaea
Precision irrigation
Water economy
Water productivity
title_short Financial assessment of adopting irrigation technology for plant-based regulated deficit irrigation scheduling in super high-density olive orchards
title_full Financial assessment of adopting irrigation technology for plant-based regulated deficit irrigation scheduling in super high-density olive orchards
title_fullStr Financial assessment of adopting irrigation technology for plant-based regulated deficit irrigation scheduling in super high-density olive orchards
title_full_unstemmed Financial assessment of adopting irrigation technology for plant-based regulated deficit irrigation scheduling in super high-density olive orchards
title_sort Financial assessment of adopting irrigation technology for plant-based regulated deficit irrigation scheduling in super high-density olive orchards
dc.creator.none.fl_str_mv Egea, Gregorio
Fernández Luque, José Enrique
Alcón, Francisco
author Egea, Gregorio
author_facet Egea, Gregorio
Fernández Luque, José Enrique
Alcón, Francisco
author_role author
author2 Fernández Luque, José Enrique
Alcón, Francisco
author2_role author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Junta de Andalucía
European Commission
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Hedgerow olive orchard
Olea europaea
Precision irrigation
Water economy
Water productivity
topic Hedgerow olive orchard
Olea europaea
Precision irrigation
Water economy
Water productivity
description 10 páginas..-- 5 figuras.-- 3 tablas.--61 referencias
publishDate 2017
dc.date.none.fl_str_mv 2017
2017
2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/151641
url http://hdl.handle.net/10261/151641
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1016/j.agwat.2017.03.008
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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