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The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55 countries, the semi-arid or dryland tropics has over 2 billion people, and 644 million of these are the poorest of the poor. ICRISAT and its partners help empower these poor people to overcome poverty, hunger and a degraded environment through better agriculture.
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1 to 10 of 3,509 Results
Mar 18, 2020 - Genotypic
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 18, 2020 - Phenotypic
Vinutha K Somegowda; Prasad KVSV; Anilkumar Vemula; Jalaja Naravula; Gandham Prasad; Laavanya Rayaprolu; Abhishek Rathore; Michael Blümmel; Santosh P Deshpande, 2020, "Data on concurrent improvement of sorghum fodder yield and quality under water stressed condition", https://doi.org/10.21421/D2/C7K9PS, ICRISAT Dataverse, V1, UNF:6:f8c30A6g07kb+ih79qb6lw==
This dataset includes three-year research data on the evaluation of sorghum for fodder quality under terminal drought in vertisols(black soil). The trial was conducted for three years - 2012, 2013 and 2015 in post rainy season in vertisols. The experiment was laid out in an alpha...
Tabular Data - 21.5 KB - 19 Variables, 147 Observations - UNF: UNF:6:Tjzl6hxd4nl5ORQdtHFB6w==
Tabular Data - 26.9 KB - 18 Variables, 147 Observations - UNF: UNF:6:5eIvGP7ez19/p585cFxD+w==
Tabular Data - 21.2 KB - 18 Variables, 147 Observations - UNF: UNF:6:v2UkCNNxHDqvNLNywbRd2g==
MS Word (docx) - 12.4 KB - MD5: c6aeccfc38527ce791e3c29cda622183
Mar 5, 2020 - 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, "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...
ZIP Archive - 2.1 MB - MD5: e4140fe2a85ae1782229343c320b8703
ZIP Archive - 1.6 MB - MD5: d59f5a77eca0eb1871f5d19a392547e0
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