CIMMYT institutional network of scientific datasets and software repositories.
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

8,531 to 8,540 of 13,434 Results
7Z Archive - 50.2 KB - MD5: 85d6cfd08177748dc9c76736a951d8db
The Triticum aestivum (wheat) genome encodes for three Rca protein isoforms: TaRca1β, TaRca2β and TaRca2α (Carmo-Silva et al. 2015 Plant Cell Environ.). In this study (Perdomo et al. 2019 Biochemical Journal), the regulatory properties of these three wheat Rca isoforms were chara...
Feb 2, 2020 - CIMMYT Research Data
Molnar, Terence; Carvalho Andrade, Marcela; Burgueño, Juan; Crossa, Jose; Petroli, Cesar; Velazquez, Manuel; Sifuentes, Ernesto; Vidal, Victor; Moreno-Retis, Carlos; Moreno-Retis, Jose; Martinez, Ramon; Dupont Pioneer; Mezzalama, Monica; Hearne, Sarah, 2019, "Evaluation of maize pre-breeding materials under the Seeds of Discovery initiative in 2017", https://hdl.handle.net/11529/10548360, CIMMYT Research Data & Software Repository Network, V3
These data describe the evaluation of landrace-derived pre-breeding materials for biotic and abiotic stress resistance as well as for general yield potential in 2017. Populations of interest for drought stress during flowering time, heat stress during flowering time, and Tar Spot...
Plain Text - 8.1 KB - MD5: 115abc910a0141513357e4ca88d12d9b
Data dictionary
Plain Text - 5.9 KB - MD5: 0f8d667f25782862733e23650fd5efe5
Basic description of the locations used and the treatments applied in each trial
Adobe PDF - 217.3 KB - MD5: 6f71734c753c4a21e0e0716b02872409
Protocol
Jan 31, 2020 - CIMMYT Research Data
Sehgal, Deepmala; Rosyara, Umesh; Mondal, Suchismita; Singh, Ravi; Poland, Jesse; Dreisigacker, Susanne, 2020, "Genomic selection models based on integration of GWAS loci and epistatic interactions", https://hdl.handle.net/11529/10548366, CIMMYT Research Data & Software Repository Network, V1
The potential to integrate consistent associations identified from GWAS as fixed variables in GP models to improve prediction accuracy for complex traits (for example, grain yield) has not been investigated comprehensively in wheat. Here, we untangled the genetic architecture of...
Gzip Archive - 75.7 KB - MD5: a6b3b1fa603556adf6b63a729ee3eee4
DataPhenotypic data
EYT2011-12 data
Gzip Archive - 102.1 KB - MD5: b64179214aa8c9e009cbb1d7ec4c5691
DataPhenotypic data
EYT2011-12 data
Gzip Archive - 99.3 KB - MD5: 7e2e83336f4a2af633e6383a48457bf2
DataPhenotypic data
EYT2011-12 data
Gzip Archive - 93.5 KB - MD5: de399e09920c862b61efff29af894b5e
DataPhenotypic data
EYT2014-15 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.