基于机器视觉的稻茬麦单茎穗高通量表型分析

丁启朔,李海康,孙克润,何瑞银,汪小旵,刘富玺,厉翔

High-Throughput Phenotyping of Individual Wheat Stem and Ear Traits with Machine Vision

QiShuo DING,HaiKang LI,KeRun SUN,RuiYin HE,XiaoChan WANG,FuXi LIU,Xiang LI

表5 小麦单穗穗重与单穗籽粒产量回归模型拟合结果

Table 5 Fitting results of wheat single ear weight and ear-derived grain yield regression model

品种 Variety 模型 Model 系数Coefficient 决定系数 R2 F值 F value P值 P value 误差方差估计 MSp a0 a1 宁麦13 Ningmai 13 线性Linear -0.061 0.783 0.902 443.105 0.000 0.009 二次Quadratic 0.459 0.275 0.914 248.683 0.000 0.008 指数Exponential 3.183 0.071 0.882 357.326 0.000 0.010 鲁原502 Luyuan 502 线性Linear 0.002 0.673 0.859 293.457 0.000 0.023 二次Quadratic 0.584 0.168 0.862 146.316 0.000 0.023 指数Exponential 3.186 0.069 0.670 97.358 0.000 0.060 郑麦9023 Zhengmai 9023 线性Linear -0.099 0.695 0.844 259.356 0.000 0.036 二次Quadratic 0.454 0.191 0.858 290.450 0.000 0.033 指数Exponential 2.921 0.073 0.744 139.620 0.000 0.059