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1 to 10 of 62 Results
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...
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
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
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
Aug 12, 2019 - CIMMYT Research Data
Montesinos-López, Osval A ; Montesinos-López, Abelardo; Tuberosa, Roberto; Maccaferri, Marco; Sciara, Giuseppe; Ammar, Karim; Crossa, Jose, 2019, "Multi-trait multi-environment genomic prediction of durum wheat", hdl:11529/10548262, CIMMYT Research Data & Software Repository Network, V1
In this paper we cover multi-trait prediction of grain yield (GY), days to heading (DH) and plant height (PH) of 270 durum wheat lines that were evaluated in 43 environments (location-year combinations) in Bologna, Italy. The results of the multi-trait deep learning method also w...
Dataset / Software
Sep 2, 2019 - CIMMYT Research Data
Mondal, Suchismita; Dutta, Somak; Crespo-Herrera, Leonardo; Huerta-Espino, Julio; Braun, Hans J.; Singh, Ravi, 2019, "Fifty years of semi-dwarf spring wheat breeding at CIMMYT: Grain yield progress in optimum, drought and heat stress environments", hdl:11529/10548299, CIMMYT Research Data & Software Repository Network, V1
This dataset provides supplementary files related to fifty years of semi-dwarf spring wheat breeding at CIMMYT: Grain yield progress in optimum, drought and heat stress environments.
Dataset / Software
Nov 22, 2018 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Ammar, Karim; Payne, Thomas, 2018, "50th International Durum Yield Nursery", hdl:11529/10548151, CIMMYT Research Data & Software Repository Network, V1
International Durum Yield Nurseries are replicated yield trials designed to measure the yiel d potential and adaptation of superior CIMMYT-bred spring durum wheat germplasm that have been developed from tests conducted under irrigation and induced stressed cropping conditions in...
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...
Dataset / Software
Aug 29, 2019 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Reynolds, Matthew; Payne, Thomas, 2019, "4th Wheat Yield Collaboration Yield Trial", hdl:11529/10548294, CIMMYT Research Data & Software Repository Network, V1
The WYCYT international nurseries are the result of research conducted to raise the yield potential of spring wheat through the strategic crossing of physiological traits related to source and sink potential in wheat. These trials have been phenotyped in the major wheat-growing m...
Dataset / Software
Nov 16, 2018 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Ammar, Karim; Payne, Thomas, 2018, "49th International Durum Yield Nursery", hdl:11529/10548037, CIMMYT Research Data & Software Repository Network, V4
International Durum Yield Nurseries are replicated yield trials designed to measure the yield potential and adaptation of superior CIMMYT-bred spring durum wheat germplasm that have been developed from tests conducted under irrigation and induced stressed cropping conditions in n...
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