Applicability of Pedotransfer Models Between Yield Parameters and Some Soil Properties of Wheat Plant
The aim of this study is to set pedotransfer models based on correlation between yield parameters of wheat plants grown in Çarşamba Plain (plant height, thousand seed weight and grain yield) and some physical and chemical properties of soils, and to determine applicability of obtained models in esti...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Siirt University
2019-06-01
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Series: | Türkiye Tarımsal Araştırmalar Dergisi |
Subjects: | |
Online Access: | https://dergipark.org.tr/tutad/issue/44154/489733 |
Summary: | The aim of this study is to set pedotransfer models based on correlation between yield parameters of wheat plants grown in Çarşamba Plain (plant height, thousand seed weight and grain yield) and some physical and chemical properties of soils, and to determine applicability of obtained models in estimation of yield in plain soils. For this purpose, soil and plant samples were taken from the lands of the plain used by the farmers for wheat production. In the research area, 70% of the wheat plant height values were observed between 75 cm and 90 cm, the thousand grain weight values of 47.5% were between 50 g and 55 g, and the yield values of 47.5% were between 600-700 kg da-1. Pedotransfer model was statistically significant (p= 0.035) and regression coefficient was high (R= 0.731) between plant height and electrical conductivity (EC), Ca+Mg, bulk density (Db), Clay, (Db)2, (EC)2, (Clay)2, √(Ca+Mg) soil properties; high regression coefficient (R= 0.794) with a statistical significance level of p= 0.013 between 1000 grain weight and (EC)2, (OM)2, (Fe)2, (Clay)2, (Db)2, (Clay×Db), √Clay ,√Db wilting point (WP) parameters; and high regression coefficient with statistical significance (R= 0.840; p= 0.012) between grain yield and EC, CaCO3, sand, (Sand×Db), (Db×WP), Fe, N, (Db)2, WP, (EC)2, √Db parameters were determined. Regression coefficient (R), root mean square error (RMSE), index of agreement (𝑑), model efficiency (ME), mean of absolute error (MAE), mean bias error (MBE) and maximum relative error (MRE) were evaluated together to determine the validity of pedotransfer models between the yield components and physical-chemical properties of soils. It can be seen that the pedotransfer models obtained can be applied in the estimation of yield parameters of wheat plant grown in plain soils. |
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ISSN: | 2148-2306 2528-858X |