Organic fertilization selectively alters rice grain quality without a consistent yield gain: a multilevel meta-analysis in China

Reducing synthetic-fertilizer use without sacrificing rice yield or grain quality remains difficult because quality traits may respond differently. We conducted a systematic review and multilevel meta-analysis of field experiments in China. Eligible studies compared organic fertilizer alone or combined with reduced synthetic fertilizer against a synthetic-fertilizer-only control. After excluding 13 effects with ineligible comparators, the dataset contained 420 treatment-control effects from 40 studies. Outcomes comprised yield and 10 grain-quality traits. We analyzed original-direction log response ratios (lnRR) with trait-specific multilevel random-effects models. We used experiment-clustered CR2 variance estimates and Satterthwaite inference. Prespecified moderators were soil organic matter, total nitrogen, available phosphorus, and nitrogen substitution rate. We controlled the within-trait false discovery rate. The pooled yield association was -0.52% with a 95% confidence interval from -6.25% to 5.57%. This interval did not establish equivalence or assured yield maintenance. Head rice rate increased by 2.05% with a 95% confidence interval from 0.28% to 3.86% and a nominal P value of 0.025. Rapid Visco Analyzer (RVA) breakdown increased by 6.70% with a 95% confidence interval from 0.79% to 12.96% and a nominal P value of 0.030. Prediction intervals for both outcomes crossed zero. Confidence intervals for the other eight quality traits also included zero. No moderator association remained significant after false-discovery-rate control. However, the yield association with substitution rate had an adjusted P value of 0.071 and remained exploratory. Removing ineligible comparators did not reverse any pooled direction, but it changed the magnitude or heterogeneity of setback, chalkiness, and breakdown. Organic-fertilizer substitution showed trait-specific associations rather than uniform benefits. The evidence applies to the included Chinese field studies. It does not establish causal mechanisms, overall quality improvement, or assured yield maintenance.

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Publication Details

Journal
Frontiers in Soil Science
Published
2026-11-09
DOI
https://doi.org/10.3389/fsoil.2026.2010270
Primary Topic
Agricultural Science and Fertilization
Type
article
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article

Organic fertilization selectively alters rice grain quality without a consistent yield gain: a multilevel meta-analysis in China

LU Changying, Linlin Dong, Linlin Shi, Yuan Shen et al.
Frontiers in Soil Science
Agricultural Science and Fertilization
article

Organic fertilization selectively alters rice grain quality without a consistent yield gain: a multilevel meta-analysis in China

LU Changying, Linlin Dong, Linlin Shi, Yuan Shen, Haihou Wang, Xiaohua Song, Linlin Le, Qiuyuan Liu
article en

Abstract

Reducing synthetic-fertilizer use without sacrificing rice yield or grain quality remains difficult because quality traits may respond differently. We conducted a systematic review and multilevel meta-analysis of field experiments in China. Eligible studies compared organic fertilizer alone or combined with reduced synthetic fertilizer against a synthetic-fertilizer-only control. After excluding 13 effects with ineligible comparators, the dataset contained 420 treatment-control effects from 40 studies. Outcomes comprised yield and 10 grain-quality traits. We analyzed original-direction log response ratios (lnRR) with trait-specific multilevel random-effects models. We used experiment-clustered CR2 variance estimates and Satterthwaite inference. Prespecified moderators were soil organic matter, total nitrogen, available phosphorus, and nitrogen substitution rate. We controlled the within-trait false discovery rate. The pooled yield association was -0.52% with a 95% confidence interval from -6.25% to 5.57%. This interval did not establish equivalence or assured yield maintenance. Head rice rate increased by 2.05% with a 95% confidence interval from 0.28% to 3.86% and a nominal P value of 0.025. Rapid Visco Analyzer (RVA) breakdown increased by 6.70% with a 95% confidence interval from 0.79% to 12.96% and a nominal P value of 0.030. Prediction intervals for both outcomes crossed zero. Confidence intervals for the other eight quality traits also included zero. No moderator association remained significant after false-discovery-rate control. However, the yield association with substitution rate had an adjusted P value of 0.071 and remained exploratory. Removing ineligible comparators did not reverse any pooled direction, but it changed the magnitude or heterogeneity of setback, chalkiness, and breakdown. Organic-fertilizer substitution showed trait-specific associations rather than uniform benefits. The evidence applies to the included Chinese field studies. It does not establish causal mechanisms, overall quality improvement, or assured yield maintenance.

Frontiers in Soil ScienceVol. 6
Xinyang Agriculture and Forestry University (CN), Ministry of Agriculture and Rural Affairs (CN)
Agricultural Science and Fertilization
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