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

5,841 to 5,850 of 10,526 Results
Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
May 11, 2020
Ibba, Maria Itria; Crossa, Jose; Montesinos-López, Osval A.; Montesinos-López, Abelardo; Juliana, Philomin; Guzman, Carlos; Dolorean, Emily; Dreisigacker, Susanne; Poland, Jesse, 2020, "Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years", https://hdl.handle.net/11529/10548423, CIMMYT Research Data & Software Repository Network, V1
The use of genomic prediction could greatly help to increase the efficiency of selecting for wheat quality traits by reducing the cost and time required for this analysis. This study contains data used to evaluate the prediction performances of 13 wheat quality traits under two m...
Data_YT - C49IBWSN Y. 13-14.RData.gz
May 11, 2020 - Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
Gzip Archive - 2.8 MB - MD5: 2215ec8a5952d844cadaf76652f7315c
Data_YT - C50IBWSN Y. 14-15.RData.gz
May 11, 2020 - Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
Gzip Archive - 2.5 MB - MD5: 9d873b57d20f72adfbf225eee4cf16bb
Data_YT - C51IBWSN Y.15-16.RData.gz
May 11, 2020 - Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
Gzip Archive - 1.6 MB - MD5: 1c32020102b2bbfe39fe2879406d2751
Data_YT - C52IBWSN Y. 16-17.RData.gz
May 11, 2020 - Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
Gzip Archive - 2.1 MB - MD5: 2ccb53778b6ca90047dfaa4d83736894
Data_YT - C53IBWSN Y.17-18.RData.gz
May 11, 2020 - Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
Gzip Archive - 1.7 MB - MD5: 3db2209a430a3845ac6da449c513c89e
Supplemental documents.docx
May 11, 2020 - Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
MS Word - 19.0 KB - MD5: 4a218d08b24b5242be3c5eae68a4a002
Weed biomass and density in a long-term conservation agriculture experiment in Mexico
May 11, 2020
Verhulst, Nele; Fonteyne, Simon; Govaerts, Bram, 2020, "Weed biomass and density in a long-term conservation agriculture experiment in Mexico", https://hdl.handle.net/11529/10548424, CIMMYT Research Data & Software Repository Network, V1, UNF:6:EepGezhFFmeO0+WVXGXptw== [fileUNF]
Weed management can be one of the main challenges when adopting conservation agriculture. Although all three components of conservation agriculture (minimal tillage, permanent soil cover and crop diversification) can have a reducing effect on weed populations, these effects may o...
DAT-D5-WeedData-2004-2005-2013-2014-2015.tab
May 11, 2020 - Weed biomass and density in a long-term conservation agriculture experiment in Mexico
Tabular Data - 2.5 KB - 2 Variables, 72 Observations - UNF:6:EepGezhFFmeO0+WVXGXptw==
Replication Data for: Multi-trait Bayesian decision for parental selection
May 2, 2020
Villar-Hernández, Bartolo de Jesús; Crossa, Jose; Pérez-Elizalde, Sergio; García-Calvillo, Irma Delia; Toledo, Fernando; Pérez-Rodríguez, Paulino, 2020, "Replication Data for: Multi-trait Bayesian decision for parental selection", https://hdl.handle.net/11529/10548420, CIMMYT Research Data & Software Repository Network, V1
The files included in this study contains the data used with three promising multivariate loss functions: Kullback-Leibler (KL); the Energy Score; and the Multivariate Asymmetric Loss (MALF); to select the best performing parents for the next breeding cycle in two extensive real...
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.