利用叶片反射光谱预测大豆合交98-1667干物重模型  

Predicting Model of Dry Matter Accumulation of Dwarf Soybean Hybrid 98-1667 by Leaf Reflectance Spectra

作　　者：宋英博[1,2] 贾立君[2] 杜永生[2] 王囡囡[2] 邓际华 陈庆山[1] 胡国华[4] 

机构地区：[1]东北农业大学农学院,黑龙江哈尔滨150030 [2]黑龙江省农业科学院佳木斯分院,黑龙江佳木斯154007154002 [3]黑龙江省合江林业科学研究所,黑龙江佳木斯154002 [4]黑龙江省农垦科研育种中心,黑龙江哈尔滨150090

出　　处：《大豆科学》2010年第3期429-432,共4页Soybean Science

基　　金：黑龙江省国际合作资助项目(WB08C07)

摘　　要：通过对不同波长光谱反射率的分析,确立大豆地上部干物重的敏感波段,计算出相应的植被指数,并建立植被指数与大豆地上部干物质量预测模型。结果表明:在可见光波段范围内,合交98-1667选取510nm和680nm2个波段的光谱反射率与地上部干物重的相关性呈极显著;在近红外区域,选取800nm、900nm和1005nm3个波段,其中800nm和900nm的光谱反射率与合交98-1667地上部干物重的相关性均呈极显著,波长为1005nm时呈显著相关。4种植被指数经过比较RVI相关性最好。通过RVI植被指数建立模型,Y=4.0216×RVI2(900,680)-99.106×RVI(900,680)+625.36,能较为准确预测大豆地上部干物重。The sensitive wavebands were determined by analyzing relationship with spectra reflectance in different wavebands and the dry matter accumulation in above-ground part of soybean,and the prediction model was established.The results showed that there were highly significant correlations between spectra reflectance of 510 and 680 nm which selected from among visible light and the dry matter accumulation in the above-ground part of hybrid 98-1667,spectra reflectance of 800 and 900 nm in the range of near infrared light were highly significant correlated,and spectra reflectance of 1 005 nm was significantly correlated with the above-ground weight.After compared with those four vegetation indices,the RVI has the best relativity.The corresponding prediction model established by vegetation indices of RVI was Y = 4.0216 × RVI2（900,680）-99.106 × RVI（900,680） ＋ 625.36,and it could be accurate to predict the dry matter accumulation in above-ground part of soybean.

关 键 词：植被指数 光谱反射率 干物重 估测模型 

分 类 号：S565.1[农业科学—作物学]