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

IF 5.9 1区 农林科学 Q1 AGRONOMY
Rujie Lv , Qingyin Shang , Fengjuan Lv , Ruiqing Wang , Junhai He , Lingen Wei
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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.
通过不同水分条件下芝麻临界氮浓度稀释曲线优化施氮量
芝麻(Sesamum indicum L.)是一种重要的油料作物,以种子含油量和蛋白质含量高而闻名,但由于季节性干旱和土壤肥力低,中国南方红壤地区的芝麻产量和质量受到限制。为了优化不同降水条件下的氮素管理,本研究以金黄麻和甘芝14号两个芝麻品种为研究对象,在不同水分条件和地点建立了临界氮浓度(Nc)稀释曲线,并进行了验证。与丰水年相比,干旱胁迫导致干旱年芝麻产量损失53.3 %。同一降水年,两个品种的Nc稀释曲线差异无统计学意义。因此,我们导出了芝麻统一的Nc动态(干旱年:Nc = 3.05 DM−0.24;丰水年Nc = 2.60 DM−0.29)。独立试验证实,不同降水年的Nc曲线能有效区分限氮处理和非限氮处理。氮营养指数(NNI)和累积氮亏缺(Nand)有效地反映了氮的状况,确定最佳施氮量在丰水年为135 kg ha⁻¹ ,在干旱年为90 kg ha⁻¹ 。不同降水情景下NNI、Nand与产量之间存在较强的相关性,表明它们对提高产量结果的预测能力。本研究强调了Nc稀释曲线在完善N管理策略中的适用性,倡导采用量身定制的氮肥方法来提高干旱易发农业区芝麻的生产力和可持续性。
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来源期刊
Agricultural Water Management
Agricultural Water Management 农林科学-农艺学
CiteScore
12.10
自引率
14.90%
发文量
648
审稿时长
4.9 months
期刊介绍: Agricultural Water Management publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.
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