Pedotransfer functions to estimate soil water content at field capacity and permanent wilting point in hot Arid Western India
- 102 Downloads
Characterization of soil water retention, e.g., water content at field capacity (FC) and permanent wilting point (PWP) over a landscape plays a key role in efficient utilization of available scarce water resources in dry land agriculture; however, direct measurement thereof for multiple locations in the field is not always feasible. Therefore, pedotransfer functions (PTFs) were developed to estimate soil water retention at FC and PWP for dryland soils of India. A soil database available for Arid Western India (N=370) was used to develop PTFs. The developed PTFs were tested in two independent datasets from arid regions of India (N=36) and an arid region of USA (N=1789). While testing these PTFs using independent data from India, root mean square error (RMSE) was found to be 2.65 and 1.08 for FC and PWP, respectively, whereas for most of the tested ‘established’ PTFs, the RMSE was >3.41 and >1.15, respectively. Performance of the developed PTFs from the independent dataset from USA was comparable with estimates derived from ‘established’ PTFs. For wide applicability of the developed PTFs, a user-friendly soil moisture calculator was developed. The PTFs developed in this study may be quite useful to farmers for scheduling irrigation water as per soil type.
KeywordsSoil water retention dry lands western India pedotransfer functions soil moisture calculator
We express our sincere thanks to the Director, ICAR-CAZRI Jodhpur for providing necessary support to carry out the present study (CAZRI/T-04/31). The senior author (PS) also expresses his sincere thanks to the National Director, NAIP (ICAR), Director CAZRI and Dr P C Pande, Head of Division CAZRI for providing the opportunity for foreign training in Geoinformatics, and to Dr H M C van Holsteijn, Director a.i. of ISRIC–World Soil Information, The Netherlands, for hosting PS as a guest researcher working on ‘spatial assessment of soil properties using digital soil mapping techniques’ (Sept.–Dec. 2013). We thank the Editor and reviewers for their detailed and insightful comments that helped to improve the paper.
- Bhattacharya T, Sarkar D and Pal D K 2009 Soil Survey Manual, NBSS & LUP Publication No. 146, National Bureau of Soil Survey & Land Use Planning (Indian Council for Agricultural Research), Nagpur, India, 400p.Google Scholar
- Botula Y D, Nemes A, Mafuka P, Van Ranst E and Cornelis W M 2013 Prediction of water retention of soils from the humid tropics by the nonparametric-nearest neighbor approach; Vadose Zone J. 12(2) 1–17, https://doi.org/10.2136/vzj2012.0123.
- CAZRI 2008 Annual Report; Central Arid Zone Research Institute, Jodhpur, India.Google Scholar
- Chakraborty D, Mazumdar S P, Garg R N, Banerjee S, Santra P, Singh R and Tomar R K 2011 Pedotransfer functions for predicting points on the moisture retention curve of Indian soils; Indian J. Agric. Sci. 81(11) 1030.Google Scholar
- Gupta S C and Kapoor V K 2000 Fundamentals of mathematical statistics: A modern approach; Sultan Chand and Sons.Google Scholar
- Haghverdi A, Leib B G and Cornelis W M 2015 A simple nearest-neighbor technique to predict the soil water retention curve; Trans. ASABE 58(3) 697–705.Google Scholar
- Klute A 1986 Water retention: Laboratory methods; In: Methods of soil analysis. Part I: Physical and Mineralogical Methods. Agronomy Series 9, 2nd edn, American Society of Agronomy, Madison, WI, USA, pp. 635–662.Google Scholar
- Millennium Ecosystem Assessment 2005 Ecosystems and human well-being: Desertification synthesis; World Resources Institute, Washington, DC.Google Scholar
- Minasny B and McBratney A B 2002 The neuro-m method for fitting neural network parametric pedotransfer functions; Soil Sci. Soc. Am. J. 66 352–361.Google Scholar
- R Core Team 2013 R: A language and environment for statistical computing; R Foundation for Statistical Computing, Vienna, Austria, http://www.R-project.org/.
- Sarma V A K, Krishnan P and Budihal S L 1987 Soil resources mapping of different states in India: Laboratory manual; Technical Bulletin No. 14, National Bureau of Soil Survey & Land Use Planning (Indian Council for Agricultural Research), Nagpur, India, 49p.Google Scholar
- Sehgal J L, Saxena R K and Vadive1u S 1987 Soil resource mapping of different states in India: Field manual (2nd edn), Technical Bulletin No. 13, National Bureau of Soil Survey & Land Use Planning (Indian Council for Agricultural Research), Nagpur, India, 73p.Google Scholar
- Schewe J, Heinke J, Gerten D, Haddeland I, Arnell N W, Clark D B, Dankers R, Eisner S, Fekete B M, Colón-González F J, Gosling S N, Kim H, Liu X, Masaki Y, Portmann F T, Satoh Y, Stacke T, Tang Q, Wada Y, Wisser D, Albrecht T, Frieler K, Piontek F, Warszawski L and Kabat P 2013 Multimodel assessment of water scarcity under climate change; Proc. Natl. Acad. Sci., https://doi.org/10.1073/pnas.1222460110.
- Sharma J P, Giri J D, Shyampura R L and Gajbhiye K S 2006 Soil series of Gujarata; NBSS&LUP Publication No. 120, National Bureau of Soil Survey & Land Use Planning (Indian Council for Agricultural Research), Nagpur, India, 329p.Google Scholar
- Shwetha P, Varija K and Kumar P 2013 Study on soil moisture retention function for the Indian forested hillslope soils; J. GeoEng. 8(1) 11–18.Google Scholar
- Shyampura R L, Singh S K, Singh R S, Jain B L and Gajbhiye K S 2002 Soil series of Rajasthan; NBSS&LUP Publication No. 96, National Bureau of Soil Survey & Land Use Planning (Indian Council for Agricultural Research), Nagpur, India, 329p.Google Scholar
- Singh A K 2000 Use of pedotransfer functions in crop growth simulations; J. Water Manag. 8 18–21.Google Scholar
- Soil Survey Staff 1996 Soil survey laboratory methods manual. Soil Survey Investigations Report 42 (ver. 3), United States Department of Agriculture, Lincoln, NE, http://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/16/nrcs143_019356.pdf.
- Soil Survey Staff 2010 Keys to soil taxonomy, 11th edn, USDA-Natural Resources Conservation Service, Washington, DC, ftp://ftp-fc.sc.egov.usda.gov/NSSC/Soil_Taxonomy/keys/2010_Keys_to_Soil_Taxonomy.pdf.Google Scholar
- van Reeuwijk L P 2002 Procedures for soil analysis; 6th edn, Technical Paper 9, International Soil Reference Centre (ISRIC), Wageningen.Google Scholar
- http://ncsslabdatamart.sc.egov.usda.gov/ NCCS Soil Characterization Database.