旱田堆肥和复合肥施用氨排放特征

Yeon-Jin Lee, Eun-Chae Im, Sung-Chang Hong, Seong-Jik Park
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摘要

目的:监测不同氮肥施用量对旱地氨挥发的影响,比较堆肥肥(CM)和复合肥(CF)对旱地氨挥发的影响,探讨影响旱地氨挥发的环境因素。方法:采用静室法采集旱田氨,监测氨挥发前后进行土壤分析。利用Pearson相关分析和机器学习来确定氨挥发与环境因素的关系。对收获作物的生长特性进行了分析,Duncan分析证实了氮肥处理之间存在显著差异。结果与讨论:CM肥与CF肥在氨挥发量上无显著差异。但由于马铃薯地土壤NH<sub>4</sub><sup>+</sup>-N含量较高,马铃薯地氨挥发量大于大白菜地。机器学习发现土壤温度和湿度是影响氨挥发的重要因素。对作物生长的分析表明,增加氮肥施用对作物生长有积极影响。结果表明,单一施用有机肥不能满足作物对养分的需求。结论:本研究量化了氨排放,确定了影响因素,为提高农业肥料利用效率和氮素管理策略提供了有价值的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics of Ammonia Emissions from the use of Compost manure and Composite Fertilizer in Upland Field
Objectives : This study aimed to monitor ammonia volatilization in upland fields under different nitrogen fertilizer applications, comparing compost manure (CM) and composite fertilizer (CF) and investigate the environmental factors influencing ammonia volatilization.Methods : Ammonia was collected using the static chamber method in upland fields, and the soil analyses were conducted before and after ammonia volatilization monitoring. Pearson's correlation analysis and machine learning were utilized to determine the relationship between ammonia volatilization and environmental factors. Growth characteristics of harvested crops were analyzed, and Duncan analysis confirmed significant differences between nitrogen fertilizer treatments.Results and Discussion : In both CM and CF fertilized fields, there was no significant difference in ammonia volatilization. However, more ammonia volatilization was observed in the potato field compared to the Chinese cabbage field, attributed to higher NH4+-N content in the soil of the potato field. Machine learning identified soil temperature and moisture as significant factors affecting ammonia volatilization. The analysis of crop growth revealed a positive effect of increased nitrogen fertilizer application. The result showed that single CM application was insufficient to meet crop nutrient demands.Conclusion : This study quantified ammonia emissions, identified influencing factors, and provided valuable data for enhancing fertilizer use efficiency and nitrogen management strategies in agriculture.
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