水土保持通报2018，Vol.38Issue(2)：58-64,7.DOI:10.13961/j.cnki.stbctb.2018.02.010
秸秆还田深度对黄棕壤养分及物理性质的影响
Effects of Straw Returning Depth on Nutrients and Physical Properties of Yellow Brown Soil
摘要
Abstract
[Objective] The effects of different straw returning depths on nutrients and physical characters of yellow brown soil were studied in order to explore the optimal straw returning depth and to provide a scientific basis for improving straw utilization,and soil physical and chemical properties as well.[Methods] This research studied on yellow brown soil,and five treatments of straw returning were set:no straw turning (CK),straw covering surface(T0),10 cm-straw turning(T10),20 cm-straw turning(T20) and 30 cm-straw turning(T30),to analyze soil physical indexes and nutrient contents of 0-40 cm soil layer after wheat harvest.[Results] ① Straw returning decreased the soil bulk density and increased the soil total porosity,saturated water content,field water holding capacity and effective water content.These treatments improved the contents of SOM,AP and total-N in soil by 6.56％～9.96％,2.81％～7.32％ and 1.67％～10.00％,respectively;② Straw returning treatments decreased the contents of NO3-N and NH4+-N by 14.90 ％ ～ 53.42 ％ and 1.48％～15.04％,respectively.There was a significantly negative correlation between NO3-N content and the depth of straw returning.③ The principal component analysis showed that comprehensive score in different straw returning depth treatments decreased in the following order:T20 ＞T30 ＞T10 ＞T0＞CK,which elucidated that straw returning improved nutrients and physical properties of yellow brown soil,and it showed the most significant depth of straw returning was 20 cm.[Conclusions] If physical properties and nutrient contents were considered,the best depth of straw returning was 20 cm.关键词
黄棕壤/秸秆还田/小麦/土壤物理性状/土壤养分Key words
yellow brown soil/straw returned/wheat/soil physical properties/soil nutrient分类
农业科技引用本文复制引用
任晓明,陈粲,陈效民,曲成闯,韩召强,张晓玲,孟子惟..秸秆还田深度对黄棕壤养分及物理性质的影响[J].水土保持通报,2018,38(2):58-64,7.基金项目
江苏省自然科学基金项目“不同秸秆还田方式下旱地农田温室气体的长期模拟与预测”(SBK2015040286) （SBK2015040286）
中科院南京土壤所开放基金项目(Y20160038) （Y20160038）
博士后基金(2016M591884) （2016M591884）
