1 to 10 of 415 Results
Dec 12, 2019 - Phenotypic
Gopalakrishnan, Subramaniam; Srinivas V; Anilkumar Vemula; Srinivasan, Samineni; Abhishek, Rathore, 2019, "Data about influence of diazotrophic bacteria on nodulation, nitrogen fixation, growth promotion and yield traits in five cultivars of Chickpea", https://doi.org/10.21421/D2/AHLEGS, ICRISAT Dataverse, V1, UNF:6:uRokq2eifgVwYu4I9WVJRg==
The Dataset has data about three bacteria, IC-59, IC-76A and IC-2002, isolated from the nodules of chickpea, were characterized for nodulation, nitrogen fixation, plant growth-promoting (PGP) and yield traits in five cultivars of chickpea such as BG256, RSG888, Subhra, K850 and I... |
Dec 11, 2019 - Phenotypic
Sobhan, Sajja, 2019, "Data of Finger millet adaptation in Kharif 2018 at ICRISAT, Patancheru.", https://doi.org/10.21421/D2/3ZAFKV, ICRISAT Dataverse, V1, UNF:6:DVF2R+BK0QPfHSap3MtjwA==
Sequential observations of agronomically important traits in finger millet crop during the cropping season, Kharif 2018 Experimental location on Google Map |
Dec 11, 2019 - Phenotypic
Sobhan, Sajja, 2019, "Data of Finger millet adaptation in Kharif 2017 at ICRISAT, Patancheru.", https://doi.org/10.21421/D2/VVAB8E, ICRISAT Dataverse, V1, UNF:6:nn2qTpPCMc3cpsPSbk+y6A==
Sequential observations of agronomically important traits during cropping season for finger millet crop during Kharif 2017 Experimental location on Google Map |
Dec 11, 2019 - Genotypic
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 (... |
Dec 10, 2019 - Phenotypic
Shivali Sharma, 2019, "Data on Multilocation trial of wild cajanus species derived introgression lines during 2016 rainy season Patancheru, ICRISAT", https://doi.org/10.21421/D2/NJZXJN, ICRISAT Dataverse, V2, UNF:6:wDE8FOtBcsSy6PYIx04BKQ==
This dataset contains data of a multi-location trial conducted at International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru location for five agronomic traits viz., days to 50% flowering (DF50), days to maturity (DM), plant height (PH), 100-seed weigh... |
Nov 20, 2019 - Genotypic
Rajeev K. Varshney; Mahendar Thudi; Spurthi N. Nayak; Pooran M.Gaur; Junichi Kashiwagi; L. Krishnamurthy; Deepa Jaganathan; Abhishek Bohra; Shailesh Tripathi; Abhishek, Rathore; Aravind K. Jukanti; Veera Jayalakshmi; Anil kumar V; S. J. Singh; Mohammad Yasin; M. S. Sheshshayee; K. P. Viswanatha, 2019, "Genetic dissection of drought tolerance in chickpea (Cicer arietinum L.)", https://doi.org/10.21421/D2/ADJSXL, ICRISAT Dataverse, V1
Screening of 2,717 SSR markers on the parental lines resulted in identification of 321 and 230 polymorphic markers on ICCRIL03 and ICCRIL04, respectively (Lichtenzveig et al. 2005; Varshney et al. 2009; Nayak et al. 2010; Gujaria et al. 2011; Thudi et al. 2011; ESM Table S2). The... |
Oct 31, 2019 - Genotypic
Santosh P Deshpande; Laavanya Rayaprolu; Rajeev Gupta; Abhishek, Rathore, 2019, "Genome-wide association study for major biofuel traits in Sorghum minicore collection", https://doi.org/10.21421/D2/GGXBNP, ICRISAT Dataverse, V2
This dataset includes the research work on the evaluation of sorghum mini-core accessions for biofuel traits. This raw sequence data obtained from Genotyping-By-Sequencing (GBS) was originally used for a publication Morris et al. (PNAS 2013:110-2 pp:453-458) by mapping the sequen... |
Oct 9, 2019
Precious Makana; Chamuka, Thebulo, 2019, "Farmer’s choice and adoption of Rainwater Harvesting Technologies: Empirical Evidence from Malawi", https://doi.org/10.21421/D2/ATZLCE, ICRISAT Dataverse, V1
The data set including research conducted to assess farmer’s choice and adoption of Rainwater Harvesting Technologies in Malawi. The research data employed Multi-stage sampling technique randomly sample 272 households from Balaka district in Malawi. The first stage involved purpo... |
Sep 17, 2019 - Genotypic
K N S Usha Kiranmayee; P B Kavi Kishor; C. T. Hash; Santosh, Deshpande, 2019, "Evaluation of QTLs for Shoot Fly (Atherigona soccata) Resistance using 1894 F2 population based on SSR marker data", https://doi.org/10.21421/D2/45YOFR, ICRISAT Dataverse, V1
Seedling leaf blade glossiness and trichome density are morphological traits associated with shoot fly resistance (SFR). A fine-mapping population was developed for shoot fly resistance by crossing introgression lines RSG04008-6 (susceptible) × J2614-11 (resistant). A total of 19... |
Sep 17, 2019 - Genotypic
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, "Genotyping by Sequencing SNP data for the cross RSG04008-6 × J2614-11 in Sorghum", https://doi.org/10.21421/D2/TO4JWO, ICRISAT Dataverse, V1
This study was conducted to dissect the genetic basis of stay-green Quantitative Trait Loci (QTL) s 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 popula... |