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1 to 10 of 3,504 Results
Dataset / Software
Jul 18, 2019
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", hdl: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...
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RAR File - 5.6 MB - MD5: d6c9b7e9394f946bdec40c119a09f821
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RAR File - 13.4 MB - MD5: 293ec3553210607db6c9e18f87bfadc4
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RAR File - 280.2 KB - MD5: 4873ac1274ab0e4423c224ceee651c73
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RAR File - 5.10 MB - MD5: 629ebcd9f3f625eb8505e6764371e491
Dataset / Software
Jul 12, 2019
Howard, Reka; Gianola, Daniel; Montesinos-López, Osval; Juliana, Philomin; Singh, Ravi; Poland, Jesse; Shrestha, Sandesh; Perez-Rodriguez, Paulino; Crossa, Jose; Jarquin, 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", hdl: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...
File
MS Word (docx) - 555.5 KB - MD5: 3ab27a8128954bc2aea9ab3611dd97f3
Supplementary materials including figures S1 and S2
Dataset / Software
Jul 4, 2019
Global Maize Program, 2019, "International Late Yellow Hybrid Trial - ILYH0704", hdl: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.
File
MS Excel - 106.0 KB - MD5: 6e4685df0917bb156959f1264495c34a
Combined Analysis
File
File - 158.0 KB - MD5: c9871c6435e69d358ff2c44220d2050e
Original Fieldbooks
CHTTY13
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