江西农业学报2024，Vol.36Issue(9)：42-51,10.DOI:10.19386/j.cnki.jxnyxb.2024.09.006
浙江农田土壤化学计量特征与有效铬预测模型
Stoichiometry Characteristics and Available Chromium Prediction Model of Farmland Soil in Zhejiang Province
摘要
Abstract
To provide basic information of soil for crop production,a total of 3726 soil samples were collected,preprocessed,stored and detected from typical farmland in Zhejiang Province from 2008 to 2018.A total of 14 physicochemical indexes including Pondus Hydrogenii(pH)etc.,were detected for each sample.R software including multiple linear regression based on weighted least square method,was used to analyze the data.The results showed that:(1)The arithmetic mean value of pH of the samples was 5.82,and the pH of 79.6%soil samples was 4.500～6.500.The organic matter(oM)content of 90.8%soil samples ranged from 0 to 50 g/kg.The contents of total Nitrogen(tN),available Nitrogen(aN),available Phosphorus(aP)and available potassium(aK)in 84.0%soil samples were 0～4 g/kg,0～300 mg/kg,0～50 mg/kg and 0～150 mg/kg,respectively.The content of slow available potassium in 77.8%soil samples(saK)was 50～450 mg/kg.The contents of Cu,Zn,B,Mo and Cr in 91.8%soil samples were 0～40,0～100,0～2,0～10 and 0～100 mg/kg,respectively.The content of Mn and Fe in 87.8%soil samples were 0～80 mg/kg and 0～400 mg/kg.(2)Available chromium content is significantly correlated with saK,Cu,aK,pH,Mn,Zn,B,Mo,oM,tN and aN,and their relationship is expressed by robust regression equation as follows:yCr=-130.0+64.6xCu+50.6xpH+451.0xB-12.6xCu×pH-75.6xCu×B-84.9xpH×B-15.6xMn×B+13.8xCu×pH×B.In conclusion,the typical farmland soil in Zhejiang region is acidic.The oM contents of most soils(79.1%)were 20～50 g/kg,which was suitable for crop growth.The contents of N,Cr and K in soil varied moderately,and the coefficient of variation was 30%～90%.The contents of P,Fe,Mn,Cu,Zn,B and Mo in soil varied greatly,and the coefficient of variation was greater than one.Soil available Cr content was significantly correlated with 11 soil components such as saK and Cu,which could be quantitatively described by robust regression equation.关键词
土壤营养/土壤理化指标/检测/重金属Key words
Soil Nutrient/Soil physiochemical index/Detection/Heavy metal分类
农业科技引用本文复制引用
孔海民,林宝义,任海英,季天委,郭东梅,王先挺,陆若辉,李岗..浙江农田土壤化学计量特征与有效铬预测模型[J].江西农业学报,2024,36(9):42-51,10.基金项目
浙江省"三农九方"科技协作计划"揭榜挂帅"项目(2023SNJF041) （2023SNJF041）
浙江省农业重大技术协同推广计划项目(2022 XTTGGP04) （2022 XTTGGP04）
浙江省"尖兵""领雁"科技研发攻关计划(2023C02005) （2023C02005）
浙江省化肥减量增效"三新"试点项目:浙农专发[2023]15号资助. （）
