Harnessing the power of soil microbes: Their dual impact in integrated nutrient management and mediating climate stress for sustainable rice crop production
2024

Soil Microbes and Sustainable Rice Production

Sample size: 116 publication 10 minutes Evidence: high

Author Information

Author(s): Said H. Marzouk, Kwaslema Damiano R., Omar Mohd M., Mohamed Said H.

Primary Institution: Ministry of Education and vocational training, Zanzibar, Tanzania

Hypothesis

Integrated nutrient management (INM) acts as a source of energy for microbes and improves soil properties, but the understanding of soil microbiomes' interactions in INM is limited.

Conclusion

The study suggests that optimizing microbial communities through INM can enhance rice yield and mitigate climate stress.

Supporting Evidence

  • INM practices significantly enhance soil microbial health in paddy systems.
  • Microbial communities improve nutrient cycling and plant growth.
  • INM reduces reliance on chemical fertilizers and mitigates climate stress.
  • Studies show INM increases rice grain yield and nutrient uptake.
  • Microbes play a crucial role in alleviating abiotic stress in rice crops.
  • Long-term INM practices improve soil health and crop productivity.
  • Research gaps exist in understanding INM's effects on soil microbial diversity.
  • INM enhances resilience of paddy production systems to climate stresses.

Takeaway

Using good soil microbes can help rice plants grow better and deal with climate changes, making farming more sustainable.

Methodology

A systematic literature search was conducted through PRISMA from four databases to outline impacts of microbes in INM practices for mediating climate stress in paddy production systems.

Potential Biases

Limited studies on the effects of INM on soil microbial properties in regions outside of Asia.

Limitations

Adoption of INM technology is limited due to lack of knowledge and unavailability of organic materials.

Participant Demographics

Studies primarily conducted in Asian countries, particularly India and China.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1016/j.heliyon.2024.e41158

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