{"title":"Genetic Diversity and Relationship of Some Sugar Beet Population and Their Correlation with Morpho-physiological Traits","authors":"Maryam Golabadi, Abouzar Asadi, Mojgan Dabaghi","doi":"10.1007/s11105-024-01478-x","DOIUrl":null,"url":null,"abstract":"<p>The present study focuses on the identification of variation in genetic diversity in some of the breeding populations using yield, yield component, and root morpho-physiological traits in <i>Beta vulgaris</i> L. Eighty genotypes from 8 different sugar beet populations were used under a randomized complete block design with five replicates at the Azad University research field during the cropping season of 2021–2022. Significant statistical differences were recorded among the populations that indicate the genetic difference of the studied sugar beet population. Mean comparison of analyzed data revealed, P191 to displayed better traits in terms of sugar content, nitrogen content, pure sugar content, extraction coefficient, and root dry matter. Similarly, population M224 exhibited better root number, root yield, leaf weight, and sugar yield. The dendrogram using UPGMA revealed that the population formed three distinct clusters, with the greatest genetic distance between M249 and the 191 populations. This distance is expected to create maximum heterosis through crossbreeding between these two populations. The results indicate that the number of roots significantly affects RY, LY, Na, and WSY, but does not have a significant correlation with other traits. RY is correlated with LY, Na, and WSY, while LY is inversely correlated with WSC, ECS, and DM, and directly correlated with Na. Principal component analysis based on varimax rotation revealed that three factors explained the total variance to an extent of 87.6%: the first factor named WSC explained 54.5%, the second factor, called RY, accounted for 22.8%, and the third factor contributed to 10.2% of the total variance. The biplot from the first two components showed populations similar to cluster analysis grouping. The findings of this research provide valuable insights into the breeding and improvement of sugar beet populations.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s11105-024-01478-x","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The present study focuses on the identification of variation in genetic diversity in some of the breeding populations using yield, yield component, and root morpho-physiological traits in Beta vulgaris L. Eighty genotypes from 8 different sugar beet populations were used under a randomized complete block design with five replicates at the Azad University research field during the cropping season of 2021–2022. Significant statistical differences were recorded among the populations that indicate the genetic difference of the studied sugar beet population. Mean comparison of analyzed data revealed, P191 to displayed better traits in terms of sugar content, nitrogen content, pure sugar content, extraction coefficient, and root dry matter. Similarly, population M224 exhibited better root number, root yield, leaf weight, and sugar yield. The dendrogram using UPGMA revealed that the population formed three distinct clusters, with the greatest genetic distance between M249 and the 191 populations. This distance is expected to create maximum heterosis through crossbreeding between these two populations. The results indicate that the number of roots significantly affects RY, LY, Na, and WSY, but does not have a significant correlation with other traits. RY is correlated with LY, Na, and WSY, while LY is inversely correlated with WSC, ECS, and DM, and directly correlated with Na. Principal component analysis based on varimax rotation revealed that three factors explained the total variance to an extent of 87.6%: the first factor named WSC explained 54.5%, the second factor, called RY, accounted for 22.8%, and the third factor contributed to 10.2% of the total variance. The biplot from the first two components showed populations similar to cluster analysis grouping. The findings of this research provide valuable insights into the breeding and improvement of sugar beet populations.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.