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1 to 10 of 17 Results
Dataset / Software
May 30, 2020
Montesinos-López, Osval A ; Montesinos-López, José Cricelio; Singh, Pawan; Lozano-Ramirez, Nerida; Barrón-López, Alberto; Montesinos-López, Abelardo; Crossa, Jose, 2020, "Replication Data for: A multivariate Poisson deep learning model for genomic prediction of count data", hdl:11529/10548438, CIMMYT Research Data & Software Repository Network, V1
Genomic selection (GS) is an important method used in plant and animal breeding. The experimental data provided in this study contain counting data. These datasets were used to support research on efficient methodologies for multivariate count data outcomes including a multivaria...
Dataset / Software
May 24, 2020
Cuevas, Jaime; Montesinos-López, Osval A.; Martini, Johannes; Pérez-Rodríguez, Paulino; Lillemo, Morten; Crossa, Jose, 2020, "Replication Data for: Approximate kernels for large data sets In genome-based prediction", hdl:11529/10548425, CIMMYT Research Data & Software Repository Network, V1
The rapid development of molecular markers and sequencing technologies has made it possible to use genomic selection (GS) and genomic prediction (GP) in animal and plant breeding. However, computational difficulties arise when the number of observations is large. This five datase...
Dataset / Software
May 11, 2020
Ibba, Maria Itria; Crossa, Jose; Montesinos-López, Osval A.; Montesinos-López, Abelardo; Juliana, Philomin; Guzman, Carlos; Dolorean, Emily; Dreisigacker, Susanne ; Poland, Jesse, 2020, "Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years", hdl:11529/10548423, CIMMYT Research Data & Software Repository Network, V1
The use of genomic prediction could greatly help to increase the efficiency of selecting for wheat quality traits by reducing the cost and time required for this analysis. This study contains data used to evaluate the prediction performances of 13 wheat quality traits under two m...
Dataset / Software
May 2, 2020
Villar-Hernández, Bartolo de Jesús; Crossa, Jose; Pérez-Elizalde, Sergio; García-Calvillo, Irma Delia; Toledo, Fernando; Perez-Rodriguez, Paulino, 2020, "Replication Data for: Multi-trait Bayesian decision for parental selection", hdl:11529/10548420, CIMMYT Research Data & Software Repository Network, V1
The files included in this study contains the data used with three promising multivariate loss functions: Kullback-Leibler (KL); the Energy Score; and the Multivariate Asymmetric Loss (MALF); to select the best performing parents for the next breeding cycle in two extensive real...
Dataset / Software
Apr 11, 2020
Puhl, Laura E; Crossa, Jose; Sebastian, Munilla; Cantet, R. J. C., 2020, "Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels", hdl:11529/10548407, CIMMYT Research Data & Software Repository Network, V2
Synthetic hexaploid wheat was developed and used in breeding to introduce new genetic diversity into bread wheat, through interspecific hybridization of T. tauschii (diploid) and durum wheat T. turgidum (tetraploid) to produce synthetic derivatives. Therefore, one may infer that...
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
Mar 3, 2020
Krause, Margaret R.; Mondal, Suchismita; Crossa, Jose; Singh, Ravi ; Pinto, Francisco; Haghighattalab, Atena; Shrestha, Sandesh; Rutkoski, Jessica; Gore, Michael A.; Sorrells, Mark E.; Poland, Jesse, 2020, "Aerial High-Throughput Phenotyping Enabling Indirect Selection for Grain Yield at the Early-generation Seed-limited Stages in Breeding Program - data for publication", hdl:11529/10548379, CIMMYT Research Data & Software Repository Network, V1
The files contain pedigree information on lines used in the study, trait data for grain yield, spectral traits and other agronomic data and genotypic data
Dataset / Software
Jan 31, 2020
Sehgal, Deepmala; Rosyara, Umesh; Mondal, Suchismita; Singh, Ravi; Poland, Jesse; Dreisigacker, Susanne, 2020, "Genomic selection models based on integration of GWAS loci and epistatic interactions", hdl:11529/10548366, CIMMYT Research Data & Software Repository Network, V1
The potential to integrate consistent associations identified from GWAS as fixed variables in GP models to improve prediction accuracy for complex traits (for example, grain yield) has not been investigated comprehensively in wheat. Here, we untangled the genetic architecture of...
Dataset / Software
Dec 17, 2019
Singh, Ravi; Mondal, Suchismita; Crespo, Leonardo; Kummar, Uttam; Imtiaz, Muhammad; Lan, Caixia; Randhawa, Mandeep; Bhavani, Sridhar; Singh, Pawan K.; Huerta, Julio; He, Xinyao; Rahman, Mokhles; Pinto, Francisco; Perez Gonzalez, Lorena; Juliana, Philomin; Singh, Daljit; Lucas, Mark; Kumar Bhati, Pradeep; Altschuler, Josiah; Poland, Jesse, 2016, "Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program", hdl:11529/10696, CIMMYT Research Data & Software Repository Network, V7, UNF:6:3VbaGOICYWiowZjh8EN+lA==
Phenotypic data were collected in on-station field trials for advanced breeding lines from the CIMMYT Bread Wheat breeding program over several years.
Dataset / Software
Dec 6, 2019
Cerón-Rojas, J. Jesus; Crossa, Jose, 2019, "Combined Multistage Linear Genomic Selection Indices to Predict the Net Genetic Merit in Plant Breeding", hdl:11529/10548356, CIMMYT Research Data & Software Repository Network, V1
Multistage selection is a cost-saving strategy for improving several traits because it is not necessary to measure all traits at each stage. A combined linear genomic selection index is a linear combination of phenotypic and genomic estimated breeding values useful to predict the...
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