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作 者:杨梅花[1,2] 赵小敏[1] 王芳东[1,3] 郭熙[1] 谢文[1] YANG Mei-hua ZHAO Xiao-min WANG Fang-dong GUO Xi XIE Wen(Key Laboratory of Poyang Lake Basin Agricultural Resources and Ecology of Jiangxi Province, Jiangxi Agricultural University, Nanchang 330045, China Nanchang Teachers College, Nanchang 330103, China Ganzhou Agricultural Science Research Institute, Ganzhou 341000, China)
机构地区:[1]江西农业大学江西省鄱阳湖流域农业资源与生态重点实验室,江西南昌330045 [2]南昌师范高等专科学校,江西南昌330103 [3]赣州市农业科学研究所,江西赣州341000
出 处:《江西农业大学学报》2016年第6期1188-1195,共8页Acta Agriculturae Universitatis Jiangxiensis
基 金:国家自然科学基金项目(41361049);江西省自然科学基金项目(20122BAB204012)~~
摘 要:土地肥力评价对江西红壤地区土壤的农业生产非常重要。目前土壤肥力评价使用的指标多且没有统一标准,构建最小数据集肥力指标的肥力指数综合模型能够为农业管理者提供足够的肥力信息。通过对来自吉安县、余江县和兴国县240个土壤样品的全部肥力指标因子进行主成分分析提取最小数据集的肥力指标,并对全部指标建立的肥力指数和最小数据集建立的肥力指数进行相关分析和分类后的配对分析。结果表明提取的最小数据集的肥力指标因子有有机质、pH,阳离子交换链和粘粒含量4种,基于4种肥力指标建立的肥力指数和全部指标建立的肥力指数相关性极显著,相关性达0.92,分类后的整体准确率为88.75%,kappa因子为0.82,基于主成分分析提取的最小数据集建立的肥力指数和全部指标建立的肥力指数一致,能够较好代表全部肥力指标信息。Soil fertility evaluation is essential for agricultural production in red-soil regions of Jiangxi Province.At present,many methods are used to evaluate soil fertility using vastly different indicators.A small number of carefully chosen soil fertility indicators,when used in the soil fertility integrated indexes,would assist agriculture managers to better understand the soil fertility conditions of various agricultural systems.This study analyzes soil fertility indexes of three counties of Jiangxi Province by means of the integrated fertility indexes in combination with total data sets and minimum data sets using principal analysis.The correlations were analysed and Kappa values of classification were compared in soil fertility indexes based on total data sets and minimum data sets. The result shows that the correlation of soil fertility using total data sets and minimum data sets is0.92( ρ0.01),the total accuracy in three classes is 88.75% and the Kappa is 0.82.It is concluded that using the method of soil fertility indexes and the minimum data sets can adequately represent the total fertility indexes and thus save time and cost.
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