Bigger is not always better: Optimizing leaf area index with narrow leaf shape in soybean

索引(排版) 叶面积指数 数学 园艺 农学 生物 计算机科学 万维网
作者
Bishal G. Tamang,Gregory C. Bernard,Carl J. Bernacchi,Brian W. Diers,Elizabeth A. Ainsworth
标识
DOI:10.1101/2025.07.07.663573
摘要

Abstract Modern soybean varieties have higher than optimal leaf area index (LAI), which could divert resources from reproductive growth. Altering leaf shape could be a simple strategy to reduce LAI. To test this, we developed 204 near-isogenic soybean lines differing in leaf morphology by introgressing narrow-leaf alleles from donor parents PI 612713A and PI 547745 into the elite, broad-leaf cultivar LD11-2170. We evaluated the lines across two locations and two row spacings (38-cm and 76-cm) to assess how reduced investment in leaf area influences canopy architecture, crop physiology, and yield. Narrow-leaf lines showed 13% lower peak LAI and 3% lower digital biomass compared to broad-leaf counterparts yet maintained yield parity (5,756 vs. 5.801 kg ha -1, p = 0.43) across environmental conditions. Photosynthetic capacity remained largely unchanged, with narrow-leaf lines showing modest increases in electron transport rate and leaf mass per area. Narrow-leaf lines achieved similar canopy closure timing despite lower LAI, suggesting architectural compensation mechanisms. The most striking difference appeared in seed packaging, with narrow-leaf lines producing 34% four-seeded pods compared to only 1.8% in broad-leaf lines. There was a nonlinear relationship between peak LAI and yield, with optimal LAI values of 9-11 varying by environment. These findings show that the single-gene GmJAG1 -controlled narrow-leaf trait offers a tractable strategy for reducing LAI and maintaining high productivity. This could reduce the metabolic costs associated with excessive canopy development and support sustainable agriculture under increasing climate variability.
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