Objective

2

To establish a research platform for obtaining accurate phenotypic spectrum data is a technical difficulty that needs to be resolved in the research of traditional Chinese medicine resources. For example，the traditional phenotypic characterization method of

Armillaria

rhizomorph is mostly in a form of descriptive text，which is subjective and empirical. There is an urgent need for an objective and accurate method to characterize the phenotype of honey fungus rhizomorph.

Method

2

Based on the image processing software Image J and the root identification plug-in SmartRoot combined with the Synbiosis ProtoCol 3 image analyzer，the growth picture of

Armillaria

spp. was analyzed，and the length，growth rate，branching situation，and angle of nascent rhizomorph of

Armillaria gallica

were measured to establish a measurement system for the phenotypic analysis of

Armillaria

rhizomorph.

Result

2

Based on the method developed in this paper，the growth length，growth rate，number of branches，angle of nascent rhizomorph，and other phenotypic changes can be analyzed in a real-time manner without affecting the growth of

Armillaria gallica

.

Armillaria

spp. grew fastest at 9-12 days after generation，and the angle between the nascent rhizomorph and the parent rhizomorph was nearly vertical. This method had a certain correlation with the dry weight of traditional

Armillaria

biomass phenotypic parameters，with a high value in practical application.

Conclusion

2

This study has established an objective，accurate，fast and real-time phenotypic analysis and measurement system for

Armillaria

rhizomorph，which expands the scope of application of SmartRoot and can be used for phenotypic analysis of traditional Chinese medicine resources under controlled experimental conditions.