The Introduction Of Wheat Genetic Diversity Resources Assessment Of Agronomic Traits And Molecular Markers

Wheat is a major food crop in the world with a wide variety of products.The analysis of genetic diversity of what is conducive to the preservation of germplasm resources and breeding selection.At the same time,it can provide a theoretical basis for the study of the genetic relationship of wheat germplasm.In this study,445 wheat varieties from different sources were invoked as test materials,and their genetic diversity was analyzed by agronomic traits and molecular markers.The entire study mainly obtained the following results:(1)performance of each agronomic trait: the coefficient of variation of heading date,flowing date,plant height,panicle length,spike number of and 1000-grain weight ranged from 2.77% to 22.47%.Thousand grain weight had the largest coefficient of variation and the smallest flowering period.The statistics of awning length,waxiness,lodging resistance and spike shape show that the group is characterized by easy lodging,long yawns and light wax.(2)Based on agronomic traits,445 what materials were classified by principal component analysis and cluster analysis.The results obtained by both were similar.The principal component analysis divides the materials into two major categories,one from the United States and the other from the ICARDA,mixed with some American materials.Under the cluster analysis,the materials were divided into 2 categories,among which the first group was mostly from the United States.At the same time,the second group was divided into two categories,which included most of the U.S.source germplasm resources and ICARDA source germplasm resources.(3)Classification of materials based on molecular markers through population analysis and cluster analysis: Group analysis classifies all materials into two categories.The first subgroup contains most of the species from the United States and very few of them originate from ICARDA.The second subgroup contains the vast majority of species derived from ICARDA and some of the United States.The cluster analysis classifies the materials into three major categories.The former type of material is U.S.source,the second type of material is ICARDA,and the third type is further divided into five sub-groups.Most of the same source of material.(4)In this experiment,the consequences of genetic diversity analysis based on agronomic traits and molecular markers were relatively consistent,and the materials could be classified according to the source.At the same time,the genomic information from ICARDA was less,and the aggregation effect was obvious.Material hereditary information from the United States is more abundant.(5)Mantel test of the two cluster analysis results is significant,but the correlation coefficient is only 0.05681.10 traits were ranked and combined for cluster analysis and the results of the molecular marker were analyzed by Mantel.The clustering results were available from the combination of six indicators such as heading date,plant height,spike length,spike number,grain weight,and lodging resistance.The result was most analogous to the molecular marker result,which was 0.4256.However,it was issued by nine indicators including heading date,flowing date,plant height,ear length,spike number,number of grains per spike,grain weight,awn length,waxiness,and lodging resistance.The results were negatively correlated with the molecular markers,indicating that the clustering of the two methods was less consistent in this population.(6)The comparison between the phenotypes and molecular clusters was made by comparing the closely related germplasm resources as an internal standard.The results showed that the consistency of the two was minimal.