Genetic diversity analysis of phenotypic and agronomic traits in oat germplasm resources

The evaluation of genetic diversity in germplasm resources is fundamental to crop breeding. A total of 183 oat germplasm resources were evaluated through field trials at Xinjin District and Shandan County, located in southern and northern China, respectively. Phenotypic and agronomic traits were assessed, including six qualitative and sixteen quantitative characteristics. Results revealed significant variation in panicle attitude and grain color, based on the statistical analysis using SPSS. Among the sixteen quantitative traits, coefficient of variation ranged from 4.92% to 48.02% with the second internode thickness exhibiting the highest genetic diversity index. Correlation analysis of sixteen quantitative traits was performed using R Studio, and the results indicated significant positive relationships between grain weight and several ear characteristics, including spikelet number, ear length, layer numbers, and grain numbers per ear. Principal component analysis categorized the sixteen quantitative phenotypic traits into five independent factors. The structural equation modeling using SPSS-AMOS indicated that ear characteristics showed strong direct contributions to grain weight, establishing it as a key indicator for future breeding efforts. The multiple correspondence analysis by R Studio suggested that a total of nineteen oat germplasm resources showed the grain and biomass production potential across both experimental regions.

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Publication Details

Journal
Frontiers in Plant Science
Published
2025-09-02
DOI
https://doi.org/10.3389/fpls.2025.1670684
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00

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article

Genetic diversity analysis of phenotypic and agronomic traits in oat germplasm resources

René Gislum, Zhao Yan, Qingping Zhou, Zhiming Zhong et al.
Frontiers in Plant Science
Genetic Mapping and Diversity in Plants and Animals
article

Genetic diversity analysis of phenotypic and agronomic traits in oat germplasm resources

René Gislum, Zhao Yan, Qingping Zhou, Zhiming Zhong, Rong He, Bin Zhao, Hui Wang, Jiaqi Fang, Yingxia Lei, Donghai Yan, Youjun Chen
article en

Abstract

The evaluation of genetic diversity in germplasm resources is fundamental to crop breeding. A total of 183 oat germplasm resources were evaluated through field trials at Xinjin District and Shandan County, located in southern and northern China, respectively. Phenotypic and agronomic traits were assessed, including six qualitative and sixteen quantitative characteristics. Results revealed significant variation in panicle attitude and grain color, based on the statistical analysis using SPSS. Among the sixteen quantitative traits, coefficient of variation ranged from 4.92% to 48.02% with the second internode thickness exhibiting the highest genetic diversity index. Correlation analysis of sixteen quantitative traits was performed using R Studio, and the results indicated significant positive relationships between grain weight and several ear characteristics, including spikelet number, ear length, layer numbers, and grain numbers per ear. Principal component analysis categorized the sixteen quantitative phenotypic traits into five independent factors. The structural equation modeling using SPSS-AMOS indicated that ear characteristics showed strong direct contributions to grain weight, establishing it as a key indicator for future breeding efforts. The multiple correspondence analysis by R Studio suggested that a total of nineteen oat germplasm resources showed the grain and biomass production potential across both experimental regions.

Frontiers in Plant ScienceVol. 16
Gansu Agricultural University (CN), Aarhus University (DK), Slagelse Hospital (DK), Science and Technology Department of Sichuan Province (CN), Institute of Geographic Sciences and Natural Resources Research (CN), Southwest Minzu University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 75%
Genetic Mapping and Diversity in Plants and Animals
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