Determination of Irrigation Scheduling Based on the Most Suitable Irrigation  Water Level in Strawberry with HYDRUS-2D Model

Begüm Polat; Eser Çeliktopuz; Dursun Büyüktaş

Makale detayları

Determination of Irrigation Scheduling Based on the Most Suitable Irrigation Water Level in Strawberry with HYDRUS-2D Model

Yazarlar:

Begüm Polat | Eser Çeliktopuz | Dursun Büyüktaş

Yayıncı:

Ankara University

Ana Başlıklar:

Irrigation Systems

Dergi:

Journal of Agricultural Sciences Vol.31 Issue 4, pp.892-903

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001359351

pISSN:

1300-7580

Anahtar kelimeler:

Özet:

 In recent years, the use of mulch in drip-irrigated strawberry cultivation has increased. Since there is no water loss through evaporation on the soil surface in mulch application, its use with drip irrigation method is seen as an important opportunity for the efficient use of water resources. This study aimed to determine the irrigation level that enhances water savings using the HYDRUS-2D model, based on irrigation scheduling previously implemented under real conditions. The field study was conducted in Adana during the 20152016 and 20162017 growing seasons. Irrigation applications were based on a three-day evaporation from a Class A pan, with the full irrigation treatment R100 calculated accordingly. Different irrigation levels were obtained by multiplying this duration by 0.75 R75 and 0.50 R50. During the first-year calibration phase, soil properties, measured irrigation water amount, and transpiration values were defined as inputs to the model for R100, and volumetric water content was estimated for 0-30 cm soil depth. The measured and predicted water contents for R100 were compared and soil shape parameters were determined according to statistical parameters. In the second-year validation phase, treatment-specific transpiration and irrigation amounts were input into the model, and simulations were generated using shape parameters determined in the calibration. Then, the measured and estimated water content at 0-30 cm depth were compared. In the calibration phase, R², RMSE, and MAE were 0.94, 0.06, and 0.05 cm³ cm-³, respectively. In the validation phase, these values ranged from 0.75 to 0.92, 0.01 to 0.05 cm³ cm-³, and 0.01 to 0.05 cm³ cm-³, respectively. The results indicate that the HYDRUS-2D model can predict soil water content with high accuracy in drip irrigation under mulch application in strawberry cultivation. Among the evaluated scenarios, an irrigation level of 0.70 times the full irrigation duration based on 3-day evaporation is recommended for future studies.

 In recent years, the use of mulch in drip-irrigated strawberry cultivation has increased. Since there is no water loss through evaporation on the soil surface in mulch application, its use with drip irrigation method is seen as an important opportunity for the efficient use of water resources. This study aimed to determine the irrigation level that enhances water savings using the HYDRUS-2D model, based on irrigation scheduling previously implemented under real conditions. The field study was conducted in Adana during the 20152016 and 20162017 growing seasons. Irrigation applications were based on a three-day evaporation from a Class A pan, with the full irrigation treatment R100 calculated accordingly. Different irrigation levels were obtained by multiplying this duration by 0.75 R75 and 0.50 R50. During the first-year calibration phase, soil properties, measured irrigation water amount, and transpiration values were defined as inputs to the model for R100, and volumetric water content was estimated for 0-30 cm soil depth. The measured and predicted water contents for R100 were compared and soil shape parameters were determined according to statistical parameters. In the second-year validation phase, treatment-specific transpiration and irrigation amounts were input into the model, and simulations were generated using shape parameters determined in the calibration. Then, the measured and estimated water content at 0-30 cm depth were compared. In the calibration phase, R², RMSE, and MAE were 0.94, 0.06, and 0.05 cm³ cm-³, respectively. In the validation phase, these values ranged from 0.75 to 0.92, 0.01 to 0.05 cm³ cm-³, and 0.01 to 0.05 cm³ cm-³, respectively. The results indicate that the HYDRUS-2D model can predict soil water content with high accuracy in drip irrigation under mulch application in strawberry cultivation. Among the evaluated scenarios, an irrigation level of 0.70 times the full irrigation duration based on 3-day evaporation is recommended for future studies.

