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Synergistic effects of multiple factors on rice yield in Northeast China
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Zhao-ran WANG1, Shun-ying YANG2, Hong-wei ZHAI3, Xin WANG4, Yan-hua SU2, Wei QI1, *
Journal of Plant Nutrition and Fertilizers | 2026, 32(5) : 965 - 978
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Journal of Plant Nutrition and Fertilizers | 2026, 32(5): 965-978
Research paper
Synergistic effects of multiple factors on rice yield in Northeast China
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Zhao-ran WANG1, Shun-ying YANG2, Hong-wei ZHAI3, Xin WANG4, Yan-hua SU2, Wei QI1, *
Affiliations
  • 1College of Resources and Environment, Shandong Agricultural University, Tai’an, Shandong 271018, China
  • 2Nanjing Institute of Soil Sciences, Chinese Academy of Sciences, Nanjing, Jiangsu 211135, China
  • 3Rice Research Institute of Fangzheng County, Heilongjiang Province, Fangzheng, Heilongjiang 150899, China
  • 4Fujin Agriculture and Rural Bureau / Fujin Rural Revitalization and Development Service Center, Jiamusi, Heilongjiang 156199, China
Published: 2026-05-25 doi: 10.11674/zwyf.2025386
Outline
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Objectives

Northeast China is a vital grain production region of China. By means of Meta analysis, we studied the synergistic effects of agricultural management practices and climatic factors on rice yield in cold regions, to provide a theoretical basis for high and stable rice production in this area.

Methods

Literature published from 2003 to 2024 was searched on Web of Science, PubMed, CNKI, WanFang, and VIP databases using the keywords “cold region” or “Northeast China” and “rice yield” or “straw return” or “nitrogen application” or “nitrogen cycle”. The studies were then screened based on the following criteria: 1) Field experiments conducted in the three northeastern provinces of China; 2) Included straw return or nitrogen fertilization treatments, with corresponding controls (no straw return or no nitrogen application); 3) Reported complete data with means, standard deviations (SD) or standard errors (SE), and had at least three replicates (n≥3); 4) Provided rice yield data and at least one indicator of soil properties and/or the abundance of a nitrogen - cycling gene. A total of 175 pieces of literature were acquired from 61 observation sites across the three northeastern provinces. Among these, 570 datasets were extracted from 154 publications, and the effects of straw return duration, nitrogen application rate, tillage, and irrigation methods on rice yield and soil physicochemical properties were quantified using a Random Forest model. Additionally, 73 datasets were obtained from the remaining 21 pieces of literature to examine the correlation between nitrogen-cycling functional genes and soil factors to elucidate the underlying microbially-mediated mechanisms.

Results

The random forest model identified soil organic carbon (SOC) and nitrogen application rate as the dominant factors influencing rice yield, with contribution rates of 27.05% and 24.14%, respectively. Subgroup analysis revealed that the combination of deep tillage with film mulching and controlled irrigation (PFM-CI) increased SOC content and rice yield by 20.46% and 36.24%, respectively. Under conditions of nitrogen application at 90−180 kg/hm2, straw return rates of 6000−9000 kg/hm2, and a return duration of 5−10 years, medium -maturing rice varieties exhibited higher yield increases compared with early- and late-maturing varieties. The interaction between nitrification and denitrification processes regulated soil nitrogen forms and availability, thereby significantly affecting rice yield in cold regions. Correlation analysis showed that SOC was positively correlated with the abundance of the denitrification gene nosZ (r=0.84), and the abundance of nosZ was significantly positively correlated with total nitrogen (TN) content in the anaerobic paddy soils (r=0.85, P<0.001). SOC also showed a positive correlation with the abundance of the ammonia-oxidizing archaeal gene AOA-amoA (r=0.22).

Conclusions

Rice yield in cold regions is jointly regulated by soil carbon and nitrogen contents as well as microbial transformation processes. Adopting the deep tillage combined with film mulching and controlled irrigation (PFM-CI) mode, optimizing the nitrogen fertilizer-to-straw return ratio, and selecting medium-maturing varieties are key strategies for enhancing rice yield and nitrogen use efficiency in the cold regions of Northeast China.

rice yield  /  meta-analysis  /  straw return  /  nitrogen application rate  /  C-N cycle  /  functional genes  /  cold region of Northeast China
Zhao-ran WANG, Shun-ying YANG, Hong-wei ZHAI, Xin WANG, Yan-hua SU, Wei QI. Synergistic effects of multiple factors on rice yield in Northeast China[J]. Journal of Plant Nutrition and Fertilizers, 2026 , 32 (5) : 965 -978 . DOI: 10.11674/zwyf.2025386
Year 2026 volume 32 Issue 5
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Article Info
doi: 10.11674/zwyf.2025386
  • Receive Date:2025-09-04
  • Online Date:2026-07-16
  • Published:2026-05-25
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History
  • Received:2025-09-04
  • Accepted:2025-11-29
Affiliations
    1College of Resources and Environment, Shandong Agricultural University, Tai’an, Shandong 271018, China
    2Nanjing Institute of Soil Sciences, Chinese Academy of Sciences, Nanjing, Jiangsu 211135, China
    3Rice Research Institute of Fangzheng County, Heilongjiang Province, Fangzheng, Heilongjiang 150899, China
    4Fujin Agriculture and Rural Bureau / Fujin Rural Revitalization and Development Service Center, Jiamusi, Heilongjiang 156199, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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