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    Researchers identified three simple sequence repeat (SSR) markers linked to seven traits in a wild *P. simonii* population. These markers can aid in optimizing marker-assisted selection for improved breeding programs.

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    Area of Science:

    • Plant genetics
    • Quantitative trait loci (QTL) analysis
    • Population genetics

    Background:

    • Understanding the genetic basis of phenotypic variation is crucial for optimizing marker-assisted selection in plant breeding.
    • Quantitative traits, including morphological and physiological traits, are often difficult to map due to complex inheritance.
    • Association mapping using linkage disequilibrium is a powerful tool for identifying genes underlying quantitative traits in plants.

    Purpose of the Study:

    • To identify marker loci associated with morphological and physiological traits in a wild *P. simonii* population.
    • To evaluate the suitability of this population for association mapping studies.
    • To provide markers for future marker-assisted selection (MAS) breeding strategies.

    Main Methods:

    • Employed association analysis with 20 simple sequence repeat (SSR) markers.
    • Utilized a population of 528 wild *P. simonii* individuals sampled from 16 sites.
    • Applied a statistical model controlling for population structure (Q) and relative kinship (K).

    Main Results:

    • Identified three SSR markers (GCPM_616-1, GCPM_4055-2, GCPM_3142) linked to seven traits.
    • GCPM_616-1 was associated with five morphological traits (R2 = 5.14-10.09%).
    • GCPM_3142 and GCPM_4055-2 were associated with one morphological and one physiological trait, respectively (R2 = 15.03% and 13.26%).

    Conclusions:

    • The wild *P. simonii* population is well-suited for association mapping.
    • The identified SSR markers are valuable for marker-assisted selection and future gene/QTL discovery.
    • These findings contribute to advancing breeding programs through precise genetic selection.