CIMMYT Research Data

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

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2,451 to 2,460 of 10,528 Results

Replication Data for: Multi-trait genome prediction of new environments with partial least squares Jul 4, 2022 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
U250.xls Jul 1, 2022 - Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Yaqui Valley MS Excel Spreadsheet - 109.0 KB - MD5: 4e9b89882f668fe3cd8a2edb851ab8d7 Data base of maize trials with different rates of nitrogen. Yaqui Valley Cycle OI-2006-2007.
V250 .xls Jul 1, 2022 - Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Yaqui Valley MS Excel Spreadsheet - 315.0 KB - MD5: 1178be1bfe44dcdcd798595b113a2d06 Data base of maize trials with different rates of nitrogen. Yaqui Valley Cycle OI-2007-2008.
W250.xls Jul 1, 2022 - Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Yaqui Valley MS Excel Spreadsheet - 424.0 KB - MD5: bd8c3c293baa5b9a8348c1f5b444b26f Data base of maize trials with different rates of nitrogen. Yaqui Valley Cycle OI-2008-2009.

Replication Data for: Multi-trait genome prediction of new environments with partial least squares

Jul 4, 2022

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 -

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 -

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 -

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 -

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 -

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 -

U250.xls

Jul 1, 2022 - Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Yaqui Valley

MS Excel Spreadsheet - 109.0 KB -

Data base of maize trials with different rates of nitrogen. Yaqui Valley Cycle OI-2006-2007.

V250 .xls

Jul 1, 2022 - Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Yaqui Valley

MS Excel Spreadsheet - 315.0 KB -

Data base of maize trials with different rates of nitrogen. Yaqui Valley Cycle OI-2007-2008.

W250.xls

Jul 1, 2022 - Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Yaqui Valley

MS Excel Spreadsheet - 424.0 KB -

Data base of maize trials with different rates of nitrogen. Yaqui Valley Cycle OI-2008-2009.

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