ICRISAT Dataverse

Share Dataverse

Share this dataverse on your favorite social media networks.

Metrics

68,049 Downloads

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.

Phenotypic

Social Science

Spatial

Genotypic

Soil & Weather

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 10 of 3,501 Results

Data for Molecular Diversity for Resistance to Foliar Fungal Diseases and Nutritional Quality Traits in Genomic Selection Training Population of Groundnut Dec 27, 2019 - Genotypic 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),...
Data file of SSR Marker_DATA.xlsx Dec 27, 2019 - Data for Molecular Diversity for Resistance to Foliar Fungal Diseases and Nutritional Quality Traits in Genomic Selection Training Population of Groundnut MS Excel (XLSX) - 92.0 KB - MD5: 727c84a29f9e09cb16d97a94955a131b
Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18 Dec 13, 2019 - Phenotypic Pooran M.Gaur; Srinivasan, Samineni; B V Rao, 2019, "Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18", https://doi.org/10.21421/D2/RIACZD, ICRISAT Dataverse, V1, UNF:6:hYzV+fpHozcpX5IX/KeXuw== This dataset contains the phenotypic data on chickpea - Kabuli improvement at ICRISAT. Chickpea breeding program of ICRISAT supplied samples of breeding materials, which included advanced breeding lines, varieties, segregating populations, marker-assisted backcross lines, near-is...
Data file of ICVT Kabuli Adilabad.tab Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18 Tabular Data - 2.6 KB - 9 Variables, 40 Observations - UNF: UNF:6:sGZpN7zJ9BYrntSQFTiFVw== Data
Data file of ICVT Kabuli Dholi.tab Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18 Tabular Data - 2.7 KB - 10 Variables, 40 Observations - UNF: UNF:6:Kj0ASdSBoycXr2XBIS/bNw== Data
Data file of ICVT Kabuli Durgapura.tab Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18 Tabular Data - 1.2 KB - 7 Variables, 20 Observations - UNF: UNF:6:TTujOImfw1FVU/tU3crjJg== Data
Data file of ICVT Kabuli Hisar.tab Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18 Tabular Data - 2.9 KB - 10 Variables, 48 Observations - UNF: UNF:6:g14qJFVxIk4HEy0dGsSnDw== Data
Data file of ICVT Kabuli ICRISAT.tab Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18 Tabular Data - 2.7 KB - 10 Variables, 40 Observations - UNF: UNF:6:aQj++e8leSzqeNovpfNyIw== Data
Data file of ICVT Kabuli Indore.tab Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18 Tabular Data - 3.1 KB - 10 Variables, 40 Observations - UNF: UNF:6:4vChTZtPxFfUcNxC5gxghg== Data
Data file of ICVT Kabuli Jhansi.tab Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18 Tabular Data - 2.10 KB - 10 Variables, 59 Observations - UNF: UNF:6:XWYzhJ4ezH56IS19Pk3Y9g== Data

Data for Molecular Diversity for Resistance to Foliar Fungal Diseases and Nutritional Quality Traits in Genomic Selection Training Population of Groundnut

Dec 27, 2019 - Genotypic

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),...

Data file of SSR Marker_DATA.xlsx

Dec 27, 2019 - Data for Molecular Diversity for Resistance to Foliar Fungal Diseases and Nutritional Quality Traits in Genomic Selection Training Population of Groundnut

MS Excel (XLSX) - 92.0 KB - MD5: 727c84a29f9e09cb16d97a94955a131b

Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18

Dec 13, 2019 - Phenotypic

Pooran M.Gaur; Srinivasan, Samineni; B V Rao, 2019, "Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18", https://doi.org/10.21421/D2/RIACZD, ICRISAT Dataverse, V1, UNF:6:hYzV+fpHozcpX5IX/KeXuw==

This dataset contains the phenotypic data on chickpea - Kabuli improvement at ICRISAT. Chickpea breeding program of ICRISAT supplied samples of breeding materials, which included advanced breeding lines, varieties, segregating populations, marker-assisted backcross lines, near-is...

Data file of ICVT Kabuli Adilabad.tab

Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18

Tabular Data - 2.6 KB - 9 Variables, 40 Observations - UNF: UNF:6:sGZpN7zJ9BYrntSQFTiFVw==

Data

Data file of ICVT Kabuli Dholi.tab

Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18

Tabular Data - 2.7 KB - 10 Variables, 40 Observations - UNF: UNF:6:Kj0ASdSBoycXr2XBIS/bNw==

Data

Data file of ICVT Kabuli Durgapura.tab

Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18

Tabular Data - 1.2 KB - 7 Variables, 20 Observations - UNF: UNF:6:TTujOImfw1FVU/tU3crjJg==

Data

Data file of ICVT Kabuli Hisar.tab

Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18

Tabular Data - 2.9 KB - 10 Variables, 48 Observations - UNF: UNF:6:g14qJFVxIk4HEy0dGsSnDw==

Data

Data file of ICVT Kabuli ICRISAT.tab

Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18

Tabular Data - 2.7 KB - 10 Variables, 40 Observations - UNF: UNF:6:aQj++e8leSzqeNovpfNyIw==

Data

Data file of ICVT Kabuli Indore.tab

Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18

Tabular Data - 3.1 KB - 10 Variables, 40 Observations - UNF: UNF:6:4vChTZtPxFfUcNxC5gxghg==

Data

Data file of ICVT Kabuli Jhansi.tab

Dec 13, 2019 - Phenotypic evaluation data of International Chickpea Varietal Trials (ICVTs) - Kabuli for Year 2017-18

Tabular Data - 2.10 KB - 10 Variables, 59 Observations - UNF: UNF:6:XWYzhJ4ezH56IS19Pk3Y9g==

Data

Add Data

You need to Sign Up or Log In to create a dataverse or add a dataset.

Link Dataverse

Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.