详细信息
The effect of aeration and irrigation on the improvement of soil environment and yield in dryland maize ( SCI-EXPANDED收录) 被引量:1
文献类型:期刊文献
英文题名:The effect of aeration and irrigation on the improvement of soil environment and yield in dryland maize
作者:Yu, Zhen-zhen[1];Wang, Hong-xuan[2];Yu, De-shui[3];Yin, Ning-xia[1];Zhang, Jing[1]
机构:[1]Guangdong Ocean Univ, Sch Mech Engn, Zhanjiang, Peoples R China;[2]Chinese Acad Trop Agr Sci, Minist Agr & Rural Affairs, South Subtrop Crops Res Inst, Key Lab Trop Fruit Biol, Zhanjiang, Peoples R China;[3]Huazhong Univ Sci & Technol, Sch Management, Wuhan, Peoples R China
年份:2024
卷号:15
外文期刊名:FRONTIERS IN PLANT SCIENCE
收录:SCI-EXPANDED(收录号:WOS:001346245600001)、、Scopus(收录号:2-s2.0-85208574611)、WOS
基金:The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by the Scientific Research Initiation Program of Guangdong Ocean University (grant no. 060302062313) and the Natural Science Foundation of Hainan Province (grant no. 322QN416).
语种:英文
外文关键词:aerated irrigation; dryland maize; soil environment; structural equation model; mechanisms of yield increase
外文摘要:The aim of this study was to examine the effect of long-term aerated seepage irrigation technology on soil fertility changes and maize yield under continuous maize cropping system in red loam soil, and to explain the mechanism of maize yield increase under this technology, which can provide theoretical basis for crop quality improvement and yield increase under aerated irrigation (AI) technology. Therefore, this research was conducted for four field seasons in 2020-2023 at the National Soil Quality Observation Experimental Station, Zhanjiang, China. Soil aeration, soil fertility, root growth, physiological traits, and yield indicators were evaluated by conventional underground drip irrigation (CK) and AI. Our results showed that AI treatment significantly improved soil aeration and soil fertility. Increases in soil oxygen content, soil respiration rate, soil bacterial biomass, and soil urease activity were observed, corresponding to increases from 3.08% to 21.34%, 1.90% to 24.71%, 26.37% to 0.09%, and 12.35% to 100.96%, respectively. The effect of AI on maize indicators increased year by year. Based on improvements in soil aeration and fertility, root length, root surface area, and root dry weight under AI treatment were enhanced by 15.56% to 53.79%, 30.13% to 62.31%, and 19.23% to 35.64% (p < 0.05) compared to the CK group. In addition, maize agronomic traits and physiological characteristics showed improved performance; in particular, over 1.16% to 14.42% increases were identified in maize yield by AI treatment. Further analysis using a structural equation model (SEM) demonstrated that the AI technology significantly promotes the improvement of root indicators by enhancing soil aeration and soil fertility. As a result, maize yield could be increased significantly and indirectly
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