To assess and investigate the effects of application of superabsorbent polymer (SAP) and salicylic acid (SA) on performance of drought-affected sesame (Sesamum indicum L.), soil characteristics, and water productivity of irrigation (WPi). A randomized complete block design with split-strip plot arrangement and three replications in two successive cropping years was arranged. Two levels of irrigation consisting of supplying 50% and 100% of the sesame water requirement (deficit irrigation, DI and full irrigation, FI, respectively) were allocated to the main plots, and application of SAP (80 kg ha⁻¹) was allocated to the subplots. Foliar application of SA (1 mM) and control was allocated to the strip plots. The results showed that the highest seed yield (SY) was obtained from DI, along with SAP and SA application. Under drought stress (DI), separate and simultaneous applications of SAP and SA increased WPi by 42% (SAP), 36% (SA), and 43% (SAP + SA), respectively, compared with control. The highest WPi was achieved through DI plus SAP application, which was 60% more than combination treatment of FI plus no-application of SAP. The results of principal component analysis (PCA) indicated that SY, seed weight per plant (SW), crop growth rate (CGR), and WPi were the effective variables of the first principal component (PC) and explained 67% of the total variance of the data. The nutritional management was effective in reducing drought stresses; moreover, the highest SY and biological yield (BY), CGR, the total amount of soil nitrogen (Soil N), and WPi were obtained in the simultaneous application of SAP and SA.

评估和研究应用高吸水性聚合物 (SAP) 和水杨酸 (SA) 对受干旱影响的芝麻 ( Sesamum indicum L.) 性能、土壤特性和灌溉用水生产率 (WPi) 的影响。安排了一个随机完整区组设计，在连续两年的种植年中进行了分割样地安排和三个重复。两个灌溉水平由提供芝麻需水量的 50% 和 100%（分别为亏缺灌溉，DI 和充分灌溉，FI）组成，分配给主要地块，并应用 SAP（80 kg ha ^-1) 被分配到子地块。SA (1 mM) 和对照的叶面施用被分配到条状地块。结果表明，从 DI 以及 SAP 和 SA 应用中获得了最高的种子产量 (SY)。在干旱胁迫 (DI) 下，与对照相比，单独和同时施用 SAP 和 SA 使 WPi 分别增加了 42% (SAP)、36% (SA) 和 43% (SAP + SA)。最高的 WPi 是通过 DI 加 SAP 应用实现的，比 FI 加不应用 SAP 的组合处理高 60%。主成分分析(PCA)结果表明SY、单株种子重(SW)、作物生长率(CGR)和WPi是第一主成分(PC)的有效变量，解释了总方差的67%的数据。营养管理在减少干旱胁迫方面是有效的；