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Ángela Pacheco
Researcher at International Maize and Wheat Improvement Center
Publications - 16
Citations - 445
Ángela Pacheco is an academic researcher from International Maize and Wheat Improvement Center. The author has contributed to research in topics: Set (abstract data type) & Software. The author has an hindex of 7, co-authored 16 publications receiving 234 citations.
Papers
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Journal ArticleDOI
META-R: A software to analyze data from multi-environment plant breeding trials
Gregorio Alvarado,Francisco M. Rodríguez,Francisco M. Rodríguez,Ángela Pacheco,Juan Burgueño,José Crossa,Mateo Vargas,Mateo Vargas,Paulino Pérez-Rodríguez,Marco Lopez-Cruz +9 more
TL;DR: META-R performs multi-environment analyses by using the residual maximum likelihood (REML) method; these analyses can be done by environment, across environments by grouping factors and across environments; the analyses across environments can bedone with a pre-defined degree of heritability.
Dataset
META-R (Multi Environment Trail Analysis with R for Windows) Version 6.04
Gregorio Alvarado,Marco López,Mateo Vargas,Ángela Pacheco,Francisco Soler Rodríguez,Juan Burgueño,José Crossa +6 more
TL;DR: META-R is a set of R programs that performs statistical analyses to calculate BLUEs, BLUPs, genetic correlations among locations and genetic correlations between variables, broad-sense heritability, and other statistics for breeding trials.
Journal ArticleDOI
Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials
Diego Jarquin,Reka Howard,José Crossa,Yoseph Beyene,Manje Gowda,Johannes W. R. Martini,Giovanny Covarrubias Pazaran,Juan Burgueño,Ángela Pacheco,Martin Grondona,Valentin Wimmer,Boddupalli M. Prasanna +11 more
TL;DR: The results showed that the genome-based model including GE (M3) captured more phenotypic variation than the models that did not include this component and provided higher prediction accuracy than models M1 and M2 for the different allocation scenarios.
Dataset
GEA-R (Genotype x Environment Analysis with R for Windows) Version 4.1
Ángela Pacheco,Mateo Vargas,Gregorio Alvarado,Francisco Soler Rodríguez,José Crossa,Juan Burgueño +5 more
TL;DR: In agricultural experimentation, a large number of genotypes are normally tested over a wide range of environments, and the occurrence of the genotype (G) X environment (E) interaction (GEI) effect further complicates the selection of superior genoty pes for a target population of environments.
Dataset
AGD-R (Analysis of Genetic Designs with R for Windows) Version 5.0
TL;DR: AGD-R is a set of R programs that performs statistical analyses to calculate Diallel, Line by Tester, North Carolina and contains a graphical JAVA interface that helps the user to easily choose input files, which analysis to implement, and which variables to analyze.