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"Quantitative traits"

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"Quantitative traits"

Research Articles
Phenotypic Characteristics of Quantitative Traits in an Everbearing Strawberry F₁ Population
Iyeong Choi, Young Hun Lee
Plant Breed. Biotech. 2025;13:229-242.
Published online October 28, 2025
DOI: https://doi.org/10.9787/PBB.2025.13.229

Everbearing strawberry cultivars provide fruit during the summer–fall period when June-bearing strawberries are unavailable, but their breeding progress has been constrained by complex trait interactions. To characterize segregation patterns and evaluate phenotypic diversity, we developed an F₁ population from a cross between two everbearing cultivars, ‘Charlotte’ and ‘Flamenco’. Twenty selected progenies were evaluated for 30 quantitative traits encompassing vegetative vigor, inflorescence structure, fruit morphology, firmness, and biochemical composition. Substantial variation was observed among lines, with several individuals exceeding parental performance for key traits such as fruit size, soluble solids content, and sucrose accumulation. Principal component analysis revealed three major axes of variation: fruit composition (sugars and acids), vegetative vigor, and fruit size and morphology. K-means clustering grouped the progeny into three phenotypic classes, representing high-sugar, large-fruited, or vigorous growth types. Notably, some lines combined favorable attributes across classes, such as high sweetness and large fruit, indicating the potential to overcome typical trade-offs between yield and quality. These findings provide a practical framework for breeding selection and highlight superior progeny as immediate candidates for clonal advancement or as parents in future crossing. The results also establish a foundation for integrating phenotypic classifications with molecular tools to accelerate the development of high-value everbearing strawberries.

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Morphological Variation in Normal Maize Landrace Accessions Collected from South Sudan
Emmanuel Andrea Mathiang, Kyu Jin Sa, Hyeon Park, So Jung Jang, Ju Kyong Lee
Plant Breed. Biotech. 2023;11(1):15-24.   Published online March 1, 2023
DOI: https://doi.org/10.9787/PBB.2023.11.1.15

Morphological variation was investigated among 31 maize landrace accessions collected from the fields of various farmers in South Sudan by examining 7 quantitative agronomic characteristics. A significant positive correlation was found between days to tasseling (DT) and days to silking (DS), between plant height (PH) and ear height (EH) and stem width (SW), and between EH and SW and leaf length (LL). First and second principal components accounted for 69% of the total variance (40.9% and 28.6%, respectively). PH, EH, SW, LL, and leaf width (LW) were clearly characterized in a positive direction on the first axis. DT and DS were clearly characterized in a positive direction on the second axis. A scatter plot based on phenotypic data revealed the existence of 3 groups based on the most discriminating characteristics: Group I included 5 maize landrace accessions, Group II comprised 14 maize landrace accessions, and Group III included 10 maize landrace accessions. In principal component analysis, generally the investigated genotypes were not clearly grouped into their geographical origins owing to a weak geographic relationship among the accessions. In conclusion, even though the morphological characterization studies were conducted in the South Korean climate, this study revealed significant phenotypic variation among the explored maize landrace accessions collected from South Sudan. Therefore, this information about phenotypic divergence may be very useful for future breeding research programs as well as for genetic improvement of South Sudan maize accessions.

Citations

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  • Phylogenetic analysis of Perilla crop (Perilla frutescens L.) based on morphological characteristics and volatile substances
    Jungeun Cho, Hyeon Park, Tae Hyeon Heo, Kyu Jin Sa, Ju Kyong Lee
    Genetic Resources and Crop Evolution.2025; 72(3): 2959.     CrossRef
  • Uncovering microsatellite markers associated with agronomic traits of South Sudan landrace maize
    Emmanuel Andrea Mathiang, Hyeon Park, So Jung Jang, Jungeun Cho, Tae Hyeon Heo, Ju Kyong Lee
    Genes & Genomics.2023; 45(12): 1587.     CrossRef
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