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1 to 10 of 48 Results
Dataset / Software
Aug 8, 2018 - CIMMYT Research Data
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, V1, UNF:6:8FQnlOz1lbWukHmg8g1hbw==
Genomic, pedigree, grain yield and hyperspectral data for the manuscript
Dataset / Software
Sep 21, 2018 - CIMMYT Research Data
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
Oct 10, 2017 - CIMMYT Research Data
Montesinos-Lopez, Osval A.; Montesinos-Lopez, Abelardo; Crossa, Jose; Montesinos-Lopez, Jose C.; Mota-Sanchez, David; Estrada-Gonzalez, Fermin; Gilberg, Jussi; Singh, Ravi; Mondal, Suchismita; Juliana, Philomin, 2017, "Prediction of multiple-trait and multiple-environment genomic data using recommender systems", hdl:11529/11099, CIMMYT Research Data & Software Repository Network, V2
In genomic-enabled prediction, the task of improving the accuracy of the prediction of lines in environments is difficult because the available information is generally sparse and usually has low correlations between traits. In current genomic selection, while researchers have a...
Dataset / Software
Oct 30, 2018 - 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, V5
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
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
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 30, 2018 - CIMMYT Research Data
Poland, Jesse; Dreisigacker, Susanne; Shrestha, Sandesh; Wu, Shuangye; Singh, Ravi; Mondal, Suchismita; Juliana, Philomin; Crossa, Jose; Rutkoski, Jessica, 2016, "Genotypic data from CIMMYT bread wheat breeding lines used in the Feed the Future Innovation Lab for Applied Wheat Genomics", hdl:11529/10695, CIMMYT Research Data & Software Repository Network, V2
Genetic profiling of wheat breeding lines from the CIMMYT bread wheat breeding program was carried out over several years. Unimputed genotypic data in the VCF format (CIMMYT-2013-2018.hmp.vcf) for 91,680 markers are available upon request. We could not upload and publish the unim...
Dataset / Software
Jul 11, 2016 - CIMMYT Research Data
Crossa, Jose; Pérez-Rodriguez, Paulino; de los Campos, Gustavo; Burgueño, Juan; Roorkiwal, Manish; Montesinos-Lopez, Osval; Beyene, Yoseph; Pandey, Manish K.; Singh, Vikas K.; Jarquín, Diego; Zhang, Xuecai; Rutkoski, Jessica; Singh, Ravi; Varshney, Rajeev K., 2016, "Genomic Selection in Plant Breeding: Advances and Perspectives", hdl:11529/10687, CIMMYT Research Data & Software Repository Network, V1
Dataset / Software
Oct 26, 2018 - CIMMYT Research Data
Montesinos-López, Osval A ; Montesinos-López, Abelardo; Crossa, Jose; Cuevas, Jaime; Montesinos-López, José Cricelio; Gutiérrez, Zitlalli Salas; Juliana,Philomin; Singh, Ravi, 2018, "A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data", hdl:11529/10548141, CIMMYT Research Data & Software Repository Network, V1
A new statistical model is presented for genomic prediction on maize and wheat data comprising multi-trait, multi-environment data.
Dataset / Software
Nov 6, 2018 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Singh, Ravi; Payne, Thomas, 2018, "50th International Bread Wheat Screening Nursery", hdl:11529/10548147, CIMMYT Research Data & Software Repository Network, V1
The International Bread Wheat Screening Nursery (IBWSN) is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) which represents diversity for a wide range of latitudes, climates, daylengths, fertility...
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