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1 to 10 of 29 Results
Mar 29, 2021
Gupta Rajeev; Deshpande Santosh; Srikanth Bollam; Laavanya Rayaprolu; Abhishek Rathore; Roma Rani Das; Anil Kumar V; Prasad Gandham, 2021, "Genotyping by Sequencing SNP data for Nitrogen Use Efficiency in diverse Sorghum genotypes", https://doi.org/10.21421/D2/BYZY2F, ICRISAT Dataverse, V1
This dataset includes the research on the evaluation of diverse 60 genotypes including Back-Cross derived Nested Association Mapping (BCNAM), bi-parental mapping populations, and accessions from different countries such as Nigeria, USA, Lesotho, Ethiopia, and Mali for nitrogen us...
Mar 1, 2021
Ruperao, Pradeep; Rathore, Abhishek, 2021, "Sorghum pan-genome explores the functional utility for genomic-assisted breeding to accelerate the genetic gain", https://doi.org/10.21421/D2/RIO2QM, ICRISAT Dataverse, V1
The sorghum pangenome consists of 210,805 sequences including the 10 chromosomes and 860 scaffolds sequences from the sorghum reference genome assembly v3.1.0. Additionally, 209935 assembled contig sequence from 176 sorghum accessions were the genetic gain from the pangenome asse...
Feb 25, 2021
Somegowda K Vinutha; Vemula Anilkumar; Naravula Jalaja; Rathore Abhishek; Jones Chris; Deshpande P Santosh, 2021, "Data on genetic dissection and QTL mapping of fodder quality traits in Sorghum under different water regimes", https://doi.org/10.21421/D2/3UKRCK, ICRISAT Dataverse, V1
Data on QTL analysis and identification of genomic regions or loci associated with fodder quality traits in sorghum. The genotypes along with parents were sown and DNA was isolated from leaves of each accession at 4 to 6 leaf stage using the modified Hexadecyltrimethylammonium br...
Nov 4, 2020
Victor, Allan; Mani, Vetriventhan; Ramachandran, Senthil; S, Geetha; Deshpande, Santosh; Rathore, Abhishek; Kumar, Vinod; Singh, Prabhat; Reddymalla, Surender; Azevedo C R, Vânia, 2020, "DArTSeq data on within accessions diversity of pearl millet germplasm", https://doi.org/10.21421/D2/WU4JFA, ICRISAT Dataverse, V1
This data set contains DArTSeq data of pearl millet landraces (33) and wild (3) accessions, and 25 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 de...
Nov 4, 2020
Victor, Allan; Mani, Vetriventhan; Ramachandran, Senthil; S, Geetha; Deshpande, Santosh; Rathore, Abhishek; Kumar, Vinod; Singh, Prabhat; Reddymalla, Surender; Azevedo C R, Vânia, 2020, "DArTSeq data on within accessions diversity of pigeonpea germplasm", https://doi.org/10.21421/D2/CCSOZ8, ICRISAT Dataverse, V1
This data set contains DArTSeq data of pigeonpea landraces (36), 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 ass...
Nov 4, 2020
Victor, Allan; Mani, Vetriventhan; Ramachandran, Senthil; S, Geetha; Deshpande, Santosh; Rathore, Abhishek; Kumar, Vinod; Singh, Prabhat; Reddymalla, Surender; Azevedo C R, Vânia, 2020, "DArTSeq data on within accessions diversity of sorghum germplasm", https://doi.org/10.21421/D2/DSYLHB, ICRISAT Dataverse, V1
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...
Mar 18, 2020
Vinutha K Somegowda; Prasad KVSV; Anilkumar Vemula; Jalaja Naravula; Gandham Prasad; Laavanya Rayaprolu; Abhishek Rathore; Michael Blümmel; Santosh P Deshpande, 2020, "GBS Data for concurrent improvement of sorghum fodder yield and quality under water stressed condition", https://doi.org/10.21421/D2/WHODTY, ICRISAT Dataverse, V1
The dataset contains GBS SNP marker data. The main objective of the experiment was to identify the contrasting parents using both phenotype and genotype data. The contrasting parents were identified for fodder quality under drought conditions for three years. Similar lines were i...
Mar 5, 2020
K N S Usha Kiranmayee; C. T. Hash; S Sivasubramani; P Ramu; A Bhanu Prakash; Abhishek, Rathore; P B Kavi Kishor; Rajeev Gupta; Santosh, Deshpande, 2019, "Fine mapping for shoot fly resistance and stay-green QTL's in Sorghum", https://doi.org/10.21421/D2/TO4JWO, ICRISAT Dataverse, V3
This study was conducted to dissect the genetic basis of stay-green Quantitative Trait Loci (QTL) and shoot fly resistance morphological QTLs on sorghum chromosome SBI-10 long arm (L) using high-density single nucleotide polymorphism (SNP) genetic markers. A fine-mapping populati...
Dec 27, 2019
Sunil Chaudhari; Dhirendra Khare; Murali T Variath; Manish K. Pandey; Pasupuleti Janila, 2019, "Data for Molecular Diversity for Resistance to Foliar Fungal Diseases and Nutritional Quality Traits in Genomic Selection Training Population of Groundnut", https://doi.org/10.21421/D2/ZWQYSS, ICRISAT Dataverse, V1
This dataset has information about molecular diversity in a set of 336 genotypes of the genomic selection training population (GSTP) comprising 223 individuals from ssp. fastigiate and 113 from ssp. hypogaea were performed with 14 SSR markers linked to rust, late leaf spot (LLS),...
Dec 11, 2019
Rakesh K. Srivastava, 2019, "DArT seq data generated on Mapping population for high Iron and Zinc in Pearl Millet", https://doi.org/10.21421/D2/D8DAZS, ICRISAT Dataverse, V1
This dataset contains data of the study aimed to construct an integrated genetic map using genetic stock developed for high Iron and Zinc density over a period of five years at ICRISAT Patancheru which is used for the development of DArT Seq Dataset. Diversity Arrays Technology (...
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