Different Organic and Inorganic Sources of Plant Nutrients Influence Soil Health, Leading to Improve the Productivity and Profitability of a Fourteen‐Year Long‐Term Rice–Potato–Groundnut Cropping Pattern

This study aims to evaluate the impact of long‐term integrated nutrient management (INM) treatments on soil properties, crop productivity and the soil quality index (SQI) in scented rice–potato–groundnut cropping system. A comprehensive evaluation of soil quality indicators was carried out using four different SQI calculation methods: linear additive (SQI LA ), nonlinear additive (SQI NLA ), linear weighting (SQI LW ) and nonlinear weighting (SQI NLW ). Among all the treatments, the INM approach ( T 1 ), which combines 50% recommended NPK from inorganic fertilizer with 50% N from FYM, resulted in the maximum yield for all three crops. Within the organic nutrient management treatments ( T 2 – T 5 ), treatment T 5 , which involved 33% of the recommended nitrogen from various organic sources combined with beneficial microorganisms, showed significantly higher yield. Of the 17 soil quality attributes in the present study, soil organic C (SOC), available N, available S and total soil bacteria count were identified as the most sensitive indicators influencing soil quality. The plots treated solely with organic inputs with biofertilizers yielded the highest SQI values (SQI LA —4.01; SQI LW —0.71; SQI NLA —3.04; SQI NLW —0.51), closely followed by the INM‐treated plots (SQI LA —3.66; SQI LW —0.66; SQI NLA —2.82; SQI NLW —0.47), and both the treatments significantly outperformed other treatments. All four SQIs showed a high correlation with the system of rice equivalent yield (SREY) calculated from all three crops; however, there are significant differences. The weighted linear (SQI LW ) method proved to be the most sensitive and reliable method for modelling soil quality and predicting crop productivity. The exclusion of biofertilizers from different organic nutrient management options led to 13.36% decline in the SQI value, highlighting the critical role of biofertilizers in maintaining soil health in the scented rice–potato–groundnut system.

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Publication Details

Journal
Applied and Environmental Soil Science
Published
2025-01-01
DOI
https://doi.org/10.1155/aess/9943996
Citations
4
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
7.00
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article

Different Organic and Inorganic Sources of Plant Nutrients Influence Soil Health, Leading to Improve the Productivity and Profitability of a Fourteen‐Year Long‐Term Rice–Potato–Groundnut Cropping Pattern

Mohammad Javed Ansari, Sulaiman Ali Alharbi, Pulak Kumar Patra, Shubhadip Dasgupta et al.
4 citations
Applied and Environmental Soil Science
Rice Cultivation and Yield Improvement
7.00
article

Different Organic and Inorganic Sources of Plant Nutrients Influence Soil Health, Leading to Improve the Productivity and Profitability of a Fourteen‐Year Long‐Term Rice–Potato–Groundnut Cropping Pattern

Mohammad Javed Ansari, Sulaiman Ali Alharbi, Pulak Kumar Patra, Shubhadip Dasgupta, Ratneswar Poddar, Akbar Hossain, Sushanta Saha, Pinaki Bose, Kaushik Saha, Soumitra Chatterjee, Swapan Kumar Mukhopadhyay, Manabendra Ray, Arup Sen
article en
4 citations

Abstract

This study aims to evaluate the impact of long‐term integrated nutrient management (INM) treatments on soil properties, crop productivity and the soil quality index (SQI) in scented rice–potato–groundnut cropping system. A comprehensive evaluation of soil quality indicators was carried out using four different SQI calculation methods: linear additive (SQI LA ), nonlinear additive (SQI NLA ), linear weighting (SQI LW ) and nonlinear weighting (SQI NLW ). Among all the treatments, the INM approach ( T 1 ), which combines 50% recommended NPK from inorganic fertilizer with 50% N from FYM, resulted in the maximum yield for all three crops. Within the organic nutrient management treatments ( T 2 – T 5 ), treatment T 5 , which involved 33% of the recommended nitrogen from various organic sources combined with beneficial microorganisms, showed significantly higher yield. Of the 17 soil quality attributes in the present study, soil organic C (SOC), available N, available S and total soil bacteria count were identified as the most sensitive indicators influencing soil quality. The plots treated solely with organic inputs with biofertilizers yielded the highest SQI values (SQI LA —4.01; SQI LW —0.71; SQI NLA —3.04; SQI NLW —0.51), closely followed by the INM‐treated plots (SQI LA —3.66; SQI LW —0.66; SQI NLA —2.82; SQI NLW —0.47), and both the treatments significantly outperformed other treatments. All four SQIs showed a high correlation with the system of rice equivalent yield (SREY) calculated from all three crops; however, there are significant differences. The weighted linear (SQI LW ) method proved to be the most sensitive and reliable method for modelling soil quality and predicting crop productivity. The exclusion of biofertilizers from different organic nutrient management options led to 13.36% decline in the SQI value, highlighting the critical role of biofertilizers in maintaining soil health in the scented rice–potato–groundnut system.

Applied and Environmental Soil ScienceVol. 2025(1)
Bidhan Chandra Krishi Viswavidyalaya (IN), Visva-Bharati University (IN), M.J.P. Rohilkhand University (IN), King Saud University (SA), Bangladesh Wheat and Maize Research Institute (BD)
Openalex Percentile: Top 4%
Rice Cultivation and Yield Improvement
7.00
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