Predicting soil EC e based on values of EC 1:2.5 as an indicator of soil salinity at Magozi irrigation scheme, Iringa, Tanzania

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dc.contributor.authorIsdory, D.P
dc.contributor.authorMassawe, B.H.J
dc.contributor.authorMsanya, B.M
dc.date.accessioned2023-03-20T10:11:06Z
dc.date.available2023-03-20T10:11:06Z
dc.date.issued2021
dc.descriptionJournal articleen_US
dc.description.abstractSoil salinity is one of the limitations to sustainable production of rice and other crops in many irrigation schemes in Tanzania. Soil salinity can be assessed from electrical conductivity (EC) measurements. Most soil laboratories in Tanzania appraise soil salinity from measurements of electrical conductivity of 1:2.5 soil:water suspensions (EC 1:2.5 ) by virtue of their simplicity. However, the influence of soil salinity on plant growth is mainly based on electrical conductivity of saturated paste extract (EC e ), so it is necessary to convert EC 1:2.5 to EC e in order to assess plant response to salinity. This study was conducted at Magozi Irrigation Scheme in Iringa Region, Tanzania to establish regression model for predicting EC e from EC 1:2.5 values. A total of 60 soil samples (45 samples for model training and 15 samples for model validation) were collected and analyzed for soil EC 1:2.5 , EC e and soil texture. Results showed that EC 1:2.5 ranged from 0.1 to 4.2 dS m -1 with a mean value of 0.71 dS m -1 . EC e obtained ranged from 0.3 (non-saline) to 12 dS m -1 (very saline) with a mean of 2.4 dS m -1 (slightly saline). In order of dominance, soil textural classes were sandy clay loam, clay, sandy clay, sandy loam and clay loam. Strong linear relationships between EC e and EC 1:2.5 were observed in the developed linear regression equations. After validation, the study selected equation ECe = 3.4954*EC 1:2.5 with R 2 of 0.956 for combined soil textures to be used for prediction of EC e from EC 1:2.5 at Magozi Irrigation Scheme. This model can be tested for its applicability to other similar soils in Tanzania in further studies.en_US
dc.identifier.urihttp://www.suaire.sua.ac.tz/handle/123456789/5031
dc.language.isoenen_US
dc.publisherAn International Journal of Basic and Applied Researchen_US
dc.subjectSoil salinityen_US
dc.subjectEC een_US
dc.subjectEC 1:2.5en_US
dc.subjectSoil salinity predictionen_US
dc.subjectMagozi irrigation schemeen_US
dc.titlePredicting soil EC e based on values of EC 1:2.5 as an indicator of soil salinity at Magozi irrigation scheme, Iringa, Tanzaniaen_US
dc.typeArticleen_US

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