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13,261 to 13,270 of 13,427 Results
MAIZ.Rdata
Dec 18, 2015 - Genomic prediction of marker × environment interaction Kernel regression models
Unknown - 3.7 MB - MD5: 7b2f980ed53e897325b368ae7d142d27
TRIGO.Rdata
Dec 18, 2015 - Genomic prediction of marker × environment interaction Kernel regression models
Unknown - 5.2 MB - MD5: 549a623d10678fc1a10f16934e9e0076
Blue maize pre-breeding materials 2015.xlsx
Dec 16, 2015 - Genealogical information for maize pre-breeding materials in the Seeds of Discovery-MasAgro Biodiversidad project: 2013-2015
Unknown - 107.7 KB - MD5: c1e83723c73defd7335485ee35990641
Pedigree Information
Code descriptions.csv
Dec 16, 2015 - Genealogical information for maize pre-breeding materials in the Seeds of Discovery-MasAgro Biodiversidad project: 2013-2015
Unknown - 768 B - MD5: ab91571afa2841b458f37c4bc28aaba1
Code Descriptions
Drought tolerance pre-breeding materials 2014-2015.xlsx
Dec 16, 2015 - Genealogical information for maize pre-breeding materials in the Seeds of Discovery-MasAgro Biodiversidad project: 2013-2015
Unknown - 302.2 KB - MD5: 07f324d88e9d531754dbf0ab6d0b6cae
Pedigree Information
Tar Spot resistance pre-breeding materials 2013-2015.xlsx
Dec 16, 2015 - Genealogical information for maize pre-breeding materials in the Seeds of Discovery-MasAgro Biodiversidad project: 2013-2015
Unknown - 73.0 KB - MD5: ff9f5d98e4020ad7bbe76ca66c7bff30
Pedigree Information
Ear_Photos_CML562-577.jpg
Ear_Photos_CML562-577.jpg
Dec 16, 2015 - CIMMYT Maize Lines (CMLs) - Pedigree and characterization data
JPEG Image - 442.7 KB - MD5: 3a2aa708bc78d4fc3a8037bebdb9e65c
CML Photos
Release_Notes_CML562-577_October_2015.pdf
Release_Notes_CML562-577_October_2015.pdf
Dec 16, 2015 - CIMMYT Maize Lines (CMLs) - Pedigree and characterization data
Adobe PDF - 915.0 KB - MD5: cff6e250d0a709b99d392868684a049e
Historical CML Release Notes
Announcement describing new CML lines released in 2015.
Genome-enabled prediction using probabilistic neural network classifiers
Dec 14, 2015 - CIMMYT Research Data
González-Camacho, Juan Manuel; Crossa, Jose; Pérez-Rodríguez, Paulino; Ornella, Leonardo; Gianola, Daniel, 2015, "Genome-enabled prediction using probabilistic neural network classifiers", https://hdl.handle.net/11529/10576, CIMMYT Research Data & Software Repository Network, V1
Non-parametric methods have been shown to be effective in genome-enabled prediction, in particular, the multi-layer perceptron (MLP) and the radial basis function neural network (RBFNN). In this study, we evaluated and compared the performance of MLP classifier versus the probabi...
Data_paper_BMC_JMGC_2015.zip
Dec 14, 2015 - Genome-enabled prediction using probabilistic neural network classifiers
Unknown - 59.2 MB - MD5: 6f3556758db2bb5870426120d28f43a1
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