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A Sampling Strategy to Develop a Primary Core Collection of Miscanthus spp. in China Based on Phenotypic Traits

文献类型： 外文期刊

作者： Liu, Shuling 1 ; Zheng, Cheng 2 ; Xiang, Wei 3 ; Yi, Zili 1 ; Xiao, Liang 1 ;

作者机构： 1.Hunan Agr Univ, Coll Biosci & Biotechnol, Changsha 410128, Peoples R China

2.Hunan Agr Univ, Coll Agron, Changsha 410128, Peoples R China

3.Hunan Acad Agr Sci, Crop Res Inst, Changsha 410128, Peoples R China

4.Hunan Agr Univ, Hunan Engn Lab Ecol Applicat Miscanthus Resources, Changsha 410128, Peoples R China

关键词： core collection; flora distribution; Miscanthus phenotypic trait

期刊名称：AGRONOMY-BASEL （ 影响因子：3.949； 五年影响因子：4.117 ）

ISSN：

年卷期： 2022 年 12 卷 3 期

页码：

收录情况： SCI

摘要： Core collections can act as a genetic germplasm resource for biologists and breeders. Thirty-seven phenotypic traits from 471 Miscanthus accessions in China were used to design 203 sampling schemes to screen the genetic variations in different sampling strategies. The sampling was analyzed using the unweighted pair group method with arithmetic mean (UPGMA) and the Euclidean distance (Euclid). Several parameters including the variance of phenotypic value (VPV), Shannon-Weaver diversity index (H), coefficient of variation (CV), variance of phenotypic frequency (VPF), ratio of phenotype retained (RPR), the mean difference percentage (MD%) and the variance difference percentage of traits (VD%), the range coincidence rate (CR%) and the variable rate of quantitative traits (VR%) were used to evaluate the level of representation of the primary core collections developed by the different sampling schemes. Based on the optimal sampling strategies of prior selecting accessions, a primary core collection was constructed that maintained > 99.5% of the VPV and a CR% of 100%. This study indicates that the optimal sampling scheme consisted of prior and deviation sampling methods (PD) combined with a logarithmic proportional sampling strategy (LG) of 37.4% of the actual sampling ratio. Sampling before clustering can improve several parameters including the H, CV, RPR, VPF, and CR%. Sampling strategies including the genetic diversity index (G), logarithmic proportional (LG) and the square root proportional strategy (SG) can improve the H, whilst the constant strategy (C) can improve the RPR and VPF when the sampling scale was >30%. Furthermore, the proportional strategy (P) can improve the VPV.

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