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3 小麦单茎穗地上部生物量与单穗籽粒产量的相关性

Table 3 Correlations between aboveground biomass per stem-panicle and ear-derived grain yield of wheat

品种 Variety 单叶片质量SLW (g) 单茎秆质量SSW (g) 单穗质量SEW (g) 宁麦13 Ningmai 13 0.719** 0.765** 0.950** 鲁原502 Luyuan 502 0.510** 0.565** 0.927** 郑麦9023 Zhengmai 9023 0.475** 0.529** 0.919** 指数Exponential ln(SEY)=a0+a1×ln(SLW)2+a2×ln(SSW)2+a3×ln(SEW)2