摘要
为探究小麦条锈病病情状况与冠层光谱的关系,通过田间人工接种条锈病菌,在不同生育期测定各个种植小区的冠层光谱、病情指数,对测定的光谱进行了连续统去除,提取光谱吸收深度、吸收峰总面积、吸收峰左端面积、对称度等吸收特征参数,计算光谱敏感度值,以病害区光谱吸收特征参数和光谱敏感度两个指标定量分析了小麦病害随生育期推进的变化程度,并且以不同生育期的光谱敏感度值和全生育期吸收特征参数为自变量建立回归模型,精确反演了小麦全生育期的病情指数。结果表明,以光谱敏感度值为自变量的组合模型预测值拟合度为0.97,以光谱吸收特征参数为自变量的模型预测值拟合度为0.95,均达到显著水平。
The canopy spectral reflectance of wheat infected stripe rust was measured and the disease indices（DI） were investigated in the field at different growth stages respectively. The canopy spectra was treated with smoothing and continuum removal, and spectral absorption feature parameters, such as absorption depth（D）, absorption peak overall area,absorption peak at the left end of the area and symmetry were extracted. The spectral sensitivity was calculated, and the infection degree at different growth stage was analyzed based on the prediction spectral absorption feature parameters and spectral sensitivity, which estimated the whole wheat fertility period of disease index. The regression models were established by using the spectral sensitivity and the absorption characteristic parameters as inde- pendent variables, and the disease index of the whole growing period of wheat was accurately re- trieved. The results indicated that, there are not many differences of canopy spectral reflectance and spectral absorption feature parameters between health and disease wheat in the flagging stage because of the mild rust symptoms. Spectral sensitivity of each stage as variable has the better estimation pre- cision for DI, with the predictive fitting degree of 0.97, which is better than the characteristic param- eters of the spectrum absorption.
出处
《麦类作物学报》
CAS
CSCD
北大核心
2016年第12期1674-1680,共7页
Journal of Triticeae Crops
基金
国家自然科学基金项目(41301476)
北京市自然科学基金项目(4132029)
关键词
小麦条锈病
冠层光谱
光谱敏感度
吸收特征参数
病情指数
Wheat infected stripe rust
Canopy spectrum
Spectral sensitivity
Absorption character-istic parameter
Disease index
