Free, open access repository of research studies developed by CIMMYT scientists.
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

3,061 to 3,070 of 10,528 Results
Replication Data for: Bayesian multi-trait kernel methods improve multi-environment genome based prediction
Nov 15, 2021
Montesinos-López, Osval A.; Montesinos-López, José Cricelio; Montesinos-López, Abelardo; Ramírez-Alcaraz, Juan Manuel; Poland, Jesse; Singh, Ravi; Dreisigacker, Susanne; Crespo Herrera, Leonardo Abdiel; Govindan, Velu; Juliana, Philomin; Huerta Espino, Julio; Shrestha, Sandesh; Varshney, Rajeev K.; Crossa, Jose, 2021, "Replication Data for: Bayesian multi-trait kernel methods improve multi-environment genome based prediction", https://hdl.handle.net/11529/10548629, CIMMYT Research Data & Software Repository Network, V1
When multi-trait data are available and the degree of correlation between phenotypic traits is moderate or large, genomic prediction accuracy can increase when models are used that account for correlations between the phenotypic traits. The data files associated with this dataset...
Data_EYT_Data Set_1.RData.gz
Nov 15, 2021 - Replication Data for: Bayesian multi-trait kernel methods improve multi-environment genome based prediction
Gzip Archive - 4.3 MB - MD5: ae3768523cdc277e0b047178e5748cc7
Data_EYT_Data Set_2.RData.gz
Nov 15, 2021 - Replication Data for: Bayesian multi-trait kernel methods improve multi-environment genome based prediction
Gzip Archive - 4.4 MB - MD5: b360ade23a88d210d668e4ef99ef569d
Data_EYT_Data Set_3.RData.gz
Nov 15, 2021 - Replication Data for: Bayesian multi-trait kernel methods improve multi-environment genome based prediction
Gzip Archive - 6.8 MB - MD5: f66ad2e32d28013e550f1dbb9e63a6e2
Daily wheat canopy temperature and meteorological data for IWIN locations
Nov 5, 2021
Montes, Carlo; Schulthess, Urs; Lashkari, Azam, 2021, "Daily wheat canopy temperature and meteorological data for IWIN locations", https://hdl.handle.net/11529/10548626, CIMMYT Research Data & Software Repository Network, V1
Dataset of daily canopy temperature and meteorological data from the ECMWF’s AgERA5 product for the period 1979 though 2020, and for 785 points belonging to the International Wheat Improvement Network (IWIN). Wheat canopy temperature was estimated from a linear model using maximu...
IWIN_AgERA5_meteodata.zip
Nov 5, 2021 - Daily wheat canopy temperature and meteorological data for IWIN locations
ZIP Archive - 386.6 MB - MD5: fa5dfb405c2aed00a0990945ffb1a0f6
IWIN_Locations.csv
Nov 5, 2021 - Daily wheat canopy temperature and meteorological data for IWIN locations
Comma Separated Values - 15.5 KB - MD5: 3421467f33ead4f7fff1c1ab192cbb06
EYTBW-B2I-Y19-20 data.csv.gz
Oct 28, 2021 - Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program
Gzip Archive - 42.8 KB - MD5: 88866d9396df1af56242e348ae4d4129
DataPhenotypic data
EYTBW-B5I-Y19-20 data.csv.gz
Oct 28, 2021 - Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program
Gzip Archive - 44.2 KB - MD5: 3e0626bf61ba4a925c726398de51f916
DataPhenotypic data
EYTBW-DRM-Y19-20 data.csv.gz
Oct 28, 2021 - Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program
Gzip Archive - 52.8 KB - MD5: e38e372c6305053aa2f1c2533ddcc123
DataPhenotypic data
Add Data

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

Sign Up Log In
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.