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1 to 10 of 26 Results
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
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
Mar 26, 2019 - CIMMYT Research Data
Guzman, Carlos, 2019, "PPO activity in bread wheat breeding lines from C53IBWSN", hdl:11529/10548173, CIMMYT Research Data & Software Repository Network, V1
Breeding lines cultivated in CENEB (C. Obregon) during cropping cycle 17-18 were analyzed for PPO activity
Dataset / Software
May 3, 2019 - CIMMYT Research Data
Dreisigacker, Susanne, 2019, "Multiplication trial of the 51ST IBWSN – Gene-based marker data for marker-assisted selection", hdl:11529/10548182, CIMMYT Research Data & Software Repository Network, V1
The genotypes from the International Bread Wheat Screening Nursery (IBWSN) multiplication trial, which is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) that represents diversity for a wide range...
Dataset / Software
May 3, 2019 - CIMMYT Research Data
Dreisigacker, Susanne, 2019, "Multiplication trial of the 50TH IBWSN – Gene-based marker data for marker-assisted selection", hdl:11529/10548181, CIMMYT Research Data & Software Repository Network, V1
The genotypes from the International Bread Wheat Screening Nursery (IBWSN) multiplication trial, which is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) that represents diversity for a wide range...
Dataset / Software
May 2, 2019 - CIMMYT Research Data
Dreisigacker, Susanne, 2019, "Multiplication trial of the 49TH IBWSN – Gene-based marker data for marker-assisted selection", hdl:11529/10548171, CIMMYT Research Data & Software Repository Network, V2
The genotypes from the International Bread Wheat Screening Nursery (IBWSN) multiplication trial, which is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) that represents diversity for a wide range...
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
Jun 7, 2019 - CIMMYT Research Data
Liu, Caiyun; Sukumaran, Sivakumar; Reynolds, Matthew, 2019, "Genetic data and the linkage map of Seri/Babax population", hdl:11529/10548196, CIMMYT Research Data & Software Repository Network, V1
These datasets include an updated linkage map for the Seri/Babax RIL population and the raw genotype data we used to construct the map. (1) We updated the genetic map of Seri/Babax population with 1748 non-redundant markers (1165 90K SNPs, 207 DArTseq SNPs, 183 AFLP, 111 DArT arr...
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
Jul 18, 2019 - CIMMYT Research Data
Cuevas, Jaime; Montesinos-López, Osval A; Juliana, Philomin; Pérez-Rodríguez, Paulino; Burgueño, Juan; Guzman, Carlos; Montesinos-López, Abelardo; Crossa, Jose, 2019, "Deep kernel of genomic and near infrared predictions in multi-environment breeding trials", hdl:11529/10548180, CIMMYT Research Data & Software Repository Network, V4
In genomic prediction deep learning artificial neural network are part of machine learning methods that incorporate parametric, non-parametric and semi-parametric statistical models. Kernel methods are seeing more flexible, and easier to interpret than neural networks. Kernel met...
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