KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/83830
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | N.G. Patil and G.S. Rajput | en_US |
dc.date.accessioned | 2024-07-01T11:06:04Z | - |
dc.date.available | 2024-07-01T11:06:04Z | - |
dc.date.issued | 2014-03-10 | - |
dc.identifier.citation | N.G. Patil and G.S. Rajput | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/83830 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Measurement of soil hydraulic properties is an arduous task, especially to meet the large scale data requirements. This has prompted numerous studies on surrogate estimation of hydraulic properties. Objective of this study was to build regional hydraulic database and develop pedotransfer functions (PTF) for estimation of water retention characteristics (WRC) of seasonally impounded shrink-swell soils. Soil samples from 41 soil profiles were analyzed in the laboratory for soil-water retention at nine pre-determined suction pressure points and basic soil properties. These data were used for calibrating neural PTFs to predict Van Genuchten (VG) function parameters for prediction of WRC from basic soil properties data. Routine method of deriving and relating retention function parameters to basic soil properties and Neuro-m method resulted in unacceptable PTFs (RMSE > 0.05 m3 m-3) . In place of parameters derived from SWRC, we used ‘Rosetta’ estimates of VG parameters to relate basic soil properties. Resultant hierarchical parametric PTFs with prediction accuracy of RMSE < 0.05m3 m-3 are presented. Successful calibration of PTFs using modified method indicates that no method is generic. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Not Available | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Neural networks, Pedotransfer function, Soil water retention characteristics, VG function, Waterlogged soils | en_US |
dc.title | SURROGATE ESTIMATION OF SOIL WATER RETENTION CHARACTERISTICS OF SEASONALLY IMPOUNDED SOILS | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Indian Journal of Agricultural Research | en_US |
dc.publication.volumeno | 48(6) | en_US |
dc.publication.pagenumber | 409-420 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | Not Available | en_US |
dc.publication.authorAffiliation | ICAR::National Bureau of Soil Survey and Land Use Planning | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | included in NAAS Journal List | en_US |
dc.publication.naasrating | 5.2 | en_US |
Appears in Collections: | NRM-NBSSLUP-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
22. -Publications 5.1.1.23-I031.pdf | 423.55 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.