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51 to 56 of 56 Results
Dataset / Software
Nov 12, 2018 - CIMMYT Research Data
Battenfield, Sarah; Sheridan, Jaime; Silva, Luciano ; Miclaus, Kelci; Dreisigacker, Susanne; Wolfinger, Russell; Peña, Roberto; Singh, Ravi; Jackson, Eric; Fritz, Allan; Guzmán, Carlos; Poland, Jesse, 2018, "Grain quality data from CIMMYT bread wheat breeding program (2010-2015)", hdl:11529/10548148, CIMMYT Research Data & Software Repository Network, V1
Bread wheat breeding lines from yield and elite yield trials are analyzed annually for grain quality traits at the Wheat Chemistry and Quality Laboratory of CIMMYT. The analysis done are the following: grain morphology (test weight and thousand kernel weight), grain hardness and...
Dataset / Software
Oct 22, 2018 - CIMMYT Research Data
Montesinos-López, Osval A ; Martín-Vallejo, Javier; Crossa, Jose; Gianola, Daniel ; Hernández-Suárez, Carlos M.; Montesinos-López, Abelardo; Juliana, Philomin; Singh, Ravi, 2018, "New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes", hdl:11529/10548140, CIMMYT Research Data & Software Repository Network, V1
The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments.
Dataset / Software
May 16, 2019 - CIMMYT Research Data
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; Poland, Jesse, 2016, "Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program", hdl:11529/10696, CIMMYT Research Data & Software Repository Network, V6
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
Aug 26, 2019 - CIMMYT Seeds of Discovery
Rosyara, Umesh; Kishii, Masahiro; Payne, Thomas; Sansaloni, Carolina Paola; Singh, Ravi; Braun, Hans-Joachim; Dreisigacker, Susanne, 2019, "Replication Data for: Genetic contribution of synthetic hexaploid wheat to CIMMYT’s spring bread wheat breeding germplasm", hdl:11529/10548269, CIMMYT Research Data & Software Repository Network, V1
A total of 359 genotypes used in this study included three Ae. tauschii lines, 30 durum wheat lines, eight synthetic hexaploid wheat, 253 synthetic derivative lines, and 63 bread wheat lines. All entries were genotyped with the DArTseq® technology at the Genetic Analysis Service...
Dataset / Software
Jul 12, 2019 - CIMMYT Research Data
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
Sep 21, 2018 - CIMMYT Research Data
Basnet, Bhoja Raj; Crossa, José; 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...
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