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作 者:陈真权 崔之益[2] 易立飒[2] 奚如春[2] 李文锋[2] 莫宝盈[2]
机构地区:[1]云浮市林业科技推广中心,广东云浮527300 [2]华南农业大学林学院
出 处:《林业科技开发》2014年第2期71-73,共3页China Forestry Science and Technology
基 金:国家林业公益性行业专项资金资助项目"优质丰产油茶专用肥研制"(编号:200904058);国家自然科学基金项目"油茶果实氮磷钾养分讯号;作用与调控机制"(编号:30872052);广东省林业科技创新专项"‘华丰’系列油茶优良资源评价及高效利用技术研究与示范"(编号:2012KJCX011-02)
摘 要:为探求提供一种简捷实用的林木养分测定方法。以油茶为对象,采用常规养分分析和电导率法,分别测定油茶叶片样品的N、P、K养分含量及其相对电导率,建立其相对电导率与养分含量的相关模型,并探索利用根据测定样品的电导率,来快速获得该样品的养分含量。结果表明,油茶叶片样品相对电导率与N、P、K养分含量相关性良好,且均遵循多项式拟合模型,经验证,该预测模型精度达90%以上。In order to seek a simple, quick and accurate method to determinate the amount of plant nutrient, the contents of N ,P ,K and relative conductivity of Camellia oleifera leaf samples were measured respectively by using the conventional method of nutrient analysis and conductivity method in C. oleifera, And also, the related models between the relative conductivity and nutrient contents were established, so that the nutrient content of the sample was obtained quickly by measuring conductivity. The results indicated that a significant correlation was observed between the relative conductivity and N, P ,K nutrient contents of C. oleifera leaf samples, which all of those followed the polynomial fitting equation. The rate of accuracy of the prediction model was more than 90% .
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