Optimizing tobacco quality and yield through the scientific application of organic-inorganic fertilizer in China: a meta-analysis
2024

Improving Tobacco Quality and Yield with Organic-Inorganic Fertilizer

Sample size: 632 publication 10 minutes Evidence: high

Author Information

Author(s): Zhu Ruixuan, He Shijie, Ling Huarong, Liang Yongjin, Wei Beilei, Yuan Xiaomai, Cheng Wuyang, Peng Bo, Xiao Jinglin, Wei Jianyu, He Yi, Xiao Heyou, Wang Ziting

Primary Institution: College of Agriculture, University of Guangxi, Nanning, China

Hypothesis

What is the effect of organic-inorganic fertilizer on the yield and quality of tobacco?

Conclusion

The application of organic-inorganic fertilizer significantly improved the quality of tobacco while also increasing its yield.

Supporting Evidence

  • The application of organic-inorganic fertilizer increased tobacco yield by 3.4%.
  • High-grade tobacco rates improved by 10.3% with fertilizer application.
  • Reducing sugar content in tobacco increased by 5.5% after using organic-inorganic fertilizer.
  • Nicotine content decreased by 5.6% with the application of organic-inorganic fertilizer.
  • Y85 and Y87 varieties showed the most significant yield increases of 5.59% and 5.82%, respectively.
  • Fertilizers with a low organic nitrogen ratio (15%-30%) were more effective for yield increase.
  • Fertilizers with a medium to high organic nitrogen ratio (50%-60%) improved chemical quality.

Takeaway

Using a mix of organic and inorganic fertilizers helps tobacco plants grow better and taste nicer.

Methodology

A meta-analysis of 169 studies was conducted to evaluate the effects of organic-inorganic fertilizer on tobacco yield and quality.

Potential Biases

Potential publication bias was assessed using Rosenthal’s fail-safe number.

Limitations

The study's findings may vary due to differences in climate, soil conditions, and management practices across different regions.

Participant Demographics

The studies included various tobacco varieties grown in different regions of China.

Statistical Information

P-Value

p<0.001

Confidence Interval

95% CI did not contain 0 for significant indicators.

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fpls.2024.1500544

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