Genetic diversity of Turkish colored maize landraces assessed by simple sequence repeat (SSR) markers


Yildirim E., KAHRIMAN F., MATUR F.

GENETIC RESOURCES AND CROP EVOLUTION, cilt.72, sa.8, ss.9623-9634, 2025 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 72 Sayı: 8
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1007/s10722-025-02522-9
  • Dergi Adı: GENETIC RESOURCES AND CROP EVOLUTION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Geobase, Veterinary Science Database
  • Sayfa Sayıları: ss.9623-9634
  • Anahtar Kelimeler: <italic>Zea mays</italic>, Landraces, Maize, SSR, Genetic diversity
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Assessing genetic diversity in maize landraces is critical for conserving genetic resources and unlocking their potential for use in breeding programs. This study investigated the genetic diversity of 34 Turkish colored maize landraces using 28 simple sequence repeat (SSR) markers. Genetic variation was evaluated through gene differentiation and fixation index (Fst) analysis, complemented by Nei's gene diversity index (h), Jaccard similarity index (J), and unweighted pair group method with arithmetic mean (UPGMA) to examine genetic relationships among populations. The SSR markers exhibited high polymorphic informativeness and discrimination power, highlighting their effectiveness in assessing genetic diversity. The analysis revealed expected heterozygosity (He) values ranging from 0.1023 to 0.8832, Nei's gene diversity index (h) of 0.5458, Shannon's diversity index (I) of 1.0338, and Jaccard similarity index (J) values between 0.06 and 0.289, indicating substantial genetic variation among the landraces. These findings demonstrate the significant genetic diversity present in Turkish colored maize landraces and underscore their value as a genetic reservoir for breeding programs focused on agronomic or quality traits. Integrating these results with field performance evaluations may offer valuable insights and contribute to the development of improved maize cultivars.