基于光谱特征参量的‘温185’核桃叶片钾含量估测模型  

Spectral characteristic parameters estimation models for potassium content of Juglans regia ‘Wen185’ leaves

作　　者：胡珍珠[1] 潘存德[1] 肖冰[1] 潘鑫[1] 

机构地区：[1]新疆农业大学林学与园艺学院/新疆教育厅干旱区林业生态与产业技术重点实验室,乌鲁木齐830052

出　　处：《应用生态学报》2016年第5期1393-1400,共8页Chinese Journal of Applied Ecology

基　　金：新疆维吾尔自治区"十二五"重大科技专项(201130102-2);新疆研究生科研创新项目(XJGRI2014082)资助~~

摘　　要：基于田间人工定量施肥试验,采用Pearson相关分析筛选与果实不同生育时期‘温185’核桃叶片钾(K)含量呈极显著相关的光谱特征参量,并以筛选出的光谱特征参量为自变量,采用回归分析构建‘温185’核桃果实不同生育时期叶片K元素含量估测模型.结果表明:‘温185’核桃果实不同生育时期均存在一到多个与叶片K含量呈极显著相关(P<0.01)的光谱特征参量;分别以光谱特征参量绿色归一化差值指数、红边黄边面积比值、绿色比值指数和蓝边面积为自变量,采用三次函数建立的果实不同生育时期叶片K含量回归估测模型的拟合度(R2)均大于0.95,模型均方根误差小于0.8161 g·kg^(-1),相对误差绝对值小于2.7%,模型估测值与实测值一致.基于光谱特征参量采用三次函数构建的‘温185’核桃叶片K含量估测模型具有较高的估测精度,光谱技术在核桃树体K元素营养信息探测方面有较大的应用潜力.According to the field trials with quantitative fertilization, the spectral characteristic pa- rameters which were highly significantly correlated with foliar potassium （K） content were screened out using Pearson correlation analysis, and the foliar K content estimation models of Juglans regia ＇ Wen185＇ in different phenological periods of fruit development were built up with these parameters as independent variables using regression analysis. The results showed that there were one or more spectral characteristic parameters which were highly significantly correlated with the foliar K contents of ‘ Wen185＇ walnut in the different phonological periods of fruit development （P〈0.01）. Through cubic function＂ analysis with normalized difference green index in the fruit setting period, ratio red and yellow edge area index in the fruit rapid-growth period, ratio green index in the fruit fat-change period and blue edge area in the fruit near-mature period as independent variable, the regression estimation models of the foliar K content in the different phenological periods of fruit development were established respectively, and their fitting degrees （RE） were all above 0.95. In addition, the estimated values of the models for the foliar K content of ‘ Wen185＇ walnut were consistent with the measured values of the independent samples, and the root mean square errors and the relative errors of the independent sample tests were less than 0.8161 g . kg-1 and 2.7% in the diffe- rent phenological periods of fruit development. The models showed their high estimation accuracy. The spectrum technology possessed great application potential in monitoring K status of J. regia.

关 键 词：核桃 叶片 钾素含量 光谱 

分 类 号：S664.1[农业科学—果树学]