Index for refining soil health assessment through multivariate approach under diverse agro-climatic zones in the Indo-Gangetic basin of Bihar

  • 0Department of Soil Science, Dr. Rajendra Prasad Central Agricultural University, Samastipur, Bihar 848125, India; International Rice Research Institute (IRRI)-South Asia Regional Centre (ISARC), Varanasi 221106, UP, India.

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Summary

This summary is machine-generated.

Developing a soil health index (SHI) is crucial for sustainable agriculture. This study quantified SHI in Bihar, India, revealing key indicators like soil organic carbon and pH for rice-wheat systems.

Area Of Science

  • Agricultural Science
  • Soil Science
  • Environmental Science

Background

  • Sustainable crop production requires reliable soil health assessment techniques.
  • Assessing soil health is complex due to dynamic indicator interactions across diverse agroecological contexts.
  • The Indo Gangetic basin faces challenges in maintaining soil health for vital crop systems.

Purpose Of The Study

  • To determine critical soil health variables for the rice-wheat cropping system.
  • To quantify a soil health index (SHI) across four agro-climatic zones (ACZs) in Bihar, India.
  • To validate the SHI against the productivity of the rice-wheat system.

Main Methods

  • Collected 400 soil samples (0-15 cm) from four agro-climatic zones (ACZs).
  • Analyzed 20 soil physical, chemical, and biological properties.
  • Employed Principal Component Analysis (PCA) to identify key soil health indicators and compute the SHI.

Main Results

  • Soil pH, soil organic carbon (SOC), available Zinc (Zn), and available water capacity (AWC) were identified as common indicators across ACZs.
  • Agro-climatic zone IIIB exhibited the highest SHI (0.19-0.70) within the rice-wheat system.
  • SHI in ACZ-IIIB was significantly influenced by SOC, available Phosphorus (P), clay content, pH, and soil respiration.
  • A strong correlation (R² = 0.79) was found between SHI and the rice-wheat system's productivity.

Conclusions

  • ACZ-specific SHIs are effective for evaluating and monitoring soil health.
  • The identified soil health variables accurately represent good soil health and system productivity.
  • This approach supports achieving the UN's Sustainable Development Goal of 'zero hunger'.

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