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

Year 2021, Volume 27, Issue 2, 138 - 145, 04.06.2021

Pelin ALABOZ Ahmet Ali IŞILDAR

https://doi.org/10.15832/ankutbd.627938

Abstract

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. 

Keywords

Penetration resistance, moisture constants, pedotransfer functions, Soil physics

References

• Abdelbaki A M (2016). Evaluation of pedotransfer functions for predicting soil bulk density for US soils. Ain Shams Engineering Journal 9(4): 1611-1619
• Bahtiyar M (1978). Toprak suyu, toprakta su tutulması ve rutubet tansiyonu. Atatürk Üniversitesi Ziraat Fakültesi Dergisi 9(4): 105-119
• 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
• Cemek B, Meral R, Apan M & Merdum H (2004). Pedotransfer funtion fort the estimation of the field capacity and permanent wilting point. Pakistan Journal of Biological Science, 7(4): 535-541
• Demiralay M (1993). Toprak Fiziksel Analizleri. Atatürk Üniversitesi Ziraat Fakültesi Yayınları, Turkey
• 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
• Gülser C (2004). Determination of field capacity and permenant 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). Toprak Analizleri. Nobel Yayın Dağıtım, Ankara
• 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://soil-research.com/ sr/wpcontent/uploads/2010/05/fieldcapa city_ 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
• 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 272-279
• 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
• 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
• Soil Survey Laboratory Methods Manual (1996). Soil survey ınvestigations Report No. 42. Version 3.0. USDA-NRCS. Lincoln NE
• 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
• 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
• 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
• 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 Üniversity 5(2): 45-53
• U.S Salinity Laboratory Staff (1954). Diagnosis and improvement of salina and alkali soils. Agricultural Handbook 60, U.S.D.A.
• Yılmaz E & Alagöz Z. (2008) Relation between soil water and organic matter. Turkish Journal of Scientific Reviews 1(2): 15-21