Optimizing nitrogen application rate through critical nitrogen concentration dilution curves for sesame under different water conditions

Rujie Lv, Qingyin Shang, Fengjuan Lv, Ruiqing Wang, Junhai He and Lingen Wei

Agricultural Water Management, 2025, vol. 316, issue C

Abstract: Sesame (Sesamum indicum L.), a crucial oilseed crop renowned for high oil and protein content of seed, faces yield and quality constraints in southern China's red soil regions due to seasonal drought and low soil fertility. To optimize nitrogen (N) management under varying precipitation regimes, we developed and validated critical nitrogen concentration (Nc) dilution curves using two sesame cultivars, Jinhuangma and Ganzhi 14, in different water conditions and locations. Compared with the wet year, drought stress triggered a 53.3 % yield loss for sesame in dry year. There was no statistical differences in the Nc dilution curve across two varieties in the same precipitation year. Therefore, we derived a unified Nc dynamics of sesame (the dry year: Nc = 3.05 DM−0.24; the wet year: Nc = 2.60 DM−0.29). Independent experiments verified that the Nc curves for different precipitation years effectively distinguish between N-limiting and non-N-limiting treatments. The nitrogen nutrition index (NNI) and accumulated nitrogen deficit (Nand) effectively reflected N status, identified that optimal N application rates were 135 kg ha⁻¹ in wet years and 90 kg ha⁻¹ in dry years. The strong correlations between NNI, Nand and yield across precipitation scenarios, indicates the predictive power of them in enhancing yield outcomes. This study underscores the applicability of Nc dilution curves in refining N management strategies, advocating for tailored nitrogen fertilization approaches to bolster sesame productivity and sustainability in drought-prone agricultural regions.

Keywords: Nitrogen management; Nitrogen nutrition index; Precipitation variability; Drought stress; Uncertainty (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:316:y:2025:i:c:s0378377425002793

DOI: 10.1016/j.agwat.2025.109565

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