Featured Dataverses

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

Advanced Search

1 to 10 of 455 Results
Feb 28, 2022
Martin Paul JR. Tabe Ojong; Michael Hauser; Kai Mausch, 2022, "TL-III Panel dataset - Ethiopia", https://doi.org/10.21421/D2/XFG8NS, International Crops Research Institute for the Semi-Arid Tropics, UNF:6:rvuCHOC1Muy0ykg61iwQWA== [fileUNF]
This is a three-wave panel dataset of smallholder farmers in the East Shewa zone of Amhara and Oromia regional states of Ethiopia. East Shewa is located in the central highlands of the country, northeast of Bishoftu, which is 50 km to the capital, Addis Ababa. Bishoftu is home to the Debre Zeit Agricultural Research Centre (DZARC), which offers pro...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Dec 11, 2021
Saxena, Rachit; Varshney, Rajeev; Upadhyaya, Hari; Khan, Aamir; Yu, Yue; Kim, Changhoon; Rathore, Abhishek; Kim, Dongseon; Kim, Jihun; An, Shaun; Kumar, Vinay; Ghanta, Anuradha; Yamini, KN; Zhang, Wei; Muniswamy, Sonappa; Kim, Jong-So; Penmetsa, R Varma; Wettberg, Eric; Datta, Swapan, 2021, "Sequence variations data on 292 pigeonpea lines for understanding genetic relationships and genome-wide association", https://doi.org/10.21421/D2/JQLYUJ, International Crops Research Institute for the Semi-Arid Tropics
This data contains sequence variation information on 292 pigeonpea lines. The sequence variations were obtained through paired-end sequencing on an Illumina HiSeq 2000 sequencer. Paired-end resequencing reads were mapped using BWA7 (ver. 0.5.9) with default parameters onto the pigeonpea reference genome. Mapped reads were converted into BAM files u...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Nov 25, 2021
Deshpande, Santosh; Somegowda, Kanuganahalli Vinutha; Naravula, Jalaja; Rathore, Abhishek; Jones, Chris, 2021, "Genotypic data on reference set for fodder quality in Sorghum under drought", https://doi.org/10.21421/D2/ERBXEH, International Crops Research Institute for the Semi-Arid Tropics
Genotypic data on 129 reference entries of Sorghum for GWAS analysis and identification of genomic regions for fodder quality. The genotypes were sown and DNA was isolated from leaves of each accession at 4 to 6 leaf stage using the modified hexadecyltrimethylammonium bromide (CTAB) protocol from 12-day-old seedlings and genotyping done following t...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Nov 11, 2021
Deshpande, Santosh; Rathore, Abhishek; Gandhi, Harish; Selvanayagam, Sivasubramani; Gupta, Rajeev, 2021, "Development of Quality Control (QC) marker set, and mid-density marker set in Sorghum using Genotyping-by-Sequencing (GBS) based SNPs data of a large set of about 1900 breeding lines across several breeding programs", https://doi.org/10.21421/D2/YU3ALS, International Crops Research Institute for the Semi-Arid Tropics
This dataset includes the research work on the molecular marker characterization of the 1891 breeding lines across several breeding programs. DNA for these lines was isolated from leaves of each accession at 4–6 leaf stage using the modified hexadecyltrimethyl ammonium bromide (CTAB) protocol from 12-day-old seedlings. The genotyping was done follo...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Oct 21, 2021
Kholova, Jana, 2019, "Data on multi factorial treatments in Rabi Sorghum for 2018-19 at Patancheru, ICRISAT", https://doi.org/10.21421/D2/LHM7NX, International Crops Research Institute for the Semi-Arid Tropics, UNF:6:w+cY6JeFjfHEfzcyiLRJ9A== [fileUNF]
Sequential observations of agronomical important traits during cropping season for Rabi Sorghum Crop during 2018 and 2019 season in ICRISAT Patancheru campus research fields. This dataset has the agronomic details of 18 sorghum genotypes. These 18 genotypes were subjected to 3 different treatment combinations which are well-watered high nitrogen hi...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Oct 21, 2021
