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1 to 10 of 33 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...
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...
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...
Jul 8, 2019 - Phenotypic
Samuel Njoroge; John Peter Takan; Elias Letayo; Patrick Okoth; Daniel Ajaku; Anil Kumar; Abhishek, Rathore; Henry Ojulong; Eric Manyasa, 2019, "Survey of fungal foliar and panicle diseases of Sorghum in important Agro-Ecological zones of Tanzania", https://doi.org/10.21421/D2/KA1GQD, ICRISAT Dataverse, V1, UNF:6:7rMiHzgZsbOxgrLiBk7pdQ==
A survey was conducted in 2014 to determine the prevalence of fungal diseases on sorghum across different agro-ecological zones in Tanzania. In Tanzania, 37 sorghum fields were sampled in Dodoma and Singida Provinces representing the central drier areas, and in Simiyu, Shinyanga,...
Jul 8, 2019 - Phenotypic
Samuel Njoroge; John Peter Takan; Elias Letayo; Patrick Okoth; Daniel Ajaku; Anil Kumar; Abhishek, Rathore; Henry Ojulong; Eric Manyasa, 2019, "Survey of fungal foliar and panicle diseases of Sorghum in important Argo-Ecological zones of Uganda", https://doi.org/10.21421/D2/LJF2IC, ICRISAT Dataverse, V1, UNF:6:2qXuyl01qv7ARxHa3+5aCg==
A survey was conducted in 2014 to determine the prevalence of fungal diseases on Sorghum across different agro-ecological zones in Uganda. In Uganda, 37 sorghum fields were sampled in Dodoma and Singida, provinces representing the central drier areas, and in Simiyu, Shinyanga, Mw...
Apr 10, 2019 - Social Science
Amare Haileslassie; Kuppannan Palanisami; Shalander Kumar; Abhishek, Rathore; Craufurd Peter; Adinarayana G, 2019, "Data on farming expenditure and insurance details for dryland system agricultural production system research in South Asian action villages in Kurnool district of Andhra Pradesh", https://doi.org/10.21421/D2/NMXCUM, ICRISAT Dataverse, V1, UNF:6:pK5/ndiW6+hV3UHUiQOPsA==
Household Level Baseline Data has been collected in action Villages of Kurnool district of Andhra Pradesh state of India for Dryland System Agricultural Production System Research
Apr 10, 2019 - Social Science
Amare Haileslassie; Kuppannan Palanisami; Shalander Kumar; Abhishek, Rathore; Craufurd Peter; Adinarayana G, 2019, "Data on market access details for dryland system agricultural production system research in South Asian action villages in Kurnool district of Andhra Pradesh", https://doi.org/10.21421/D2/EFT2RJ, ICRISAT Dataverse, V1, UNF:6:pCk4XR6jzEXVFzC1y275pQ==
Household Level Baseline Data has been collected in action Villages of Kurnool district of Andhra Pradesh state of India for Dryland System Agricultural Production System Research
Apr 10, 2019 - Social Science
Amare Haileslassie; Kuppannan Palanisami; Shalander Kumar; Abhishek, Rathore; Craufurd Peter; Adinarayana G, 2019, "Data on gender and social status details for dryland system agricultural production system research in South Asian action villages in Kurnool district of Andhra Pradesh", https://doi.org/10.21421/D2/V9GSTC, ICRISAT Dataverse, V1, UNF:6:kFXpuSxWMT+vKd4l3Q6yVw==
Household Level Baseline Data has been collected in action Villages of Kurnool district of Andhra Pradesh state of India for Dryland System Agricultural Production System Research
Apr 10, 2019 - Social Science
Amare Haileslassie; Kuppannan Palanisami; Shalander Kumar; Abhishek, Rathore; Craufurd Peter; Adinarayana G, 2019, "Data on asset management details for dryland system agricultural production system research in South Asian action villages in Kurnool district of Andhra Pradesh", https://doi.org/10.21421/D2/WWIB8M, ICRISAT Dataverse, V1, UNF:6:y0gEwm1z/CXyOg8P+YaLmw==
Household Level Baseline Data has been collected in action Villages of Kurnool district of Andhra Pradesh state of India for Dryland System Agricultural Production System Research
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