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Report
Management and use of international trial data for improving breeding efficiency
(CIMMYT, 1992)
The Germplasm Improvement Subprogram organized a workshop and think-tank on management and use of international trial data for increasing breeding efficiency at Ciudad Obregon, Mexico on January 21-22, 1992. Participants ...
Article
Genomic-enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R
(Crop Science Society of America, 2010)
The availability of dense molecular markers has made possible the use of genomic selection in plant and animal breeding. However, models for genomic selection pose several computational and statistical challenges and require ...
Presentation
Statistical, biometrical and genomic methods II
(CIMMYT, 2019)
Article
A benchmarking between deep learning, support vector machine and bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding
(Genetics Society of America, 2019)
Genomic selection is revolutionizing plant breeding. However, still lacking are better statistical models for ordinal phenotypes to improve the accuracy of the selection of candidate genotypes. For this reason, in this ...
Article
Regularized selection indices for breeding value prediction using hyper-spectral image data
(Nature Publishing Group, 2020)
Presentation
Statistical, biometrical and genomic methods III
(CIMMYT, 2019)
Handbook
User's guide for spatial analysis of field variety trials using ASREML
(CIMMYT, 2000)
This manual describes an approach to the spatial analysis of field experiments based on the software package AS residual maximum likelihood (ASREML; Gilmour et al. 1999). It describes common sources of spatial variation ...
Report
The AMMI analysis and graphing the biplot
(CIMMYT, 2000)
With the objective of facilitating researchers of CIMMYT and National Programs to compute the AMMI model and the biplot of multi-environment trials, three programs were written in SAS for computing the AMMI analysis and ...