Modelling Yield and Seasonal Soil Salinity Dynamics in Rice-Grasspea Cropping System for the Coastal Saline Zone of West Bengal, India

Due to seasonal dry-season salt accumulation in the coastal saline zone (CSZ) of West Bengal, India, the cultivation of winter crops (following summer rice) is rare. To address this issue, field experiments were conducted over two years (2016–18) in the CSZ to study the feasibility of cropping syste...

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Main Authors: Sukamal Sarkar, Donald S Gaydon, Koushik Brahmachari, Manoj Kumar Nanda, Argha Ghosh, Mohammed Mainuddin
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Proceedings
Subjects:
Online Access:https://www.mdpi.com/2504-3900/36/1/146
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spelling doaj-7ee4cd0c7ab44765a903eae6a16095172020-11-25T02:33:48ZengMDPI AGProceedings2504-39002019-04-013614614610.3390/proceedings2019036146Modelling Yield and Seasonal Soil Salinity Dynamics in Rice-Grasspea Cropping System for the Coastal Saline Zone of West Bengal, IndiaSukamal Sarkar0Donald S Gaydon1Koushik Brahmachari2Manoj Kumar Nanda3Argha Ghosh4Mohammed Mainuddin5Department of Agronomy, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur 741252, IndiaCSIRO Agriculture and Food, Brisbane 4067, AustraliaDepartment of Agronomy, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur 741252, IndiaBidhan Chandra Krishi Viswavidyalaya, Department of Agricultural Meteorology and Physics, Mohanpur 741252, IndiaBidhan Chandra Krishi Viswavidyalaya, Department of Agricultural Meteorology and Physics, Mohanpur 741252, IndiaCSIRO Land and Water, Canberra 2601, AustraliaDue to seasonal dry-season salt accumulation in the coastal saline zone (CSZ) of West Bengal, India, the cultivation of winter crops (following summer rice) is rare. To address this issue, field experiments were conducted over two years (2016–18) in the CSZ to study the feasibility of cropping system intensification through incorporating grass pea into the dominant rice-fallow rotation. The experiment was conducted in strip plot design with two factors namely, Factor A: Six dates of rice sowing (at one-week intervals—2nd week of June to 3rd week of July) and Factor B: Two land situations (Medium-upland and Medium-lowland). The experiment was simulated using APSIM (Agricultural Production Systems sIMulator) utilizing the APSIM-SWIM water balance module to understand the mechanisms of seasonal soil salinity dynamics and the associated crop responses. The results suggest that irrespective of land situation, early sown rice (2nd week of June) produces higher dry matter and yield compared to late sown crops. This early rice sowing also facilitated better subsequent grass pea performance, by avoiding the worst of the salinity build-up and drought stress later in the winter. The model performed well in simulating the observed rice and grass pea yields (R<sup>2 </sup>= 0.97 with low bias (slope, α = 0.93, intercept, β = 149 kg ha<sup>−1</sup>), RMSE = 558 kg ha<sup>−1</sup>). It may be concluded that ASPIM-SWIM is an effective tool to understand, assess and predict the complex bio-physical mechanisms of ground water and soil salinity dynamics in rice-pulse-based cropping systems of CSZ of West Bengal.https://www.mdpi.com/2504-3900/36/1/146APSIMSWIMSalinity DynamicsCoastal SalinePulsesCropping System
collection DOAJ
language English
format Article
sources DOAJ
author Sukamal Sarkar
Donald S Gaydon
Koushik Brahmachari
Manoj Kumar Nanda
Argha Ghosh
Mohammed Mainuddin
spellingShingle Sukamal Sarkar
Donald S Gaydon
Koushik Brahmachari
Manoj Kumar Nanda
Argha Ghosh
Mohammed Mainuddin
Modelling Yield and Seasonal Soil Salinity Dynamics in Rice-Grasspea Cropping System for the Coastal Saline Zone of West Bengal, India
Proceedings
APSIM
SWIM
Salinity Dynamics
Coastal Saline
Pulses
Cropping System
author_facet Sukamal Sarkar
Donald S Gaydon
Koushik Brahmachari
Manoj Kumar Nanda
Argha Ghosh
Mohammed Mainuddin
author_sort Sukamal Sarkar
title Modelling Yield and Seasonal Soil Salinity Dynamics in Rice-Grasspea Cropping System for the Coastal Saline Zone of West Bengal, India
title_short Modelling Yield and Seasonal Soil Salinity Dynamics in Rice-Grasspea Cropping System for the Coastal Saline Zone of West Bengal, India
title_full Modelling Yield and Seasonal Soil Salinity Dynamics in Rice-Grasspea Cropping System for the Coastal Saline Zone of West Bengal, India
title_fullStr Modelling Yield and Seasonal Soil Salinity Dynamics in Rice-Grasspea Cropping System for the Coastal Saline Zone of West Bengal, India
title_full_unstemmed Modelling Yield and Seasonal Soil Salinity Dynamics in Rice-Grasspea Cropping System for the Coastal Saline Zone of West Bengal, India
title_sort modelling yield and seasonal soil salinity dynamics in rice-grasspea cropping system for the coastal saline zone of west bengal, india
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2019-04-01
description Due to seasonal dry-season salt accumulation in the coastal saline zone (CSZ) of West Bengal, India, the cultivation of winter crops (following summer rice) is rare. To address this issue, field experiments were conducted over two years (2016–18) in the CSZ to study the feasibility of cropping system intensification through incorporating grass pea into the dominant rice-fallow rotation. The experiment was conducted in strip plot design with two factors namely, Factor A: Six dates of rice sowing (at one-week intervals—2nd week of June to 3rd week of July) and Factor B: Two land situations (Medium-upland and Medium-lowland). The experiment was simulated using APSIM (Agricultural Production Systems sIMulator) utilizing the APSIM-SWIM water balance module to understand the mechanisms of seasonal soil salinity dynamics and the associated crop responses. The results suggest that irrespective of land situation, early sown rice (2nd week of June) produces higher dry matter and yield compared to late sown crops. This early rice sowing also facilitated better subsequent grass pea performance, by avoiding the worst of the salinity build-up and drought stress later in the winter. The model performed well in simulating the observed rice and grass pea yields (R<sup>2 </sup>= 0.97 with low bias (slope, α = 0.93, intercept, β = 149 kg ha<sup>−1</sup>), RMSE = 558 kg ha<sup>−1</sup>). It may be concluded that ASPIM-SWIM is an effective tool to understand, assess and predict the complex bio-physical mechanisms of ground water and soil salinity dynamics in rice-pulse-based cropping systems of CSZ of West Bengal.
topic APSIM
SWIM
Salinity Dynamics
Coastal Saline
Pulses
Cropping System
url https://www.mdpi.com/2504-3900/36/1/146
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