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Article

Association Mapping Analysis of Morphological Characteristics in F2 Population of Perilla (Perilla frutescens L.) Using SSR Markers

1
Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon 24341, Republic of Korea
2
Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24341, Republic of Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Plants 2025, 14(17), 2799; https://doi.org/10.3390/plants14172799
Submission received: 14 August 2025 / Revised: 3 September 2025 / Accepted: 4 September 2025 / Published: 6 September 2025
(This article belongs to the Special Issue Crop Genome Sequencing and Analysis)

Abstract

To identify SSR markers associated with both quantitative and qualitative traits in Perilla, we analyzed a total of 68 individuals from an F2 population derived from a cross between WPC06-339 (weedy var. crispa) and WPF17-049 (weedy var. frutescens) using 40 SSR primer sets. The genetic diversity of these markers ranged from 0.464 to 0.676, with a mean value of 0.607. Correlation analysis of 13 morphological traits (4 qualitative, 9 quantitative) revealed significant positive correlations among three leaf-related traits and two inflorescence-related traits. Association analysis involving 40 SSR markers and the 13 morphological traits identified 39 significant marker–trait associations, comprising 18 SSR markers associated with 11 morphological traits. Among these SSR markers, 12 were associated with two to five quantitative or qualitative traits. Additionally, 10 SSR markers were significantly associated with three qualitative traits, while 15 SSR markers were associated with eight quantitative traits. Notably, GBPFM179, KNUPF59, and KNUPF167 were significantly associated with multiple quantitative or qualitative traits. GBPFM179 and KNUPF182 exhibited the highest R2 values, of 0.38, for stem color and days to maturity, respectively. These SSR markers demonstrate the potential for use in marker-assisted selection in Perilla breeding programs aimed at enhancing leaf or seed productivity through the selection of both quantitative and qualitative traits.
Keywords: Perilla frutescens; quantitative traits; qualitative traits; marker-assisted selection; Perilla breeding program Perilla frutescens; quantitative traits; qualitative traits; marker-assisted selection; Perilla breeding program

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MDPI and ACS Style

Heo, T.H.; Park, H.; Cho, J.; Lee, D.H.; Lee, J.K. Association Mapping Analysis of Morphological Characteristics in F2 Population of Perilla (Perilla frutescens L.) Using SSR Markers. Plants 2025, 14, 2799. https://doi.org/10.3390/plants14172799

AMA Style

Heo TH, Park H, Cho J, Lee DH, Lee JK. Association Mapping Analysis of Morphological Characteristics in F2 Population of Perilla (Perilla frutescens L.) Using SSR Markers. Plants. 2025; 14(17):2799. https://doi.org/10.3390/plants14172799

Chicago/Turabian Style

Heo, Tae Hyeon, Hyeon Park, Jungeun Cho, Da Hyeon Lee, and Ju Kyong Lee. 2025. "Association Mapping Analysis of Morphological Characteristics in F2 Population of Perilla (Perilla frutescens L.) Using SSR Markers" Plants 14, no. 17: 2799. https://doi.org/10.3390/plants14172799

APA Style

Heo, T. H., Park, H., Cho, J., Lee, D. H., & Lee, J. K. (2025). Association Mapping Analysis of Morphological Characteristics in F2 Population of Perilla (Perilla frutescens L.) Using SSR Markers. Plants, 14(17), 2799. https://doi.org/10.3390/plants14172799

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