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Assessment and phenotypic identification of millet germplasm (Setaria italica L.) in Liaoning, China

文献类型：外文期刊

第一作者： Li, Xintong

作者： Li, Xintong;He, Weifeng;Wang, Honghao;Xu, Min

作者机构：

关键词： Millet; Germplasm resources; Agronomy trait; Phenotypic identification; fi cation; Diversity analysis

期刊名称：PEERJ （影响因子：2.3；五年影响因子：2.8 ）

ISSN： 2167-8359

年卷期： 2024 年 12 卷

页码：

收录情况： SCI

摘要： Aims: This study evaluated millet germplasms in Liaoning Province to support the collection, preservation and innovation of millet germplasm resources. Methods: The study was conducted from 2018 to 2020, involved the selection of 105 millet germplasm resources from the Germplasm Bank of the Liaoning Academy of Agricultural Sciences (LAAS), the observation and recording of 31 traits, and the application of multivariate analysis methods to assess phenotypic diversity. Results: From the diversity analysis and correlation analysis, it was found that the tested traits had abundant diversity and complex correlations among them. Principal component analysis (PCA) comprehensively analyzed all quantitative traits and extracted seven principal components. Grey relational analysis (GRA) highlighted the varied contributions of different traits to yield. Through systematic cluster analysis (SCA), the resources were categorized into six groups at Euclidean distance of 17.09. K-mean cluster analysis determined the distribution interval and central value of each trait, then identified fi ed resources with desirable traits. Conclusion: The results revealed resources that possess characteristics such as upthrow seedling leaves, more tillers and branches, larger and well-formed ears, and lodging resistance prefer to higher grain yield. It was also discovered that the subear internode length (SIL) could be an indicator for maturity selection. Four specific fi c resources, namely, Dungu No. 1, Xiao-li-xiang, Basen Shengu, and Yuhuanggu No. 1, were identified fi ed for further breeding and practical applications.

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