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<p>The current study aims to identify the most suitable adaptation strategies for soybean that effectively mitigate climate hazard effects without impacting yield, using a combination of systematic literature review (SLR) and meta-analysis following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework.&#xa0;The SLR systematically identified, evaluated, and synthesized relevant peer-reviewed studies that assessed the impacts of climate hazards and adaptation strategies on soybean yield. A meta-analysis was performed on the collated and screened 52 peer reviewed papers published between 1980 and 2024 to quantitatively summarize the yield response of soybean to multiple climate hazards. The analysis compared the yield impacts of various adaptation strategies against conventional or farmers’ standard practices. Intercropping performed significantly better (105.20% yield increase) under drought conditions, followed by drought tolerant genotypes (46.96%) compared to other adaptation strategies. Intercropping had a positive impact in mitigating waterlogging, with a yield increase of 138.69% followed by the interactive effect of stage and duration of waterlogging (90.97%), over other conventional practices. Under high temperature stress, ridge and furrow sowing followed by tolerant varieties increased the yield by 27.75% and 17.91%, respectively, compared to the control. In degraded soils, salt tolerant genotypes performed significantly better and improved soybean yield by 54.72%, followed by nutrient management (22.92% yield increase). Elevated temperature and elevated CO<sub>2</sub> (ETEC) followed by tillage positively influenced soybean yield, increasing it by 38.78% and 24.92%, respectively.&#xa0;The present study establishes that meta-analysis can serve as an effective tool for identifying high impact hazards and determining the most suitable adaptation options in climate change studies.</p>

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Climate Hazard Linked Adaptation Options for Soybean in South Asian Region – A Meta-Analysis

  • 期刊论文

  • 发表日期：

    2026年1月26日

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  • Boopathi Gopalakrishnan,
  • Eshwarayya Bhavani,
  • Venugopalan Visha Kumari,
  • Niveta Jain,
  • Nobin Chandra Paul,
  • Aniket Deo,
  • Roshan Babu Ojha,
  • Chitiprolu Anantha Ramarao,
  • Pramod Kumar Aggarwal

摘要

The current study aims to identify the most suitable adaptation strategies for soybean that effectively mitigate climate hazard effects without impacting yield, using a combination of systematic literature review (SLR) and meta-analysis following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework. The SLR systematically identified, evaluated, and synthesized relevant peer-reviewed studies that assessed the impacts of climate hazards and adaptation strategies on soybean yield. A meta-analysis was performed on the collated and screened 52 peer reviewed papers published between 1980 and 2024 to quantitatively summarize the yield response of soybean to multiple climate hazards. The analysis compared the yield impacts of various adaptation strategies against conventional or farmers’ standard practices. Intercropping performed significantly better (105.20% yield increase) under drought conditions, followed by drought tolerant genotypes (46.96%) compared to other adaptation strategies. Intercropping had a positive impact in mitigating waterlogging, with a yield increase of 138.69% followed by the interactive effect of stage and duration of waterlogging (90.97%), over other conventional practices. Under high temperature stress, ridge and furrow sowing followed by tolerant varieties increased the yield by 27.75% and 17.91%, respectively, compared to the control. In degraded soils, salt tolerant genotypes performed significantly better and improved soybean yield by 54.72%, followed by nutrient management (22.92% yield increase). Elevated temperature and elevated CO2 (ETEC) followed by tillage positively influenced soybean yield, increasing it by 38.78% and 24.92%, respectively. The present study establishes that meta-analysis can serve as an effective tool for identifying high impact hazards and determining the most suitable adaptation options in climate change studies.