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

4,291 to 4,300 of 13,434 Results
GreenSeeker Guanajuato 2013.xlsx
Jul 4, 2022 - Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Guanajuato
MS Excel Spreadsheet - 39.1 KB - MD5: b85e95ad980514e6f1798db5ac1e6ca6
Data base of maize trials with different rates of nitrogen. Guanajuato Cycle PV-2013.
GreenSeeker Guanajuato 2014.xlsx
Jul 4, 2022 - Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Guanajuato
MS Excel Spreadsheet - 30.4 KB - MD5: e7c1d3932cceb0f7d74aec04d8af24e0
Data base of maize trials with different rates of nitrogen. Guanajuato Cycle PV-2014.
GreenSeeker Guanajuato 2015.xlsx
Jul 4, 2022 - Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Guanajuato
MS Excel Spreadsheet - 29.1 KB - MD5: 50cfd1942a2ff1b66785f8cc20c0f250
Data base of maize trials with different rates of nitrogen. Guanajuato Cycle PV-2015.
Replication Data for: Multi-trait genome prediction of new environments with partial least squares
Jul 4, 2022 - CIMMYT Research Data
Montesinos-López, Osval A.; Montesinos-López, Abelardo; Bernal Sandoval, David Alejandro; Mosqueda-Gonzalez, Brandon Alejandro; Valenzo-Jiménez, Marco Alberto; Crossa, Jose, 2022, "Replication Data for: Multi-trait genome prediction of new environments with partial least squares", https://hdl.handle.net/11529/10548705, CIMMYT Research Data & Software Repository Network, V1
The genomic selection (GS) methodology has revolutionized plant breeding. This methodology makes predictions for genotyped candidate lines based on statistical machine learning algorithms that are trained with phenotypic and genotypic data of a reference population. GS can save s...
DATASET 1 EYT_1.RData
Jul 4, 2022 - Replication Data for: Multi-trait genome prediction of new environments with partial least squares
R Data - 4.3 MB - MD5: 35e3687d34bfe382a80d3a619e52f127
DATASET 2 Groundnut.RData
Jul 4, 2022 - Replication Data for: Multi-trait genome prediction of new environments with partial least squares
R Data - 2.4 MB - MD5: de4682c07fc3b83fc88f7dcf15fdd35b
DATASET 3 Disease.RData
Jul 4, 2022 - Replication Data for: Multi-trait genome prediction of new environments with partial least squares
R Data - 4.9 MB - MD5: 3d71207aceb7dea5678443596b10c36e
DATASET 4 Indica.RData
Jul 4, 2022 - Replication Data for: Multi-trait genome prediction of new environments with partial least squares
R Data - 508.2 KB - MD5: 5026812e88b3d7ef021341315fb0bbd3
DATASET 5 Japonica.RData
Jul 4, 2022 - Replication Data for: Multi-trait genome prediction of new environments with partial least squares
R Data - 630.7 KB - MD5: 60b6210b675a452fd3caee9b0f9086e3
SUPPLEMENTARY TABLES.docx
Jul 4, 2022 - Replication Data for: Multi-trait genome prediction of new environments with partial least squares
MS Word - 107.0 KB - MD5: 2cb0ee52e1563a762666060601aa1473
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.