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http://krishi.icar.gov.in/jspui/handle/123456789/83812
Title: | Calibration and evaluation of pedotransfer functions to estimate available water capacity of seasonally impounded shrink-swell soils of central India |
Other Titles: | Not Available |
Authors: | Nitin Gorakh Patil, Govind Singh Rajput , Rakesh Kumar Nema and Ran Bahadur Singh |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Bureau of Soil Survey and Land Use Planning College of Agricultural Engineering, Department of Soil Water Engineering, Nehru Krishi Vishwavidyalaya, Krishi Nagar Adhartal, Jabalpur |
Published/ Complete Date: | 2010-10-16 |
Project Code: | Not Available |
Keywords: | regressions, soil, water, moisture |
Publisher: | Not Available |
Citation: | Nitin Gorakh Patil, Govind Singh Rajput , Rakesh Kumar Nema and Ran Bahadur Singh |
Series/Report no.: | Not Available; |
Abstract/Description: | Pedotransfer functions (PTF) to estimate available water capacity of seasonally impounded shrink-swell soils of central India are presented. Performance of the calibrated PTFs is compared with that of ‘Rosetta’ a widely used general PTF. Available information on soil properties contained nine point soil water retention data for 175 samples measured at varied potentials, textural composition, bulk density and organic carbon content. Nine widely used water retention functions proposed by different researchers were fitted to the measured data and evaluated for efficacy to describe water retention characteristics (WRC). Of the nine functions evaluated, Brooks-Corey, van Genuchten, and Campbell functions were recommended for describing WRC of these soils. We present point PTFs to estimate available water capacity (AWC) using two approaches-regression and artificial neural networks (ANN). Point estimation PTFs were calibrated for water contents at 733 and 71500 kPa and consequently AWC. Performance evaluation with root mean square error (RMSE) criteria suggested that ANN based PTFs were better than regression PTFs. Performance evaluation of ‘Rosetta’ suggested its limited applicability for the study area. Region-specific PTFs to predict AWC were recommended. Increasing the number of predictor variables improved performance of neural PTFs and ‘Rosetta’. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Archives of Agronomy and Soil Science |
Journal Type: | included in NAAS Journal List |
NAAS Rating: | 9.09 |
Volume No.: | 56(5) |
Page Number: | 525-538 |
Name of the Division/Regional Station: | Division of LUP |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/83812 |
Appears in Collections: | NRM-NBSSLUP-Publication |
Files in This Item:
File | Description | Size | Format | |
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4. Publications 5.1.1.4-A281.pdf | 1.08 MB | Adobe PDF | View/Open |
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