Automated Organization ProfileTNAU
TNAU
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 14.0 (sum of 18 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Angiogenic and Anti angiogenic foods for cancer
Authors
- Dr.V.Meenakshi
This data set contains single nucleotide polymorphism (SNP) markers identified by genotyping by sequencing (GBS) approach, and was used to identify marker-trait association for forage quality traits crude protein (CP) and in vitro organic matter digestibility (IVOMD) among 105 forage type hybrid parents. The DNA of 105 hybrid parents was genotyped using GBS by digesting DNA with ApeKI endonuclease restriction enzyme. PCR (Polymerase chain reaction) amplification of pooled amplicons was carried out before sequencing on Illumina Hiseq2500 platform. Raw sequencing reads and barcode information were processed for SNP identification from the published pearl millet reference genome using TASSEL v4.0 software. Barcode containing reads were retained and used for SNP calling. These reads were trimmed to 64 bp from barcode side, aligned against each other and used for SNP identification. The identified SNPs were assigned to each hybrid parent based on the information of the barcode sequence. Further, the SNP data were filtered with minor allele frequency (MAF) cut off of 0.10 (10%) and SNP with ≥25% missing data. These were further filtered for site coverage (90%), minor allele frequency (0.05), and maximum heterozygosity (50%); 34, 691 SNPs were identified and used for the GWAS analysis. One SNP was identified on LG4 for CP, and nine SNPs for IVOMD distributed across all linkage groups except on LG2. Results generated from this study could help breeders to improve the forage productivity in their breeding programs. Experiment location on Google Map Experiment location on Google Map
Authors
- Ponnaiah, Govintharaj ;
- Gupta, Shashi Kumar ;
- Marappa, Maheswaran ;
- Michael, Blümmel ;
- Pichaikannu, Sumathi ;
- Vemula, Anilkumar ;
- Rathore, Abhishek ;
- Selvanayagam, Sivasubramani ;
- Kale, Sandip Mallikarjun ;
- Varshney, Rajeev Kumar
:unav
Authors
- Ponnaiah, Govintharaj ;
- Gupta, Shashi Kumar ;
- Marappa, Maheswaran ;
- Michael, Blümmel ;
- Pichaikannu, Sumathi ;
- Vemula, Anilkumar ;
- Rathore, Abhishek ;
- Selvanayagam, Sivasubramani ;
- Kale, Sandip Mallikarjun ;
- Varshney, Rajeev Kumar
:unav
Authors
- Ponnaiah, Govintharaj ;
- Gupta, Shashi Kumar ;
- Marappa, Maheswaran ;
- Michael, Blümmel ;
- Pichaikannu, Sumathi ;
- Vemula, Anilkumar ;
- Rathore, Abhishek ;
- Selvanayagam, Sivasubramani ;
- Kale, Sandip Mallikarjun ;
- Varshney, Rajeev Kumar
:unav
Authors
- Victor, Allan ;
- Mani, Vetriventhan ;
- Ramachandran, Senthil ;
- S, Geetha ;
- Deshpande, Santosh ;
- Rathore, Abhishek ;
- Kumar, Vinod ;
- Singh, Prabhat ;
- Reddymalla, Surender ;
- Azevedo C R, Vânia
This data set contains DArTSeq data of sorghum landraces (31) and wild (5) accessions, and 15 individuals within each accession were genotyped. The main objectives of this experiment were (i) to investigate the extent of diversity within and among accessions using DArTSeq derived SNPs, and (ii) to assess the minimum sample (population) size required to capture 95% of the alleles with an expected probability of 95%, from the least frequent allele or the frequency of the rarest allele for each accession. Data is in the DArT format as provided by Diversity Arrays Technology (DArT), Australia. The scope of this study aims to benefit genebank curators in understanding the dynamics of the population within and among accessions and devising proper sampling strategies (sample size) while regeneration, for effective genebank management and their utilization in crop improvement.
Authors
- Victor, Allan ;
- Mani, Vetriventhan ;
- Ramachandran, Senthil ;
- S, Geetha ;
- Deshpande, Santosh ;
- Rathore, Abhishek ;
- Kumar, Vinod ;
- Singh, Prabhat ;
- Reddymalla, Surender ;
- Azevedo C R, Vânia
:unav
Authors
- Victor, Allan ;
- Mani, Vetriventhan ;
- Ramachandran, Senthil ;
- S, Geetha ;
- Deshpande, Santosh ;
- Rathore, Abhishek ;
- Kumar, Vinod ;
- Singh, Prabhat ;
- Reddymalla, Surender ;
- Azevedo C R, Vânia
:unav
Authors
- Victor, Allan ;
- Mani, Vetriventhan ;
- Ramachandran, Senthil ;
- S, Geetha ;
- Deshpande, Santosh ;
- Rathore, Abhishek ;
- Kumar, Vinod ;
- Singh, Prabhat ;
- Reddymalla, Surender ;
- Azevedo C R, Vânia
:unav
Authors
- Victor, Allan ;
- Mani, Vetriventhan ;
- Ramachandran, Senthil ;
- S, Geetha ;
- Deshpande, Santosh ;
- Rathore, Abhishek ;
- Kumar, Vinod ;
- Singh, Prabhat ;
- Reddymalla, Surender ;
- Azevedo C R, Vânia
:unav
Authors
- Victor, Allan ;
- Mani, Vetriventhan ;
- Ramachandran, Senthil ;
- S, Geetha ;
- Deshpande, Santosh ;
- Rathore, Abhishek ;
- Kumar, Vinod ;
- Singh, Prabhat ;
- Reddymalla, Surender ;
- Azevedo C R, Vânia