KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/83823
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | N. G. PATIL, G. S. RAJPUT, R. K. NEMA and R. B. SINGH | en_US |
dc.date.accessioned | 2024-07-01T10:59:42Z | - |
dc.date.available | 2024-07-01T10:59:42Z | - |
dc.date.issued | 2009-10-08 | - |
dc.identifier.citation | N. G. PATIL, G. S. RAJPUT, R. K. NEMA and R. B. SINGH | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/83823 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Agricultural crop management decisions often require data on hydraulic properties of soils. Little information is available on hydraulic properties of clay soils that are impounded by rainwater (known as ‘Haveli’ lands) every year during the monsoon season in large tracts of Madhya Pradesh in India. Estimating hydraulic properties using global pedotransfer functions (PTFs) is one possible way to collect such information. Rules in the widely used global PTF Rosetta were executed to obtain estimates of two important hydraulic properties, namely soil water retention characteristics (SWRC) and saturated hydraulic conductivity (Ks). SWRC estimates obtained with maximum input (particle size distribution, bulk density, field capacity and permanent wilting point) in Rosetta were relatively closer to the laboratory-measured data as compared with the estimates obtained with lower levels of input. Root mean square error (RMSE) of estimates ranged from 0.01 to 0.05 m3 /m3 . Hierarchical PTFs to predict Ks from basic soil properties were derived using statistical regression and artificial neural networks. Evaluation of these indicated that neural PTFs were acceptable and hence could be used without loss of accuracy | 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 | Agricultural crop management | en_US |
dc.title | Predicting hydraulic properties 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 | Journal of Agricultural Science and Technology | en_US |
dc.publication.volumeno | 148 | en_US |
dc.publication.pagenumber | 159-170 | 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.publication.authorAffiliation | Faculty, College of Agricultural Engineering J. N. K. V. V., Adhartal P. O., Jabalpur | 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 | 8.6 | en_US |
Appears in Collections: | NRM-NBSSLUP-Publication |
Files in This Item:
File | Description | Size | Format | |
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14. -Publications 5.1.1.14-J025.pdf | 232.05 kB | Adobe PDF | View/Open |
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