Pedotransfer Functions for Estimation of Soil Moisture Constants from Penetration Resistance Measurements and Some Soil Properties

Studies to prediction of soil moisture constants and other soil properties rather than direct measurements were never dwindle importance. Models were derived from other soil properties obtained easily. Therefore, in this study focused on the predictability of some moisture constants, whose determination was often difficult and time-consuming, from penetration resistance measurements. In the improvement of alternative models for the estimation of moisture constants; in addition to penetration resistance, textural fractions (sand, clay and silt), bulk density, CaCO3 % and organic matter contents were included. The models were created according to soil groups with different textures (sandy, loamy, clay) for moisture constants at 0.1, 0.33, 0.5 and 15 bar. In the models for estimation of 0.1, 0.33, 0.5 and 15 bar moisture content, the highest differences in R2 values (0.61, 0.60, 0.64 and 0.59) between the actual and the predicted data was obtained for loamy soils. For this group, the root means square error (RMSE) ranged between 1.32 and 1.90 %, and in addition, the mean error (ME) was determined to be in a range from 1.53 to 2.05 %. For the estimation of moisture content at different soil moisture tensions using organic matter, bulk density, clay and penetration resistance properties, the coefficient of determination ranged from 71 to 77 %. Therefore, it is concluded that the alternative models, developed using penetration resistance or by the addition of some other soil properties, could be used safely in the loamy texture soils.

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Abdelbaki A M (2018). Evaluation of pedotransfer functions for predicting soil bulk density for US soils. Ain Shams Engineering Journal 9(4): 1611-1619 https://doi.org/10.1016/j.asej.2016.12.002
Bahtiyar M (1978). Soil water, water retention in the soil and moisture tension. Atatürk University Journal of Agricultural Faculty 9(4): 105- 119 (In Turkish)
Busscher W J (1990). Adjustment of flat- tipped penetrometer resistance data to a common water content. Retrieved in March, 12, 2018 from http://naldc. nal.usda. gov/download/ 18014/PDF https://doi.org/10.13031/2013.31360
Cemek B, Meral R, Apan M & Merdun H (2004). Pedotransfer function fort the estimation of the field capacity and permanent wilting point. Pakistan Journal of Biological Science 7(4): 535-541 https://doi.org/10.3923/pjbs.2004.535.541
Demiralay M (1993). Soil Physical Analysis. Atatürk University Faculty of Agriculture Publications, No: 143 Turkey (In Turkish)
Esmaeelnejad L, Ramezanpour H, Seyedmohammadi J & Shabanpour M (2015). Selection of a suitable model for the prediction of soil water content in north of Iran. Spanish Journal of Agricultural Research 13(1):1202 https://doi.org/10.5424/sjar/2015131-6111
Gülser C (2004). Determination of field capacity and permanent wilting point with pedotransfer functions related to soil physical and chemical properties. Journal of Faculty of Agriculture Ondokuz Mayıs University 19(3): 19-23 (in Turkish with an abstract in English)
Kacar B (2009). Soil Analysis. Nobel Publication No: 1387 Ankara (In Turkish)
Keshavarzi A, Sarmadian F, Sadeghnejad M & Pezeshki P (2010). Developing pedotransfer functions for estimating some soil properties using artificial neural network and multivariate regression approaches. Proenvironment Promediu 3: 322-330
Minasny B (2009) Prediction of the water content at field capacity from disturbed soil samples. Retrieved in May, 12, 2017 from http://soilresearch.com/sr/wpcontent/uploads/2010/05/fieldcapacity_ disturbed_ samples .pdf
Mohanty M, Sınha N K, Painuli D K, Bandyopadhyay K K, Hatı K, Reddy K S & Chaudhary R S (2014). Pedotransfer functions for estimating water content at field capacity and wilting point of Indian soils using particle size distribution and bulk density. Journal of Agricultural Physics 14(1): 1-9
Mohanty M, Nishan K, Sinha D K, Painuli K K, Bandyopadhyay K M, Hati K & Sammi Reddy Chaudhary R S (2015). Modelling soil water contents at field capacity and permanent wilting point using artificial neural network for Indian soils. National Academy Science Letter 38(5): 373-377 https://doi.org/10.1007/s40009-015-0358-4
Mohawesh O E (2013). Assessment of pedotransfer functions (ptfs) in predicting soil hydraulic properties under arid and semi arid environments. Jordan Journal of Agricultural Sciences 9(4): 475-491
Negiş H, Şeker C, Gümüş İ, Özaytekin H H, Atmaca E & Karaca Ü (2016). Determination of penetration resistance in sugar beet farming. Nevsehir Journal of Science and Technology pp. 272-279 (in Turkish with an abstract in English)
Pan W, Boyles R P, White J G & Heitman J L (2012) Characterizing soil physical properties for soil moisture monitoring with the north carolina environment and climate observing network. Journal of Atmospheric and Oceanic Technology 29(7): 933-943 https://doi.org/10.1175/jtech-d-11-00104.1
Qiao J, Zhu Y, Jia X, Huang L & Shao M A (2019) Pedotransfer functions for estimating the field capacity and permanent wilting point in the critical zone of the Loess Plateau, China. Journal of Soils and Sediments 19(1):140-147 https://doi.org/10.1007/s11368-018-2036-x
Santra P, Kumar M, Kumawat R N, Painuli D K, Hati K M, Heuvelink G B M & Batjes N H (2018) Pedotransfer functions to estimate soil water content at field capacity and permanent wilting point in hot Arid Western India. Journal of Earth System Science 127(3): 1-16 https://doi.org/10.1007/s12040-018-0937-0
Silva E D, Curi N, Ferreira M M, Volpato M M L, Santos W J R D & Silva S H G (2015). Pedotransfer functions for water retention in the main soils from the Brazilian coastal plains. Ciência e Agrotecnologia 39(4): 331-338 https://doi.org/10.1590/s1413- 70542015000400003
Soil Survey Manual (1993). Soil survey division staff, United States department of agriculture Şeker C (1997). The effect of water content on the penetration resistance of different soils, and regression models. Turkish Journal of Agriculture and Forestry 23(2): 467-471 (in Turkish with an abstract in English)
Touil S, Degre A & Chabaca M N (2016). Sensitivity analysis of point and parametric pedotransfer functions for estimating water retention of soils in Algeria. Soil 2(4):647 https://doi.org/10.5194/soil-2-647-2016
Turgut B, Aksakal E L, Öztaş T & Babagil G E (2008). Defining partial effect coefficients of soil properties affecting on soil penetration resistanceusing multiple regression analysis. Journal of Faculty of Agriculture Atatürk University 39(1): 115-121 (in Turkish with an abstract in English)
Turgut B, Öztaş T & Aksakal E L (2010). Defining direct and indirect effect of some soil properties on soil penetration resistance. Journal of the Faculty of Agriculture Süleyman Demirel University 5(2): 45-53 (in Turkish with an abstract in English)
U.S Salinity Laboratory Staff (1954). Diagnosis and Improvement of Salina and Alkali Soils. Agricultural Handbook 60, USDA
Yılmaz E, Alagöz Z & Öktüren F (2005). Aggregate formation and stability in soil. Selcuk Journal of Agriculture and Food Sciences 19(36): 78-86
Yılmaz E & Alagöz Z (2008). Relation between soil water and organic matter. Turkish Journal of Scientific Reviews 1(2): 15-21
Zibilske L M & Bradford J M (2007). Soil aggregation, aggregate carbon and nitrogen, and moisture retention induced by conservation tillage. Soil Science Society of America Journal 71(3): 793-802 https://doi.org/10.2136/sssaj2006.0217