Genetic Diversity and Relationship of Some Sugar Beet Population and Their Correlation with Morpho-physiological Traits

IF 1.6 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS Plant Molecular Biology Reporter Pub Date : 2024-08-19 DOI:10.1007/s11105-024-01478-x
Maryam Golabadi, Abouzar Asadi, Mojgan Dabaghi
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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.

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一些甜菜种群的遗传多样性和关系及其与形态生理性状的相关性
本研究的重点是利用甜菜(Beta vulgaris L)的产量、产量成分和根部形态生理性状,鉴定一些育种群体的遗传多样性变异。在 2021-2022 年的种植季节,研究人员在阿扎德大学(Azad University)的研究田中,采用随机完全区组设计,对 8 个不同甜菜群体的 80 个基因型进行了五次重复。研究结果表明,不同种群之间存在显著的统计差异,这表明所研究的甜菜种群存在遗传差异。分析数据的均值比较显示,P191 在含糖量、含氮量、纯糖含量、萃取系数和根干物质方面表现出更好的性状。同样,群体 M224 在根数、根产量、叶重和糖产量方面表现较好。采用 UPGMA 方法绘制的树枝图显示,该群体形成了三个不同的聚类,其中 M249 与 191 个群体之间的遗传距离最大。这一距离有望通过这两个群体之间的杂交产生最大的异质性。结果表明,根数对 RY、LY、Na 和 WSY 有显著影响,但与其他性状没有显著相关性。RY与LY、Na和WSY相关,而LY与WSC、ECS和DM成反比,与Na直接相关。基于变异旋转的主成分分析表明,三个因子对总方差的解释程度为 87.6%:第一个因子 WSC 解释了 54.5%,第二个因子 RY 占 22.8%,第三个因子占总方差的 10.2%。前两个分量的双平面图显示出与聚类分析分组相似的种群。这一研究结果为甜菜品种的育种和改良提供了宝贵的启示。
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来源期刊
Plant Molecular Biology Reporter
Plant Molecular Biology Reporter 生物-生化研究方法
CiteScore
4.20
自引率
0.00%
发文量
40
审稿时长
2.7 months
期刊介绍: The scope of the journal of Plant Molecular Biology Reporter has expanded to keep pace with new developments in molecular biology and the broad area of genomics. The journal now solicits papers covering myriad breakthrough technologies and discoveries in molecular biology, genomics, proteomics, metabolomics, and other ‘omics’, as well as bioinformatics.
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