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4,311 to 4,320 of 13,456 Results
GreenSeeker Guanajuato 2011.xlsx
Jul 4, 2022 - Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Guanajuato
MS Excel Spreadsheet - 41.9 KB - MD5: 4b4afaa18bd04e42d195fe08a58719b8
Data base of maize trials with different rates of nitrogen. Guanajuato Cycle PV-2011.
GreenSeeker Guanajuato 2012.xlsx
Jul 4, 2022 - Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Guanajuato
MS Excel Spreadsheet - 59.1 KB - MD5: 092f5e575c3e4f8516ff48aeab64d716
Data base of maize trials with different rates of nitrogen. Guanajuato Cycle PV-2012.
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
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