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1 to 10 of 34 Results
Dataset / Software
Sep 14, 2015
2015, "The Role of Crop Residue Management in Increasing the Resilience of Mixed Farming at Various Levels of Intensification", hdl:11529/10078, CIMMYT Research Data & Software Repository Network, V2
Dataset / Software
Sep 14, 2015
Pérez-Elizalde, Sergio; Cuevas, Jaime; Pérez-Rodríguez, Paulino; Crossa, José, 2015, "Selection of The Bandwidth Parameter in a Bayesian Kernel Regression Model for Genomic-Enabled Prediction", hdl:11529/10234, CIMMYT Research Data & Software Repository Network, V8
One of the most widely used kernel functions in genomic-enabled prediction is the Gaussian kernel. Usually selection of the bandwidth parameter for kernel regression is based on cross-validation. In this study, we propose a Bayesian method for selecting the bandwidth parameter h...
Dataset / Software
Sep 14, 2015
De Groote, Hugo; Yirga, Chilot; Jaleta, Moti; Gitonga, Zachary M.; Gunaratna, Nilupa; Gebreselassie, Kidist, 2015, "Nutritious Maize for Ethiopia (NuME) - baseline survey", hdl:11529/10355, CIMMYT Research Data & Software Repository Network, V5
Maize is now the major food crop in Ethiopia, but it has poor nutritional quality, in particular inadequate levels of the essential amino acids lysine and tryptophan, which reduces the overall biological value of its protein. In response, quality protein maize (QPM) was developed...
Dataset / Software
Sep 14, 2015
Marenya, Paswel; Jaleta, Moti; Jena, Pradyot; Bekele, Adam; Odendo, Martins; Ouma, James, 2015, "Ideas for modernizing maize and bean value chains in Kenya and Ethiopia: results from a brief survey", hdl:11529/10053, CIMMYT Research Data & Software Repository Network, V10, UNF:5:WjDpTOt3crtLSM72e0V9/w==
The development of relatively sophisticated actors along the agricultural value chains is an important precursor for agricultural development. In staple crop value chains for example, innovations around warehouse receipting and collateralization can enable farmers to successfully...
Dataset / Software
Sep 21, 2015
Montesinos-López, Osval Antonio; Montesinos-López, Abelardo; Crossa, José; Burgueño, Juan; Eskridge, Kent, 2015, "Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression", hdl:11529/10254, CIMMYT Research Data & Software Repository Network, V5
Most genomic-enabled prediction models developed so far assume that the response variable is continuous and normally distributed. The exception is the probit model developed for ordered categorical phenotypes. In statistical applications, due to the easy implementation of the Bay...
Dataset / Software
Dec 18, 2015
Cuevas, Jaime; Crossa, José; Soberanis, Víctor; Pérez-Elizalde, Sergio; Pérez-Rodríguez, Paulino; Campos, Gustavo de los, 2015, "Genomic Prediction of Marker × Environment Interaction Kernel Regression Models", hdl:11529/10580, CIMMYT Research Data & Software Repository Network, V1
The marker × environment interaction (M×E) decomposes the marker effects into main effects and interaction environmental-specific effects. The M×E interaction may be modeled through a linear kernel (Genomic Best Linear Unbiased Predictor, GBLUP) or with non-linear Gaussian kernel...
Dataset / Software
Feb 15, 2016
Montesinos-López, Abelardo; Montesinos-López, Osval A.; Crossa, Jose; Burgueño, Juan; Eskridge, Kent M.; Falconi, Esteban; Singh, Pawan; He, Xinyao, 2015, "Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction", hdl:11529/10575, CIMMYT Research Data & Software Repository Network, V2
Genomic tools allow the study of the whole genome and are facilitating the study of genotype-environment combinations and their relationship with the phenotype. However, most genomic prediction models developed so far are appropriate for Gaussian phenotypes. For this reason, appr...
Dataset / Software
Dec 14, 2015
González-Camacho, Juan Manuel; Crossa, José; Pérez-Rodríguez, Paulino; Ornella, Leonardo; Gianola, Daniel, 2015, "Genome-enabled prediction using probabilistic neural network classifiers", hdl: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...
Dataset / Software
Sep 21, 2015
Crossa, José; Campos, Gustavo de los; Maccaferri, Marco; Tuberosa, Roberto; Burgueño, Juan; Pérez-Rodríguez, Paulino, 2015, "Extending the Marker × Environment Interaction Model for Genomic-Enabled Prediction and Genome Wide Association Analyses in Durum Wheat", hdl:11529/10233, CIMMYT Research Data & Software Repository Network, V6
The marker × environment interaction (M×E) genomic model can be used to generate predictions for untested individuals and identify genomic regions whose effects are stable across environments and others that show environmental specificity. The objectives of this study were: (1) t...
Dataset / Software
Mar 21, 2019
CIMMYT Global Maize Program, 2015, "CIMMYT Maize Lines (CMLs) - Pedigree and characterization data", hdl:11529/10246, CIMMYT Research Data & Software Repository Network, V10
CIMMYT has periodically announced CIMMYT Maize Lines (CMLs). CMLs are carefully selected inbred lines with good general combining ability and a significant number of value-adding traits such as drought tolerance, N use efficiency, acid soil tolerance, resistance to diseases, inse...
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