浙江农田土壤化学计量特征与有效铬预测模型OACSTPCD
Stoichiometry Characteristics and Available Chromium Prediction Model of Farmland Soil in Zhejiang Province
为作物生产提供基础土壤信息,以2008-2018年浙江地区典型农田为研究对象,采集、处理、贮存和检测了3726个土壤样本,每个样本包括pH值等14个理化指标,用R软件的基于加权最小二乘法原理的多元线性回归对数据进行分析.结果表明:(1)浙江地区典型农田土壤,pH值的算术平均值为5.820,79.6%土壤样本的pH值介于4.500~6.500之间;90.8%土壤样本的有机质(oM)含量为0~50 g/kg;84.0%以上土壤样本全氮(tN)、速效氮(aN)、有效磷(aP)和速效钾(aK)的含量分别为0~4 g/kg、0~300 mg/kg、0~50 mg/kg和0~150 mg/kg;77.8%土壤样本缓效钾(saK)的含量为50~450 mg/kg;91.8%以上土壤样本的Cu、Zn、B、Mo和Cr含量分别为0~40、0~100、0~2、0~10和0~100 mg/kg;87.8%土壤样本的Mn含量为0~80 mg/kg;87.8%土壤样本的Fe含量为0~400 mg/kg.(2)有效态Cr含量与saK、Cu、aK、pH、Mn、Zn、B、Mo、oM、tN和aN等指标显著相关,可用稳健回归方程表示为: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.总之,浙江地区典型农田土壤偏酸性,大部分土壤(79.1%)oM含量为20~50 g/kg,适合作物生长;土壤中N、Cr、K含量变异中等,变异系数为30%~90%;土壤中P、Fe、Mn、Cu、Zn、B、Mo的含量变化较大,变异系数均大于1;有效Cr含量与saK、Cu等11种土壤组分呈显著相关,可以用稳健回归方程定量描述.
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.
孔海民;林宝义;任海英;季天委;郭东梅;王先挺;陆若辉;李岗
浙江省农业科学院 农产品质量安全和营养研究所/园艺研究所,浙江 杭州 310021||浙江省耕地质量与肥料管理总站,浙江 杭州 310020浙江省耕地质量与肥料管理总站,浙江 杭州 310020浙江省农业科学院 农产品质量安全和营养研究所/园艺研究所,浙江 杭州 310021宁波市鄞州区农业技术推广站,浙江 宁波 315100
农业科学
土壤营养土壤理化指标检测重金属
Soil NutrientSoil physiochemical indexDetectionHeavy metal
《江西农业学报》 2024 (009)
42-51 / 10
浙江省"三农九方"科技协作计划"揭榜挂帅"项目(2023SNJF041);浙江省农业重大技术协同推广计划项目(2022 XTTGGP04);浙江省"尖兵""领雁"科技研发攻关计划(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.
评论