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作 者:钟鑫 乔云发[1] 赵红飞 高雅晓玲 姚婷 ZHONG Xin;QIAO Yun-fa;ZHAO Hong-fei(Nanjing University of Information Science&Technology,Nanjing,Jiangsu 210044)
机构地区:[1]南京信息工程大学
出 处:《安徽农业科学》2020年第2期10-12,19,共4页Journal of Anhui Agricultural Sciences
基 金:农业部公益性行业(农业)科研专项(201503116-03);南京信息工程大学引进人才项目(2015r50)
摘 要:[目的]采用耕作指数(TI)定量评价东北风沙土区农田耕层土壤质量,为准确评价东北风沙土区耕层土壤质量提供科学依据。[方法]以黑龙江省大庆市杜尔伯特蒙古族自治县域内风沙土区玉米田块为调查对象,依据土壤肥力差异,选取18个调查点进行28项常规土壤理化性状指标和玉米产量的测量。采用多元线性回归方法建立耕层质量评价最小数据集(MDS),计算土壤耕作指数(TI)。[结果]多元回归结果表明,土壤有机质、全磷、碱解氮、孔隙度和pH构成评价风沙土壤质量的最小数据集(MDS)。最小集耕作指数(MDS-TI)分别与全量数据集耕作指数(TDS-TI)和玉米产量呈极显著正相关,相关系数分别为r=0.95和r=0.96,表明可以用最小数据集替代全量数据集来评价土壤质量。依据耕作指数0~1取值范围,将耕作指数分为0~0.33,0.33~0.66,0.66~1.00,对应耕层土壤地力高中低3个等级。该研究的18个调查点高产田占11.1%,中产田最多,占55.6%,低产田占33.3%,说明风沙土区农田以中低产田为主。[结论]利用最小数据集耕作指数可以有效评价东北风沙土壤质量,为东北风沙土质量评价和中低产田改良提供理论参考。[Objective]Using tillage index(TI)to quantitatively evaluate the soil quality of farmland plough layer in northeast aeolian sandy soil area,and provide scientific basis for accurately evaluating soil quality of plough layer in northeast aeolian sandy soil area.[Method]Based on the differences in soil fertility,18 survey sites were selected for the measurement of 28 routine soil physical and chemical properties and corn yield based on the differences in soil fertility in Heilongjiang Province.A multivariate linear regression method was used to establish a minimum data set(MDS)for the quality evaluation of the plough layer,and the soil tillage index(TI)was calculated.[Result]Multiple regression results indicated that soil organic matter,total phosphorus,basic nitrogen,porosity and pH constitute the minimum data set(MDS)for evaluating sandy soil quality.The minimum data set tillage index(MDS-TI)was significantly positively correlated with the full data data set tillage index(TDS-TI)and maize yield,with correlation coefficients r=0.95 and r=0.96,indicating that the minimum data may have been used to set up an alternate complete data set to assess soil quality.According to the range of farming index 0~1,the tillage index was divided into 0~0.33,0.33~0.66,0.66~1.00,corresponding to the high,medium and low grades of soil fertility.Among the 18 survey sites in this study,high-yield fields accounted for 11.1%,middle-yield fields accounted for the most,55.6%,and low-yield fields accounted for 33.3%,indicating that sandy soil fertility sandy soil areas were mainly low-yielding and middle-yielding fields.[Conclusion]Using the minimum data set tillage index can effectively evaluate the soil quality of the aeolian sandy soil in northeast China,and provide a theoretical reference for the quality evaluation of the aeolian sandy soil and the improvement of the middle-yielding and low-yielding fields.
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