聚谷氨酸与灌溉定额协同调控对盐碱土壤及棉花产量的影响
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石河子大学水利建筑工程学院

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新疆生产建设兵团科技计划项目(2025YD17)、兵团第三师“揭榜挂帅”项目(KY2024JBGS07)和粮食作物精准水肥一体化技术研究与应用(2024NC062)资助


Interactive Effects of Poly-γ-Glutamic Acid and Irrigation Quota on Saline-Alkali Soil Properties and Cotton Yield
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College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi

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Supported by the Science and Technology Program of XPCC, China (No. 2025YD17), the Project of

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    摘要:

    为探究盐碱化棉田土壤改良及棉花增效的协同调控策略,2024年在新疆玛纳斯县中度盐碱棉田开展田间试验。通过双因素完全组合设计,设置3种聚谷氨酸(γ-PGA)施用量(F1:7.5 kg·hm-2、F2:15 kg·hm-2、F3:22.5 kg·hm-2)和2个灌溉定额水平(W1:4 000 m3·hm-2、W2:4 500 m3·hm-2),研究二者对土壤理化性质及棉花生理生长、产量与品质的影响。结果表明,与F1、F2相比,F3土壤盐分和pH峰值均降低,多酚氧化酶、过氧化氢酶、脲酶及蔗糖酶活性均提高,其中脲酶活性显著提高了30.13%~35.22%,同时促进根系生长及干物质积累,显著增加棉花产量,产量相关参数提高3.02%~27.96%。此外,提高灌溉定额会降低土壤盐分和pH峰值,显著增强4种酶活性,增幅为9.16%~48.33%,根系指标及吐絮期各器官生物量均得到提高,产量相关参数显著提高11.10%~30.34%。主成分分析和相关性分析显示,土壤酶活性、根系指标与棉花产量构成要素呈显著正相关(P<0.05),土壤盐分、pH与棉花纤维品质呈显著负相关(P<0.05)。综合评价表明,4 500 m3·hm-2灌溉定额配合22.5 kg·hm-2 γ-PGA施用可通过改善根区土壤微环境、促进棉花干物质积累等途径,实现盐碱地棉花生产的提质增效。

    Abstract:

    【Objective】To establish scientifically grounded, synergistic regulatory approaches for the comprehensive mitigation of the persistent challenge of saline–alkali soil degradation in cotton-growing systems, this study conducted a controlled field experiment during the 2024 cotton season on moderately saline–alkali soils in Manas County, Xinjiang. The objective was to elucidate how the integrated application of poly-γ-glutamic acid (γ-PGA) and regulated irrigation influences soil biochemical processes, cotton physiological performance, yield formation, and fibre quality under field conditions.【Method】A two-factor randomized block design was established, involving three γ-PGA rates (F1: 7.5 kg·hm-2; F2: 15 kg·hm-2; F3: 22.5 kg·hm-2) and two irrigation quotas (W1: 4 000 m3·hm?2; W2: 4 500 m3·hm?2). Comprehensive measurements included soil physicochemical indices (Electrical conductivity (EC) -based salinity and pH variations across growth stages), key enzymatic activities (polyphenol oxidase, catalase, urease, sucrase), root morphological traits (length, diameter, biomass ratios), organ-specific dry matter accumulation, and yield and fibre parameters (boll number, lint percentage, composite quality index).【Result】Compared with F1 and F2, the F3 treatment effectively suppressed peak soil salinity and pH, concurrently elevating enzymatic activity, particularly urease, which increased by 30.13%-35.22 %. Nevertheless, the response plateaued beyond the F3 level, suggesting diminishing returns under higher γ-PGA concentrations. Enhanced enzymatic activity and improved rhizosphere conditions promoted root proliferation and biomass accumulation, resulting in a moderate but statistically significant yield increase (3.02%–27.96 %). Likewise, a higher irrigation quota (W2) alleviated surface salt accumulation and improved enzyme activities by 9.16%-48.33%, although excessive irrigation risked secondary salinization through capillary rise and nutrient leaching. Also, multivariate analyses (Principal component analysis and Pearson correlation) revealed a strong positive correlation (P < 0.05) between enzyme activity and yield traits. At the same time, soil salinity and alkalinity showed negative correlations with fibre quality indices, emphasizing the trade-off between osmotic stress alleviation and fibre maturation under saline conditions.【Conclusion】The combined application of 22.5 kg·hm?2 γ-PGA with 4 500 m3·hm?2 irrigation proved the most efficient configuration within the tested range, primarily by ameliorating the rhizosphere microenvironment (lower EC/pH and enhanced enzymatic turnover) and optimizing photosynthate allocation to reproductive organs. However, the overall improvement remains conditional on soil salinity thresholds, long-term stability, and economic feasibility. Thus, while the integrated γ-PGA–irrigation strategy significantly enhances cotton yield and fibre quality in saline–alkali soils, its scalability and sustainability under variable climatic and hydrological regimes warrant further investigation.

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王闪,张金珠,王振华,张继红,刘梦洁,马占利,郑继亮.聚谷氨酸与灌溉定额协同调控对盐碱土壤及棉花产量的影响[J].土壤学报,DOI:10.11766/trxb202506130284,[待发表]
WANG Shan, ZHANG Jinzhu, WANG Zhenhua, ZHANG Jihong, LIU Mengjie, MA Zhanli, ZHENG Jiliang. Interactive Effects of Poly-γ-Glutamic Acid and Irrigation Quota on Saline-Alkali Soil Properties and Cotton Yield[J]. Acta Pedologica Sinica, DOI:10.11766/trxb202506130284,[In Press]

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  • 收稿日期:2025-06-13
  • 最后修改日期:2025-10-11
  • 录用日期:2025-11-04
  • 在线发布日期: 2025-11-10
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