农业科学研究2024，Vol.45Issue(2)：71-76,6.
采用灰色关联度法评价施用土壤调理剂后的盐碱沙荒地土壤质量
Evaluation of Soil Quality in Saline-Alkaline Sandy Wasteland After Applying Soil Conditioner Using Grey Relational Analysis
摘要
Abstract
In order to address the issues of low soil fertility and poor water and fertilizer retention in saline-alkali sandy wasteland,this paper studied the effects of different application rates of carbon-based soil conditioners(0(CK),1.0(SC-T1),1.5(SC-T2),2.0(SC-T3),2.5(SC-T4),3.0(SC-T5)t/667 m²)on soil properties and plant growth using Zoysia matrella as an indicator crop.The effects of the soil conditioner were evaluated using correlation analysis and grey correlation degree analysis.The results showed that:① The application of carbon-based soil conditioner could effectively improve the physical and chemical properties and microbial properties of saline-alkali sand wasteland.Compared to CK,soil porosity increased by 7.65%in SC-T1 and 7.04%in SC-T4.The Chao1 indices of SC-T1,SC-T2,SC-T3,SC-T4,and SC-T5 were higher by 1.65%,10.90%,4.72%,0.48%,and 6.21%respectively,and the Shannon indices increased by 1.60%,5.34%,3.10%,1.07%,and 4.27%respectively.Soil pH decreased and organic matter content significantly increased,with SC-T4 and SC-T5 showing 51.85%and 73.99%increases compared to CK.② Key factors influencing the improvement of soil quality by the soil conditioner included pH(0.95),Shannon index(0.95),soil porosity(0.93),and soil bulk density(0.91).③ Grey correlation degree analysis indicated that all treated soils scored higher than CK,with SC-T2 achieving the highest score and the best comprehensive improvement effect.关键词
碳基土壤调理剂/盐碱沙荒地/土壤质量评价/灰色关联度Key words
carbon-based soil conditioners/sandy saline land/soil quality evaluation/grey correlation degree分类
农业科技引用本文复制引用
雷青青,李强,张潇逸,柳永兵,刘娜,艾锋,刘小铭,杨航,李懿轩,郭伟..采用灰色关联度法评价施用土壤调理剂后的盐碱沙荒地土壤质量[J].农业科学研究,2024,45(2):71-76,6.基金项目
国家重点研发计划项目(2022YFF1300802) （2022YFF1300802）
国家自然科学基金项目(42267071) （42267071）
陕西省煤田地质集团有限公司创新能力支撑项目(SMDZ-2022CX-4) （SMDZ-2022CX-4）