Kholova, Jana, 2020, "Data on multi factorial treatments in Rabi Sorghum for 2019-20 at Patancheru, ICRISAT", https://doi.org/10.21421/D2/MT7YRU, International Crops Research Institute for the Semi-Arid Tropics, UNF:6:925f2O9KwF93O/3cjMVOVA== [fileUNF]
Sequential observations of agronomical important traits during cropping season for Rabi Sorghum Crop during 2019 and 2020 season in ICRISAT Patancheru campus research fields.This dataset has the agronomic details of 16 sorghum genotypes. These 16 genotypes were subjected to 2 different treatment combinations which are well-watered high nitrogen hig...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Oct 21, 2021
Kholova, Jana, 2018, "Data on multi factorial treatments in Rabi Sorghum for 2017-18 in Plant Quarantine E2, Patancheru, ICRISAT", https://doi.org/10.21421/D2/7M3MZT, International Crops Research Institute for the Semi-Arid Tropics, UNF:6:h1INdfWZY5/Xj/7EejQT7A== [fileUNF]
Sequential observations of agronomical important traits during cropping season for Rabi Sorghum Crop during 2017 and 2018 season in ICRISAT Patancheru campus research fields at Plant Quarantine E2 field. This dataset includes the research on the evaluation of 31 genotypes of Sorghum. Out of these 31 entries, 5 genotypes were studied in detail for t...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Oct 13, 2021
Ponnaiah, Govintharaj; Gupta, Shashi Kumar; Marappa, Maheswaran; Michael, Blümmel; Pichaikannu, Sumathi; Vemula, Anilkumar; Rathore, Abhishek; Selvanayagam, Sivasubramani; Kale, Sandip Mallikarjun; Varshney, Rajeev Kumar, 2021, "Genome wide SNPs data generated using GBS on forage type hybrid parents in Pearl millet", https://doi.org/10.21421/D2/IWXCUJ, International Crops Research Institute for the Semi-Arid Tropics, UNF:6:wd1Xci0axCaOB0Ae1A9EkA== [fileUNF]
This data set contains single nucleotide polymorphism (SNP) markers identified by genotyping by sequencing (GBS) approach, and was used to identify marker-trait association for forage quality traits crude protein (CP) and in vitro organic matter digestibility (IVOMD) among 105 forage type hybrid parents. The DNA of 105 hybrid parents was genotyped...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Aug 26, 2021
Deshpande, Santosh; Somegowda Kanuganahalli Vinutha; Vemula, Anilkumar; Rathore, Abhishek; Jones, Chris, 2021, "Replication data for agronomic traits on reference set for fodder quality in Sorghum under drought", https://doi.org/10.21421/D2/DA4WUS, International Crops Research Institute for the Semi-Arid Tropics, UNF:6:EldFKGs3IfKpLobvxi8Rfg== [fileUNF]
Data on agronomic traits for 142 entries from the trial conducted using Alpha Lattice design, with two replications under drought stress (irrigation withheld) and two under controlled (well irrigated) conditions in vertisols. The following data were recorded in field, days to fifty percent flowering, plant height, fresh biomass, dry biomass, and gr...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 22, 2021
Swamikannu, Nedumaran; Pingali, Parthasarathy Rao; Padmanabhan, Jyosthnaa; Ravula, Padmaja; Gumma, Murali Krishna; Mohammed, Irshad Ahmed; Rathore, Abhishek, 2021, "District Level Data (DLD) and Dashboard for Agriculture and Allied-sectors in India", https://doi.org/10.21421/D2/XFB1BZ, International Crops Research Institute for the Semi-Arid Tropics
The District Level Database (DLD) for Indian agriculture and allied sectors provide a comprehensive one-stop-shop for India's rural sector. The DLD time-series data will be used to identify relevant regions/districts in India for targeted programs and development initiatives. It acts as a link between country-level macro data and household-level mi...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

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.