CIMMYT institutional network of scientific datasets and software repositories.
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13,261 to 13,270 of 13,418 Results
JPEG Image - 442.7 KB - MD5: 3a2aa708bc78d4fc3a8037bebdb9e65c
CML Photos
Adobe PDF - 915.0 KB - MD5: cff6e250d0a709b99d392868684a049e
Historical CML Release Notes
Announcement describing new CML lines released in 2015.
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...
Unknown - 59.2 MB - MD5: 6f3556758db2bb5870426120d28f43a1
Plain Text - 1.0 KB - MD5: f0078eb99e4f6fd35b257033eb536a29
Unknown - 129.0 KB - MD5: 3da3098648d2b80c778273cccc0fa1d4
Nov 27, 2015 - CIMMYT Research Data
Willcox, Martha; Guadarrama Espinoza, Armando; Chepetla Calderon, Daniel; Rodriguez Chanona, Enrique; Burgueño, Juan, 2015, "Evaluation of Adaptation to Low Soil Nitrogen Levels in 2012 in El Batán, México", https://hdl.handle.net/11529/10531, CIMMYT Research Data & Software Repository Network, V1
Testcrosses generated using highland accessions from the CIMMYT Maize Germplasm Bank were evaluated in soils with low and optimal levels of nitrogen. The raw, uncurated data are presented in this study.
Unknown - 8.1 KB - MD5: 2602fb18f4fbb442f229d2b6b6886369
Data Dictionary
Description of data in the raw data files.
Plain Text - 239.1 KB - MD5: ca5df229903fb978ce6bcf0d2d7d1bf3
Raw Data
Raw phenotypic results of a field trial run under optimal soil nitrogen conditions for one season in El Batán, México in 2012.
Unknown - 17.3 KB - MD5: 136cfc3436b82f08a654f5e896d0fcba
Field Map
Field map for optimal nitrogen conditions.
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