Integrating source-sink coordination and pod-setting optimization: A field study on plant density effects for soybean productivity enhancement in the Huang-Huai-Hai Plain

Increasing plant density (PD) has proven effective in maximizing yield worldwide, but the optimal PD for soybean production in the Huang-Huai-Hai Plain and its physiological mechanisms remain unclear. To address this gap, a two-year experiment was conducted to investigate the effects of six PDs (135,000, 180,000, 225,000, 270,000, 315,000, and 360,000 plants ha -1 ) on plant characteristics, source parameters (leaf area index (LAI) and light interception rate (LIR)), sink traits (seed number and weight), pod-setting characteristics (seeds per pod and pod spatial distribution), and productivity. Results showed that as PD increased, individual-level relative productivity variation (RPV) decreased by 2.1% per additional 10,000 plants ha -1 , while population-level RPV and seed yield peaked at 315,000 plants ha -1 . This indicates that higher densities can offset declines in individual productivity up to 315,000 plants ha -1 , boosting total yield by 2.6% per additional 10,000 plants ha -1 , driven by increases in LAI (1.9%) and LIR (1.1%). Beyond 315,000 plants ha -1 , however, seeds per m 2 and 100-seed weight declined despite continued increases in plant height, LAI, and LIR, signaling a shift in photoassimilate allocation to stems and leaves at the expense of yield sinks. These findings highlight a transition from source-limited to sink-limited yield constraints as PD rises. Additionally, higher PD improved yield by increasing the proportions of 3-seed pod, middle-node pod, and main stem pod. Overall, 270,000 and 315,000 plants ha -1 delivered the highest economic returns and seed yield, attributed to balanced individual and population productivity, optimized source-sink relationships, and improved pod-setting characteristics, making them the most suitable densities for regional soybean cultivation. This study offers new insights into the source-sink dynamics and pod-setting mechanisms under varying PDs and proposes a 22%-40% increase in PD over current standards (225,000 plants ha -1 ) as an effective high-yield strategy to address the region's soybean production shortfall. • Yield limitations shift from source-driven at low density to sink-driven at high density. • Optimal density optimizes pod-setting characteristics by increasing the proportions of 3-seed pod, middle-node pod, and main stem pod. • 270,000 to 315,000 plants ha -1 is the suitable density for high-yield soybean production in the HHHP.

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Publication Details

Journal
Journal of Agriculture and Food Research
Published
2025-06-03
DOI
https://doi.org/10.1016/j.jafr.2025.102070
Primary Topic
Soybean genetics and cultivation
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrating source-sink coordination and pod-setting optimization: A field study on plant density effects for soybean productivity enhancement in the Huang-Huai-Hai Plain

Lingcong Kong, Wenwen Song, Xiangbei Du, Jie Zhou et al.
Journal of Agriculture and Food Research
Soybean genetics and cultivation
article

Integrating source-sink coordination and pod-setting optimization: A field study on plant density effects for soybean productivity enhancement in the Huang-Huai-Hai Plain

Lingcong Kong, Wenwen Song, Xiangbei Du, Jie Zhou, Xiaofei Chen, Lei Yang, Zhiping Huang, Yi Xu, Ruixian Liu, Wenjun Jin
article en

Abstract

Increasing plant density (PD) has proven effective in maximizing yield worldwide, but the optimal PD for soybean production in the Huang-Huai-Hai Plain and its physiological mechanisms remain unclear. To address this gap, a two-year experiment was conducted to investigate the effects of six PDs (135,000, 180,000, 225,000, 270,000, 315,000, and 360,000 plants ha -1 ) on plant characteristics, source parameters (leaf area index (LAI) and light interception rate (LIR)), sink traits (seed number and weight), pod-setting characteristics (seeds per pod and pod spatial distribution), and productivity. Results showed that as PD increased, individual-level relative productivity variation (RPV) decreased by 2.1% per additional 10,000 plants ha -1 , while population-level RPV and seed yield peaked at 315,000 plants ha -1 . This indicates that higher densities can offset declines in individual productivity up to 315,000 plants ha -1 , boosting total yield by 2.6% per additional 10,000 plants ha -1 , driven by increases in LAI (1.9%) and LIR (1.1%). Beyond 315,000 plants ha -1 , however, seeds per m 2 and 100-seed weight declined despite continued increases in plant height, LAI, and LIR, signaling a shift in photoassimilate allocation to stems and leaves at the expense of yield sinks. These findings highlight a transition from source-limited to sink-limited yield constraints as PD rises. Additionally, higher PD improved yield by increasing the proportions of 3-seed pod, middle-node pod, and main stem pod. Overall, 270,000 and 315,000 plants ha -1 delivered the highest economic returns and seed yield, attributed to balanced individual and population productivity, optimized source-sink relationships, and improved pod-setting characteristics, making them the most suitable densities for regional soybean cultivation. This study offers new insights into the source-sink dynamics and pod-setting mechanisms under varying PDs and proposes a 22%-40% increase in PD over current standards (225,000 plants ha -1 ) as an effective high-yield strategy to address the region's soybean production shortfall. • Yield limitations shift from source-driven at low density to sink-driven at high density. • Optimal density optimizes pod-setting characteristics by increasing the proportions of 3-seed pod, middle-node pod, and main stem pod. • 270,000 to 315,000 plants ha -1 is the suitable density for high-yield soybean production in the HHHP.

Journal of Agriculture and Food ResearchVol. 22
Nanjing Agricultural University (CN), Jiangsu Academy of Agricultural Sciences (CN), Anhui Academy of Agricultural Sciences (CN), Institute of Crop Sciences (CN), China Agricultural University (CN)
National Major Science and Technology Projects of China
Zero hunger
Openalex Percentile: Top 91%
Soybean genetics and cultivation
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