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Updated: Apr 21, 2026

Microplot Design and Plant and Soil Sample Preparation for 15Nitrogen Analysis
Published on: May 10, 2020
Optimizing nitrogen management in grain rotations: balancing retention and photosynthesis
Dan Liu1,2, Yudong Zheng1, Xin Hui3
1Key Laboratory of Crop Drought Resistance Research of Hebei Province, Institute of Dryland Farming, Hebei Academy of Agriculture and Forestry Sciences, Hengshui, China.
None:
Diversified cropping systems exhibited enhanced resource utilization efficiency, yet the nitrogen (N) allocation mechanisms and utilization patterns in economic-grain rotation systems remain poorly understood. This study investigated the cross-seasonal N allocation dynamics and photosynthetic responses to N reduction in a garlic-maize rotation system through a three-season field experiment with graded N treatments (garlic, 300 and 240 kg N ha-1; maize, 220, 175, and 130 kg N ha-1). N reduction increased soil water-filled pore space (WFPS) by 5.2%-8.7% during maize seasons but decreased it in garlic seasons. It also reduced topsoil (0-20 cm) NO3 --N accumulation by >15% compared to deeper layers. Leaf physiological parameters-including leaf area index (LAI), SPAD values, and net photosynthetic rates-declined by 18%-32% under N reduction, with garlic demonstrating higher sensitivity. Residual N from preceding garlic crops stabilized maize LAI (± 6.5%), indicating compensatory inter-season adjustments. Critical thresholds were identified: maize achieved optimized grain nitrogen partitioning (65% to 72%) and a 22% improvement in nitrogen use efficiency (NUE) with a reduction of 45 kg N ha-1 without a significant yield penalty (less than 5%). Conversely, garlic experienced a 23% increase in stem nitrogen translocation when nitrogen was reduced by 60 kg N ha-1, which resulted in a 34% decrease in bulb allocation. Annual N reduction (8.65%-28.85%) enhanced maize agronomic efficiency (+40%) but reduced garlic yields (4.2%-27.5%) and partial factor productivity (-18%). These results reveal contrasting, crop-specific N allocation strategies and support the development of demand-driven N management to balance productivity and economic outcomes in multi-cropping systems.
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