000069453 001__ 69453
000069453 005__ 20191127155456.0
000069453 0247_ $$2doi$$a10.3390/s18020616
000069453 0248_ $$2sideral$$a104575
000069453 037__ $$aART-2018-104575
000069453 041__ $$aeng
000069453 100__ $$aCasterad, M.A.
000069453 245__ $$aSensor-based assessment of soil salinity during the first years of transition from flood to sprinkler irrigation
000069453 260__ $$c2018
000069453 5060_ $$aAccess copy available to the general public$$fUnrestricted
000069453 5203_ $$aA key issue for agriculture in irrigated arid lands is the control of soil salinity, and this is one of the goals for irrigated districts when changing from flood to sprinkling irrigation. We combined soil sampling, proximal electromagnetic induction, and satellite data to appraise how soil salinity and its distribution along a previously flood-irrigated field evolved after its transformation to sprinkling. We also show that the relationship between NDVI (normalized difference vegetation index) and ECe (electrical conductivity of the soil saturation extracts) mimics the production function between yield and soil salinity. Under sprinkling, the field had a double crop of barley and then sunflower in 2009 and 2011. In both years, about 50% of the soil of the entire studied field— 45 ha—had ECe < 8 dS m-1i.e., allowing barley cultivation, while the percent of surface having ECe = 16 dS m-1 increased from 8.4% in 2009 to 13.7% in 2011. Our methodology may help monitor the soil salinity oscillations associated with irrigation management. After quantifying and mapping the soil salinity in 2009 and 2011, we show that barley was stunted in places of the field where salinity was higher. Additionally, the areas of salinity persisted after the subsequent alfalfa cropping in 2013. Application of differential doses of water to the saline patches is a viable method to optimize irrigation water distribution and lessen soil salinity in sprinkler-irrigated agriculture.
000069453 536__ $$9info:eu-repo/grantAgreement/ES/INIA/RTA2008-083-C02-02
000069453 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000069453 590__ $$a3.031$$b2018
000069453 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b15 / 61 = 0.246$$c2018$$dQ1$$eT1
000069453 591__ $$aCHEMISTRY, ANALYTICAL$$b23 / 84 = 0.274$$c2018$$dQ2$$eT1
000069453 591__ $$aELECTROCHEMISTRY$$b12 / 26 = 0.462$$c2018$$dQ2$$eT2
000069453 592__ $$a0.592$$b2018
000069453 593__ $$aAnalytical Chemistry$$c2018$$dQ2
000069453 593__ $$aAtomic and Molecular Physics, and Optics$$c2018$$dQ2
000069453 593__ $$aMedicine (miscellaneous)$$c2018$$dQ2
000069453 593__ $$aElectrical and Electronic Engineering$$c2018$$dQ2
000069453 593__ $$aInstrumentation$$c2018$$dQ2
000069453 593__ $$aBiochemistry$$c2018$$dQ2
000069453 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000069453 700__ $$0(orcid)0000-0001-8273-3141$$aHerrero, J.$$uUniversidad de Zaragoza
000069453 700__ $$0(orcid)0000-0002-4161-4565$$aBetrán, J.A.$$uUniversidad de Zaragoza
000069453 700__ $$aRitchie, G.
000069453 7102_ $$15011$$2220$$aUniversidad de Zaragoza$$bDpto. CC.Agrar.y Medio Natural$$cÁrea Ecología
000069453 7102_ $$15011$$2240$$aUniversidad de Zaragoza$$bDpto. CC.Agrar.y Medio Natural$$cÁrea Edafología y Quím.Agríco.
000069453 773__ $$g18, 2 (2018), 616 [18 pp]$$pSensors$$tSensors (Switzerland)$$x1424-8220
000069453 8564_ $$s1304093$$uhttps://zaguan.unizar.es/record/69453/files/texto_completo.pdf$$yVersión publicada
000069453 8564_ $$s122825$$uhttps://zaguan.unizar.es/record/69453/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000069453 909CO $$ooai:zaguan.unizar.es:69453$$particulos$$pdriver
000069453 951__ $$a2019-11-27-15:47:34
000069453 980__ $$aARTICLE