 In recent years, the use of mulch in drip-irrigated strawberry cultivation has increased. Since there is no water loss through evaporation on the soil surface in mulch application, its use with drip irrigation method is seen as an important opportunity for the efficient use of water resources. This study aimed to determine the irrigation level that enhances water savings using the HYDRUS-2D model, based on irrigation scheduling previously implemented under real conditions. The field study was conducted in Adana during the 20152016 and 20162017 growing seasons. Irrigation applications were based on a three-day evaporation from a Class A pan, with the full irrigation treatment R100 calculated accordingly. Different irrigation levels were obtained by multiplying this duration by 0.75 R75 and 0.50 R50. During the first-year calibration phase, soil properties, measured irrigation water amount, and transpiration values were defined as inputs to the model for R100, and volumetric water content was estimated for 0-30 cm soil depth. The measured and predicted water contents for R100 were compared and soil shape parameters were determined according to statistical parameters. In the second-year validation phase, treatment-specific transpiration and irrigation amounts were input into the model, and simulations were generated using shape parameters determined in the calibration. Then, the measured and estimated water content at 0-30 cm depth were compared. In the calibration phase, R², RMSE, and MAE were 0.94, 0.06, and 0.05 cm³ cm-³, respectively. In the validation phase, these values ranged from 0.75 to 0.92, 0.01 to 0.05 cm³ cm-³, and 0.01 to 0.05 cm³ cm-³, respectively. The results indicate that the HYDRUS-2D model can predict soil water content with high accuracy in drip irrigation under mulch application in strawberry cultivation. Among the evaluated scenarios, an irrigation level of 0.70 times the full irrigation duration based on 3-day evaporation is recommended for future studies.

 In recent years, the use of mulch in drip-irrigated strawberry cultivation has increased. Since there is no water loss through evaporation on the soil surface in mulch application, its use with drip irrigation method is seen as an important opportunity for the efficient use of water resources. This study aimed to determine the irrigation level that enhances water savings using the HYDRUS-2D model, based on irrigation scheduling previously implemented under real conditions. The field study was conducted in Adana during the 20152016 and 20162017 growing seasons. Irrigation applications were based on a three-day evaporation from a Class A pan, with the full irrigation treatment R100 calculated accordingly. Different irrigation levels were obtained by multiplying this duration by 0.75 R75 and 0.50 R50. During the first-year calibration phase, soil properties, measured irrigation water amount, and transpiration values were defined as inputs to the model for R100, and volumetric water content was estimated for 0-30 cm soil depth. The measured and predicted water contents for R100 were compared and soil shape parameters were determined according to statistical parameters. In the second-year validation phase, treatment-specific transpiration and irrigation amounts were input into the model, and simulations were generated using shape parameters determined in the calibration. Then, the measured and estimated water content at 0-30 cm depth were compared. In the calibration phase, R², RMSE, and MAE were 0.94, 0.06, and 0.05 cm³ cm-³, respectively. In the validation phase, these values ranged from 0.75 to 0.92, 0.01 to 0.05 cm³ cm-³, and 0.01 to 0.05 cm³ cm-³, respectively. The results indicate that the HYDRUS-2D model can predict soil water content with high accuracy in drip irrigation under mulch application in strawberry cultivation. Among the evaluated scenarios, an irrigation level of 0.70 times the full irrigation duration based on 3-day evaporation is recommended for future studies.

Makale detayları

Determination of Irrigation Scheduling Based on the Most Suitable Irrigation Water Level in Strawberry with HYDRUS-2D Model

Yazarlar:

Begüm Polat | Eser Çeliktopuz | Dursun Büyüktaş

Yayıncı:

Ankara University

Ana Başlıklar:

Irrigation Systems

Dergi:

Journal of Agricultural Sciences Vol.31 Issue 4, pp.892-903

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001359351

pISSN:

1300-7580

Drip irrigation

Simulation modelling

Soil moisture distribution

Deficit irrigation

Soil moisture

Sayı

Makale detayları

Determination of Irrigation Scheduling Based on the Most Suitable Irrigation Water Level in Strawberry with HYDRUS-2D Model

Yazarlar: Begüm Polat | Eser Çeliktopuz | Dursun Büyüktaş

Yayıncı: Ankara University

Ana Başlıklar: Irrigation Systems

Dergi: Journal of Agricultural Sciences Vol.31 Issue 4, pp.892-903

Belge Tipi: Makale

Yayın Tarihi: 9/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001359351

pISSN: 1300-7580

Drip irrigation

Simulation modelling

Soil moisture distribution

Deficit irrigation

Soil moisture

Sayı

Yazarlar:

Begüm Polat | Eser Çeliktopuz | Dursun Büyüktaş

Yayıncı:

Ankara University

Ana Başlıklar:

Irrigation Systems

Dergi:

Journal of Agricultural Sciences Vol.31 Issue 4, pp.892-903

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001359351

pISSN:

1300-7580