Optimizing irrigation salinity for cotton production through cotton yield and fiber quality and water use efficiency in arid regions

IF 5.6 1区 农林科学 Q1 AGRICULTURAL ENGINEERING
Wenhao Li , Cunhong Zhang , Minzhong Zou , Hongyu Lai , Tehseen Javed , Zhenhua Wang
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引用次数: 0

Abstract

Irrigation with brackish irrigation sources puts forward a viable strategy to mitigate agricultural water scarcity in arid regions. Earlier investigations have established the inhibitory impacts of salt stress on cotton growth, yield, and quality, there remains a critical gap in identifying salinity thresholds that simultaneously optimize yield, quality of cotton, and WUE. To address this, a comprehensive two-year field investigation (2021–2022) was conducted in Shihezi, Xinjiang, utilizing a mulched drip irrigation system under four irrigation water salinity regimes: 0.85 g L−1 (control), 3 g L−1, 5 g L−1, and 8 g L−1. The study systematically evaluated the impact of brackish irrigation on cotton development parameters, physiological traits, crop output, and fiber properties to identify the optimal salinity range for enhanced productivity and resource efficiency. Results showed that 3 g L−1 salinity irrigation significantly enhanced growth parameters, including plant height (Ph), stem diameter (Sd), leaf area index (LAI), aboveground dry matter accumulation (Ab), net photosynthetic rate (Pn), transpiration rate (Tr) and stomatal conductance (Gs), ultimately enhancing both yield and fiber properties. In contrast, higher salinity levels (5 g L−1 and 8 g L−1) negatively impacted crop development and productivity. Compared to the control, 3 g L−1 salinity increased yields by 5.92 % (2021) and 4.76 % (2022). Path analysis using structural equation modeling (SEM) revealed that salinity primarily influenced yield through its effect on Tr, which mediated changes in LAI and Ab, ultimately determining seed cotton yield (SCY). Salinity also directly affected fiber quality, particularly micronaire value (MIC) and uniformity index (UFI). Regression analysis identified an optimal salinity range of 1.76–3.00 g L−1 for achieving balanced improvements in yield, fiber quality, and WUE. These findings provide a scientific foundation for optimizing brackish water use in cotton production, delivering practical guidance for eco-efficient farming systems across water-scarce zones globally.

Abstract Image

干旱地区通过棉花产量、纤维品质和水分利用效率优化灌溉盐度
微咸灌溉源灌溉为缓解干旱区农业缺水问题提供了一条可行的对策。早期的研究已经确定了盐胁迫对棉花生长、产量和品质的抑制作用,但在确定同时优化棉花产量、品质和水分利用效率的盐度阈值方面仍存在关键差距。为了解决这一问题,在新疆石河子进行了为期两年的全面实地调查(2021-2022),利用膜下滴灌系统,在四种灌溉水盐度制度下进行:0.85 g L−1(对照),3 g L−1,5 g L−1和8 g L−1。本研究系统评估了微咸灌溉对棉花发育参数、生理性状、作物产量和纤维特性的影响,以确定提高生产力和资源效率的最佳盐度范围。结果表明,3 g L−1盐度灌溉显著提高了植株的生长参数,包括株高(Ph)、茎粗(Sd)、叶面积指数(LAI)、地上干物质积累(Ab)、净光合速率(Pn)、蒸腾速率(Tr)和气孔导度(Gs),最终提高了产量和纤维性能。相反,较高的盐度水平(5 g L−1和8 g L−1)对作物发育和生产力产生负面影响。与对照相比,3 g L−1盐度分别使产量提高5.92 %(2021年)和4.76 %(2022年)。利用结构方程模型(SEM)进行通径分析,发现盐度主要通过对Tr的影响影响产量,Tr介导LAI和Ab的变化,最终决定棉籽产量(SCY)。盐度也直接影响纤维质量,特别是马克隆值(MIC)和均匀度指数(UFI)。回归分析确定了1.76-3.00 g L−1的最佳盐度范围,可实现产量、纤维品质和水分利用效率的平衡提高。这些发现为优化棉花生产中的微咸水利用提供了科学基础,为全球缺水地区的生态高效农业系统提供了实用指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Industrial Crops and Products
Industrial Crops and Products 农林科学-农业工程
CiteScore
9.50
自引率
8.50%
发文量
1518
审稿时长
43 days
期刊介绍: Industrial Crops and Products is an International Journal publishing academic and industrial research on industrial (defined as non-food/non-feed) crops and products. Papers concern both crop-oriented and bio-based materials from crops-oriented research, and should be of interest to an international audience, hypothesis driven, and where comparisons are made statistics performed.
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