| Title: | Genetska struktura in raznolikost nekaterih tradicionalnih genotipov sliv (Prunus domestica L., Prunus cerasifera Ehrh. in Prunus spinosa L.) : doktorska disertacija |
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| Authors: | ID Ternjak, Tina (Author)
ID Šušek, Andrej (Mentor) More about this mentor... 
ID Šiško, Metka (Comentor)
ID Quero, Garcia José (Comentor)
ID Stajnko, Denis (Member of the commission for defense) |
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| Files: |  DOK_Ternjak_Tina_2024.pdf (12,26 MB)
MD5: 7ADA973A826F383235EE79C90191A330
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| Language: | English |
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| Work type: | Doctoral dissertation |
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| Typology: | 2.08 - Doctoral Dissertation |
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| Organization: | FKBV - Faculty of Agriculture and Life Sciences
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| Abstract: | Slovenia has a unique blend of climatic, soil, geographic and historical factors that fostered a rich tradition of plum cultivation and utilization. This study was set up to achieve following objectives: 1. assess the genetic diversity of 124 accessions of the three Prunus species (P. domestica L., P. cerasifera Ehrh., and P. spinosa L.); explore the possible contribution of P. cerasifera and P. spinosa to the ancestry of P. domestica; examine the genetic relationships and variability among the prevalent P. domestica material distributed in Slovenia. A combination of genetic markers, including 11 SSRs (UDP96-005, BPPCT034, EMPAS12, UCD-CH17, EMPAS06, EMPAS11, EMPAS14, BPPCT014, BPPCT025, CPSCT026 and CPPCT006) and three universal cpDNA markers (HK, K1K2 and VL), were chosen alongside flow cytometry. The analysis identified ten cpDNA haplotypes, which were grouped into three clusters using Unweighted Neighbor-Joining (NJ) analysis. All 11 SSR primer pairs exhibited polymorphism, revealing 116 unique genotypes and a total of 328 alleles, indicating considerable diversity with an average of 29.82 alleles per locus. Bayesian analysis distinguished two ancestral populations across all analyzed species. Principal Coordinate Analysis (PCoA) reflected the clustering observed in the Bayesian analysis. When analyzing individual set of P. domestica material, Bayesian analysis also distinguished two ancestral populations across, with PCoA confirming the results of Bayesian analysis. The NJ analysis categorized 71 P. domestica accessions into three clusters with numerous subgroups, reflecting a high genetic diversity. The majority of accessions aligned with traditional pomological groups, such as common prunes, mirabelle plums and greengages.
Genetic diversity parameters were analyzed for the 42 diploid P. cerasifera genotypes. A relatively high diversity levels were found, resulting in 135 alleles, with high average values for alleles per locus (10.38), effective number of alleles (Ne = 5.22), expected heterozygosity (He = 0.77), observed heterozygosity (Ho = 0.64) and PIC value (0.754). In addition, 32 private alleles were found in 20 accessions. Bayesian analysis of the P. cerasifera material revealed three ancestral populations, corroborated by Principal Coordinate Analysis, while an NJ analysis grouped the accessions into three clusters based on the origin of the accession. This study identified valuable local landraces within the P. domestica pool, including traditional prunes or Bluish plums, which are of great genetic interest. Furthermore, the integration of complementary methods facilitated the differentiation of the three species and provided insights into the origin of plum. The findings will be crucial in comprehending the diversity of Slovenian plum germplasm, improving conservation efforts, recovering local genotypes and enriching existing collections of plant genetic resources. |
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| Keywords: | Prunus spp., plum, genetic resources, genetic diversity, genetic structure, cpDNA, SSR |
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| Place of publishing: | Maribor |
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| Place of performance: | Maribor |
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| Publisher: | T. Ternjak |
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| Year of publishing: | 2024 |
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| Number of pages: | XIV, 158 str., pril. |
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| PID: | 20.500.12556/DKUM-87774 |
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| UDC: | 582.634.41:575:577.21(043.3)=111 |
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| COBISS.SI-ID: | 202532355 |
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| Publication date in DKUM: | 24.07.2024 |
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| Views: | 160 |
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| Downloads: | 55 |
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| Metadata: |    |
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| Categories: | FKBV
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