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1 to 10 of 305 Results
Dataset / Software
Dec 13, 2016
Sukumaran, Sivakumar; Crossa, Jose; Jarquin, Diego; Reynolds, Matthew, 2016, "Yield data for pedigree-based prediction models with genotype × environment interaction in multi-environment trials of CIMMYT wheat", hdl:11529/10831, CIMMYT Research Data & Software Repository Network, V1
This study contains spring wheat yield data (1st, 2nd, and 3rd WYCYTs and 1st, 2nd, 3rd and 4th SATYNs) from 136 international environments that were used to evaluate the predictive ability of different models in diverse environments by modeling G×E using the pedigree-derived add...
Dataset / Software
Jan 29, 2020
Mondal, Suchismita; Krause, Margaret ; Juliana, Philomin; Poland, Jesse; Dreisigacker, Susanne; Singh, Ravi, 2018, "Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication", hdl:11529/10548109, CIMMYT Research Data & Software Repository Network, V3, UNF:6:B5QMbKdbnM8gmYhNGOItIw==
Genomic, pedigree, grain yield and hyperspectral data for the manuscript
Dataset / Software
Jan 30, 2019
Dreisigacker, Susanne; Sharma, Rajiv Kumar; Huttner, Eric; Karimov, Aziz; Singh, Pawan; Sansaloni, Carolina; Shrestha, Rosemary; Sonder, Kai; Braun, Hans-Joachim, 2019, "Sustainable Wheat & Maize Production in Afghanistan (ACIAR funded, Project number: CIM/2011/026)", hdl:11529/10548167, CIMMYT Research Data & Software Repository Network, V1
Since 2012, Australian support has resulted in the release of 23 wheat varieties by Afghanistan’s National Varietal Release Committee (NVRC). These varieties deliver both improved yield and disease tolerance. A 2015/16 farmer survey confirmed that farmers were indeed sharing seed...
Dataset / Software
Oct 8, 2018
Cerón-Rojas, J.Jesús; Toledo, Fernando; Crossa, Jose, 2018, "Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices", hdl:11529/10548136, CIMMYT Research Data & Software Repository Network, V1
This dataset provides supplemental information related to an investigation of constrained multistage linear phenotypic selection indices.
Dataset / Software
Sep 28, 2018
Montesinos-López, Osval A ; Montesinos-López, Abelardo; Crossa, Jose; Gianola, Daniel ; Hernández-Suárez, Carlos M.; Martín-Vallejo, Javier, 2018, "Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits", hdl:11529/10548134, CIMMYT Research Data & Software Repository Network, V1
This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy.
Dataset / Software
Sep 21, 2018
Basnet, Bhoja Raj; Crossa, Jose; Pérez-Rodríguez, Paulino; Manes, Yann; Singh, Ravi ; Rosyara, Umesh; Camarillo-Castillo, Fatima; Murua, Mercedes, 2018, "Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models", hdl:11529/10548129, CIMMYT Research Data & Software Repository Network, V1
Genomic prediction of hybrids unobserved in field evaluations is crucial. In this study, we used genomic G×E models for hybrid prediction, where similarity between lines was assessed by pedigree and molecular markers, and similarity between environments was accounted for by envir...
Dataset / Software
Mar 24, 2020
Jarquin, Diego; Howard, Reka; Beyene, Yoseph; Gowda, Manje; Burgueño, Juan; Martini, Johannes; Pacheco, Angela; Covarrubias, Eduardo G.; Crossa, Jose, 2020, "Sparse designs for genomic selection using multi-environment data", hdl:11529/10548369, CIMMYT Research Data & Software Repository Network, V3
This research study the genomic-enabled prediction accuracy of the composition of the following sparse testing allocation design: (1) all non-overlapping (0 overlapping) lines in environments, (2) all overlapping (0 non-overlapping) lines tested in all the environments, and (3) c...
Dataset / Software
Jun 25, 2019
Lobell, David B.; Banziger, Marianne; Magorokosho, Cosmos; Vivek, Bindiganavile, 2019, "Replication Data for: Nonlinear heat effects on African maize as evidenced by historical yield trials", hdl:11529/10548190, CIMMYT Research Data & Software Repository Network, V1
This dataset provides supplementary files for the trials and sites described in the 2011 paper in https://www.nature.com/nclimate/ available at https://dx.doi.org/10.1038/NCLIMATE1043
Dataset / Software
Jul 12, 2019
Howard, Reka; Gianola, Daniel; Montesinos-López, Osval; Juliana, Philomin; Singh, Ravi; Poland, Jesse; Shrestha, Sandesh; Perez-Rodriguez, Paulino; Crossa, Jose; Jarquin, Diego, 2019, "Replication Data for: Joint use of genome, pedigree and their interaction with environment for predicting the performance of wheat lines in new environments", hdl:11529/10548169, CIMMYT Research Data & Software Repository Network, V3
In this study, we evaluated genome-based prediction using 35,403 wheat lines from the Global Wheat Breeding Program of the International Maize and Wheat Improvement Center (CIMMYT). We implemented eight statistical models that included genome-wide molecular marker and pedigree in...
Dataset / Software
May 15, 2020
Mageto, Edna K.; Crossa, Jose; Perez-Rodriguez, Paulino; Dhliwayo, Thanda; Palacios-Rojas, Natalia; Lee, Michael; Guo, Rui; San Vicente, Félix; Zhang, Xuecai; Hindu, Vemuri, 2020, "Replication Data for: Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm", hdl:11529/10548331, CIMMYT Research Data & Software Repository Network, V1
The Zinc association mapping (ZAM) panel is a set of 923 elite inbred lines from the International Maize and Wheat Improvement Center (CIMMYT) biofortification breeding program. The panel represented wide genetic diversity for kernel Zn and is comprised of several lines with tole...
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