ArticleMolecular biology reports2021
Assessment of genetic diversity of pumpkins (Cucurbita spp.) from western Kenya using SSR molecular markers.
Article in Molecular biology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 16 citations in OpenAlex.
- Phenological synchrony, parental contribution, and effective pollen dispersal patterns affect the genetic composition of Cupressus funebris dwarf seed orchard progenies.BMC plant biology · 2026Article
- Whole-genome simple sequence repeat development and genetic diversity analysis of sponge gourd (PeerJ · 2026Article
- Comparative complete chloroplast genome analysis ofFrontiers in plant science · 2026Article
- Salt Stress Leads to Morphological and Transcriptional Changes in Roots of Pumpkins (Plants (Basel, Switzerland) · 2025Article
- Development of EST-SSR markers based on transcriptome sequencing for germplasm evaluation of 65 lilies (Lilium).Molecular biology reports · 2023Article
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4 authors at 2 institutions in 1 country.
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Abstract
Pumpkins (Cucurbita spp.) are among most neglected and underutilized crops cultivated for food and medicine. The major constraint to pumpkin production is lack of genetically improved seeds. The current study was aimed at evaluating the genetic diversity of pumpkins from eight counties in western Kenya using five SSR markers. Seeds were extracted from pumpkin fruits, dried and planted on plastic trays for 4 weeks. DNA was isolated from young leaves using CTAB method and amplified. The samples were genotyped using an ABI 3730 genetic analyzer and the allelic data analyzed using Power Marker V 3.25, DARwin V 6.0.12 and GenAIEx V 6.41software. The five SSR loci were polymorphic with a total of 33 alleles and a mean PIC value of 0.534. The gene diversity and observed heterozygosity was 0.796-0.329 and 0.967-0.164, respectively. Most of genetic variations were found within and among individual samples rather than among counties, with samples of some counties having private alleles. Based on the inbreeding coefficient (F), there was outbreeding in pumpkins from Kakamega county (F = - 0.282) and inbreeding in pumpkins from Kisii, Bungoma and Nyamira counties (F = 0.500, 0.409 and 0.286 respectively). The findings of this study suggest that genetic variation and distribution of pumpkins in western Kenya was due to monocropping and intercropping farming systems, trading of pumpkins in markets and exchange of seeds among local farmers rather than geographical and climatic differences.
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