Study On Analysis Of Three-dimensional Point Cloud Data Of Spinach Phenotype And Genetic Diversity Of Morphological Quality Index

Spinach(Spinacia oleracea L.)is an important economic crop that can be planted in four seasons.It has strong adaptability and is widely planted all over the world,which makes its germplasm resources have rich genetic diversity.In the research process of plant genetic diversity,morphological markers are commonly used.However,the traditional phenotypic data measured by human is not only labor-consuming but also prone to human errors.The model established by plant visualization technology can extract phenotypic data more effectively.In order to provide theoretical basis for systematic classification and breeding of spinach,665 spinach resources globally collected were analyzed according to physiological and morphological data extracted from field measurement and three-dimensional modeling parameters.The main results are as following:1.The average diversity index of 20 physiological and morphological characters was 1.59,the highest mean diversity index was protein as 2.18,the lowest mean diversity index was leaf roundness as 0.76,and the difference between them was 1.43.The diversity indexes of protein,soluble oxalic acid,projection area,nitrate nitrogen and vitamin C were higher than other characters,indicating higher genetic diversity.The average genetic diversity index of domestic resources was 1.56,lower than 1.69 of foreign resources.The average genetic diversity index of various phenotypic traits of Chinese was 1.56,the lowest average genetic diversity index of various phenotypic traits was Middle East as 1.39,while the highest average genetic diversity index was European resources as 1.69,which indicated the genetic variation of spinach germplasm resources was large.2.665 spinach germplasm resources were divided into 5 groups by morphological markers.Different spinach can be classified according to their different geographical sources,including the United States,China(not classified),Beijing,Netherlands and Japan;Afghanistan,Macedonia,Belgium,Turkey,Iran and Syria;Jiuquan,Germany,Russia,Greece,Anhui,Hubei and Hungary;Denmark,France,Shanxi and Spain;Shanghai and Shangdong.From the genetic distance,it can be found that the genetic background of Shanghai and Shandong was very special,and the fifth group has the characteristics of low soluble oxalic acid content,low nitrate nitrogen content and high protein content.It is the most suitable germplasm resource for breeding.3.In this experiment,the three-dimensiollle visual SFM program.The leaf color,plant height,plant width,leaf length,leaf width,projection area,projection perimeter,roundness,compactness and the number of convex vertices are calculated by using Trait Analyzer program.The correlation between the minimum circumscribed rectangle length(corresponding to the leaf length)and the minimum circumscribed rectangle width(corresponding to the leaf width)and between the measured leaf length and the leaf width is verified by the Trait analyzer.The results showed that the minimum circumscribed rectangle length and the leaf length are significantly positively correlated with the correlation coefficient of 0.60,the rectangle width and the leaf width are significantly positively correlated with the correlation coefficient of 0.59,which indicated the test method is reliable and feasible to obtain morphological parameters and feed back to the extraction of phenotypic indicators.In the future,this method can be used to study the genetic diversity of phenotypic indicators and replace some traditional data measurement methods.