Automated Author ProfileBozhanova, Violeta
Bozhanova, Violeta
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The genetic variation and population structure of a panel of 90 durum wheat (Triticum durum desf.) consisting of 62 varieties and breeding lines originating from two agro-ecological zones in Bulgaria (Northern and Southern Bulgaria) and 28 introduced varieties from South–western, Central and Eastern Europe, and the USA were determined by 34 microsatellite markers (SSR). The genetic diversity in the modern durum wheat was 0.5612 with 6.88 alleles per locus. Model-based population STRUCTURE analysis identified two sub-populations (K = 2) separating the South Bulgarian varieties (SP1) from all others (SP2), including South-Western, Central-Eastern European and North Bulgarian ones. Subsequent genetic structure analysis at K = 4 revealed an additional division of each sub-population into two (SP1-2, SP1-4, SP2-1, SP2-3). DAPC analysis and UPGMA dendrogram based on SSR data were in excellent agreement with the Subpopulations defined by STRUCTURE analysis. The Principal Component Analysis (PCA) revealed that among the studied 5 agronomically important traits the correlation between grain yield and plant height was the highest and distinguished 10 varieties and advanced breeding lines from Southern Bulgaria (SP1-2 and SP1-4) as most promising in regard to yield stability. This study showed a good relationship between the genetic and phenotypic population structures according to the division of the genotypes by their agro-geographical origin. It will be useful for both breeders and farmers and could serve as a fundament for durum wheat improvement programs under drought prone environmental conditions.
Authors
- Christov, Nikolai Kirilov ;
- Tsonev, Stefan ;
- Dragov, Rangel ;
- Taneva, Krasimira ;
- Bozhanova, Violeta ;
- Todorovska, Elena Georgieva
The genetic variation and population structure of a panel of 90 durum wheat (Triticum durum desf.) consisting of 62 varieties and breeding lines originating from two agro-ecological zones in Bulgaria (Northern and Southern Bulgaria) and 28 introduced varieties from South–western, Central and Eastern Europe, and the USA were determined by 34 microsatellite markers (SSR). The genetic diversity in the modern durum wheat was 0.5612 with 6.88 alleles per locus. Model-based population STRUCTURE analysis identified two sub-populations (K = 2) separating the South Bulgarian varieties (SP1) from all others (SP2), including South-Western, Central-Eastern European and North Bulgarian ones. Subsequent genetic structure analysis at K = 4 revealed an additional division of each sub-population into two (SP1-2, SP1-4, SP2-1, SP2-3). DAPC analysis and UPGMA dendrogram based on SSR data were in excellent agreement with the Subpopulations defined by STRUCTURE analysis. The Principal Component Analysis (PCA) revealed that among the studied 5 agronomically important traits the correlation between grain yield and plant height was the highest and distinguished 10 varieties and advanced breeding lines from Southern Bulgaria (SP1-2 and SP1-4) as most promising in regard to yield stability. This study showed a good relationship between the genetic and phenotypic population structures according to the division of the genotypes by their agro-geographical origin. It will be useful for both breeders and farmers and could serve as a fundament for durum wheat improvement programs under drought prone environmental conditions.
Authors
- Christov, Nikolai Kirilov ;
- Tsonev, Stefan ;
- Dragov, Rangel ;
- Taneva, Krasimira ;
- Bozhanova, Violeta ;
- Todorovska, Elena Georgieva