A PRELIMINARY STUDY ON EVALUATING HYDRAULIC PROPERTIES CALCULATOR TO PREDICT SOIL AVAILABLE WATER OF SELECTED TROPICAL MONSOON SOIL, INDONESIA

Background: Hydraulic properties calculator had been employed by many researchers worldwide, as it is simplified soil water properties prediction by resulting a model. However, the model was formulated by investigating soil samples from all over the USA, which are not similar with Indonesian soil du...

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Detalles Bibliográficos
Autores: Komariah, Komariah, Sakti, Muhammad Bima Gegana, Ariyanto, Dwi Priyo, Sumani, Sumani, Priswita, Rahajeng Putu Widiani
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:México
Institución:UNIVERSIDAD AUTÓNOMA DE YUCATÁN
Repositorio:Tropical and Subtropical Agroecosystems
Idioma:inglés
OAI Identifier:oai:ojs.www.revista.ccba.uady.mx:article/3572
Acceso en línea:https://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3572
Access Level:acceso abierto
Palabra clave:soil texture; soil type; gravimetric soil moisture; multiple linier regression, soil properties
textura del suelo; tipo de suelo; humedad gravimétrica del suelo; regresión lineal múltiple; propiedades del suelo.
Descripción
Sumario:Background: Hydraulic properties calculator had been employed by many researchers worldwide, as it is simplified soil water properties prediction by resulting a model. However, the model was formulated by investigating soil samples from all over the USA, which are not similar with Indonesian soil due to different climatic zone. Objective: To evaluate the accuracy of Hydraulic Properties Calculator for Indonesian soil, which is categorized developed under the tropical monsoon climate. Methodology: Undisturbed soil samples were collected from 36 land units of 4 soil types surrounding Karanganyar Regency, Indonesia. Soil properties data included soil permeability, pH (soil reaction), pF, organic matter, particle density, bulk density, porosity, and texture were analyzed using Pearson’s correlation, regression analysis, multiple linear regression, and pair T-Test (α=0.05). Results: The results showed the coefficient of determination (R2) of soil available water using laboratory analysis and hydraulic properties calculator was 0.959, but paired t-test resulted P<0.01. This means despite high value of R2, both methods produced different soil available water results. Implications: Further study is required to formulate new model is to predict soil available water of Indonesian soil. Conclusion: The hydraulic properties calculator is less accurate to predict soil Available Water (AW) of selected Indonesian soil.