Automated Author ProfileDjabbarov, Ibrohim Sh.
Djabbarov, Ibrohim Sh.
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: 1.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Soil salinity is a major abiotic stress that severely limits chickpea (Cicer arietinum L.) productivity, especially in semi-arid regions such as Uzbekistan. This study evaluated 50 chickpea accessions under optimal and naturally saline field conditions, combining phenotypic analysis with SSR marker-based genetic diversity and in silico mapping to identify tolerant germplasm. Significant phenotypic variation was observed and several genotypes (e.g., ‘Malxotra’, ‘Guliston’, ‘Lazzat’, ‘Iftikhor’, ‘SSA−2’, ‘SSA−10’) were identified as highly salt-tolerant. Under salinity stress, seed weight per plant showed strong positive correlations with pod number (r = 0.63***) and seed number (r = 0.69***). Genetic diversity assessed using 37 polymorphic SSR markers revealed 148 alleles, averaging 3.8 alleles per locus. The mean polymorphism information content (PIC) was 0.37 (ranging from 0.21 to 0.63), with the highest expected heterozygosity (He = 0.69) detected for markers H1C22, STMS22, and TR20. In silico analysis localized these markers to salt-tolerance associated regions on chromosomes, identifying candidate genes encoding LEA proteins, ion transporters, kinases, and redox regulators. These fundings, particularly the identified tolerant genotypes and associated markers, provide a valuable foundation for marker-assisted selection and the development of salt-tolerant chickpea cultivars.
Authors
- Tolibova, Zevar H. ;
- Qulmamatova, Dilafruz E. ;
- Matkarimov, Farrukh I. ;
- Kholliyev, Oybek E. ;
- Adilova, Shokhista Sh. ;
- Sanaev, Normumin N. ;
- Hojiyeva, Nigina H. ;
- Mardonova, Saodat M. ;
- Djabbarov, Ibrohim Sh. ;
- Salomov, Bokhodir S. ;
- Umirov, Nemat J. ;
- Ernazarova, Dilrabo K. ;
- Turaev, Ozod S. ;
- Raimova, Guli M. ;
- Kushanov, Fakhriddin N. ;
- Baboev, Saidmurat K.
Soil salinity is a major abiotic stress that severely limits chickpea (Cicer arietinum L.) productivity, especially in semi-arid regions such as Uzbekistan. This study evaluated 50 chickpea accessions under optimal and naturally saline field conditions, combining phenotypic analysis with SSR marker-based genetic diversity and in silico mapping to identify tolerant germplasm. Significant phenotypic variation was observed and several genotypes (e.g., ‘Malxotra’, ‘Guliston’, ‘Lazzat’, ‘Iftikhor’, ‘SSA−2’, ‘SSA−10’) were identified as highly salt-tolerant. Under salinity stress, seed weight per plant showed strong positive correlations with pod number (r = 0.63***) and seed number (r = 0.69***). Genetic diversity assessed using 37 polymorphic SSR markers revealed 148 alleles, averaging 3.8 alleles per locus. The mean polymorphism information content (PIC) was 0.37 (ranging from 0.21 to 0.63), with the highest expected heterozygosity (He = 0.69) detected for markers H1C22, STMS22, and TR20. In silico analysis localized these markers to salt-tolerance associated regions on chromosomes, identifying candidate genes encoding LEA proteins, ion transporters, kinases, and redox regulators. These fundings, particularly the identified tolerant genotypes and associated markers, provide a valuable foundation for marker-assisted selection and the development of salt-tolerant chickpea cultivars.
Authors
- Tolibova, Zevar H. ;
- Qulmamatova, Dilafruz E. ;
- Matkarimov, Farrukh I. ;
- Kholliyev, Oybek E. ;
- Adilova, Shokhista Sh. ;
- Sanaev, Normumin N. ;
- Hojiyeva, Nigina H. ;
- Mardonova, Saodat M. ;
- Djabbarov, Ibrohim Sh. ;
- Salomov, Bokhodir S. ;
- Umirov, Nemat J. ;
- Ernazarova, Dilrabo K. ;
- Turaev, Ozod S. ;
- Raimova, Guli M. ;
- Kushanov, Fakhriddin N. ;
- Baboev, Saidmurat K.