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8,951 to 8,960 of 12,535 Results

DAT-PUB-Soledad.tab Aug 4, 2019 - Long-term tillage and residue management experiment in San Luis Potosí, Mexico Tabular Data - 3.8 KB - 5 Variables, 86 Observations - UNF:6:IoKHUBaC8wFwyZ40ygz99g==
Deep kernel of genomic and near infrared predictions in multi-environment breeding trials Jul 18, 2019 - CIMMYT Research Data Cuevas, Jaime; Montesinos-López, Osval A.; Juliana, Philomin; Pérez-Rodríguez, Paulino; Burgueño, Juan; Guzman, Carlos; Montesinos-López, Abelardo; Crossa, Jose, 2019, "Deep kernel of genomic and near infrared predictions in multi-environment breeding trials", https://hdl.handle.net/11529/10548180, CIMMYT Research Data & Software Repository Network, V4 In genomic prediction deep learning artificial neural network are part of machine learning methods that incorporate parametric, non-parametric and semi-parametric statistical models. Kernel methods are seeing more flexible, and easier to interpret than neural networks. Kernel met...
MAIZE2 DATA SET.rar Jul 18, 2019 - Deep kernel of genomic and near infrared predictions in multi-environment breeding trials RAR Archive - 5.6 MB - MD5: d6c9b7e9394f946bdec40c119a09f821
MAIZE3 DATA SET.rar Jul 18, 2019 - Deep kernel of genomic and near infrared predictions in multi-environment breeding trials RAR Archive - 13.4 MB - MD5: 293ec3553210607db6c9e18f87bfadc4
WHEAT1 DATA SET.rar Jul 18, 2019 - Deep kernel of genomic and near infrared predictions in multi-environment breeding trials RAR Archive - 280.2 KB - MD5: 4873ac1274ab0e4423c224ceee651c73
WHEAT4 DATA SET.rar Jul 18, 2019 - Deep kernel of genomic and near infrared predictions in multi-environment breeding trials RAR Archive - 6.0 MB - MD5: 629ebcd9f3f625eb8505e6764371e491
Replication Data for: Joint use of genome, pedigree and their interaction with environment for predicting the performance of wheat lines in new environments Jul 12, 2019 - CIMMYT Research Data Howard, Reka; Gianola, Daniel; Montesinos-López, Osval A.; Juliana, Philomin; Singh, Ravi; Poland, Jesse; Shrestha, Sandesh; Pérez-Rodríguez, Paulino; Crossa, Jose; Jarquín, Diego, 2019, "Replication Data for: Joint use of genome, pedigree and their interaction with environment for predicting the performance of wheat lines in new environments", https://hdl.handle.net/11529/10548169, CIMMYT Research Data & Software Repository Network, V3 In this study, we evaluated genome-based prediction using 35,403 wheat lines from the Global Wheat Breeding Program of the International Maize and Wheat Improvement Center (CIMMYT). We implemented eight statistical models that included genome-wide molecular marker and pedigree in...
SUPPLEMENTARY MATERIAL.docx Jul 12, 2019 - Replication Data for: Joint use of genome, pedigree and their interaction with environment for predicting the performance of wheat lines in new environments MS Word - 555.5 KB - MD5: 3ab27a8128954bc2aea9ab3611dd97f3 Supplementary materials including figures S1 and S2
International Late Yellow Hybrid Trial - ILYH0704 Jul 4, 2019 - CIMMYT Research Data Global Maize Program, 2019, "International Late Yellow Hybrid Trial - ILYH0704", https://hdl.handle.net/11529/10540, CIMMYT Research Data & Software Repository Network, V1 Summary results and individual trial results from the International Late Yellow Hybrid - ILYH, (Elite Tropical Late Yellow Normal and QPM Hybrid Trial - CHTTY) conducted in 2007.
07CHTTY13-1.xls Jul 4, 2019 - International Late Yellow Hybrid Trial - ILYH0704 MS Excel Spreadsheet - 106.0 KB - MD5: 6e4685df0917bb156959f1264495c34a Combined Analysis

DAT-PUB-Soledad.tab

Aug 4, 2019 - Long-term tillage and residue management experiment in San Luis Potosí, Mexico

Tabular Data - 3.8 KB - 5 Variables, 86 Observations -

Deep kernel of genomic and near infrared predictions in multi-environment breeding trials

Jul 18, 2019 - CIMMYT Research Data

Cuevas, Jaime; Montesinos-López, Osval A.; Juliana, Philomin; Pérez-Rodríguez, Paulino; Burgueño, Juan; Guzman, Carlos; Montesinos-López, Abelardo; Crossa, Jose, 2019, "Deep kernel of genomic and near infrared predictions in multi-environment breeding trials", https://hdl.handle.net/11529/10548180, CIMMYT Research Data & Software Repository Network, V4

In genomic prediction deep learning artificial neural network are part of machine learning methods that incorporate parametric, non-parametric and semi-parametric statistical models. Kernel methods are seeing more flexible, and easier to interpret than neural networks. Kernel met...

MAIZE2 DATA SET.rar

Jul 18, 2019 - Deep kernel of genomic and near infrared predictions in multi-environment breeding trials

RAR Archive - 5.6 MB -

MAIZE3 DATA SET.rar

Jul 18, 2019 - Deep kernel of genomic and near infrared predictions in multi-environment breeding trials

RAR Archive - 13.4 MB -

WHEAT1 DATA SET.rar

Jul 18, 2019 - Deep kernel of genomic and near infrared predictions in multi-environment breeding trials

RAR Archive - 280.2 KB -

WHEAT4 DATA SET.rar

Jul 18, 2019 - Deep kernel of genomic and near infrared predictions in multi-environment breeding trials

RAR Archive - 6.0 MB -

Replication Data for: Joint use of genome, pedigree and their interaction with environment for predicting the performance of wheat lines in new environments

Jul 12, 2019 - CIMMYT Research Data

Howard, Reka; Gianola, Daniel; Montesinos-López, Osval A.; Juliana, Philomin; Singh, Ravi; Poland, Jesse; Shrestha, Sandesh; Pérez-Rodríguez, Paulino; Crossa, Jose; Jarquín, Diego, 2019, "Replication Data for: Joint use of genome, pedigree and their interaction with environment for predicting the performance of wheat lines in new environments", https://hdl.handle.net/11529/10548169, CIMMYT Research Data & Software Repository Network, V3

In this study, we evaluated genome-based prediction using 35,403 wheat lines from the Global Wheat Breeding Program of the International Maize and Wheat Improvement Center (CIMMYT). We implemented eight statistical models that included genome-wide molecular marker and pedigree in...

SUPPLEMENTARY MATERIAL.docx

Jul 12, 2019 - Replication Data for: Joint use of genome, pedigree and their interaction with environment for predicting the performance of wheat lines in new environments

MS Word - 555.5 KB -

Supplementary materials including figures S1 and S2

International Late Yellow Hybrid Trial - ILYH0704

Jul 4, 2019 - CIMMYT Research Data

Global Maize Program, 2019, "International Late Yellow Hybrid Trial - ILYH0704", https://hdl.handle.net/11529/10540, CIMMYT Research Data & Software Repository Network, V1

Summary results and individual trial results from the International Late Yellow Hybrid - ILYH, (Elite Tropical Late Yellow Normal and QPM Hybrid Trial - CHTTY) conducted in 2007.

07CHTTY13-1.xls

Jul 4, 2019 - International Late Yellow Hybrid Trial - ILYH0704

MS Excel Spreadsheet - 106.0 KB -

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