Skip to main content
Share Dataverse

Share this dataverse on your favorite social media networks.

76,232 Downloads
Featured Repositories

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Cannot publish dataverse.

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find Advanced Search

1 to 6 of 6 Results
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...
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
Jun 20, 2019 - CIMMYT Seeds of Discovery
Li, Jing; Chen, Guo-Bo; Rasheed, Awais; Li, Delin; Sonder, Kai; Zavala Espinosa, Cristian; Wang, Jiankang; Costich, Denise E.; Schnable, Patrick S.; Hearne, Sarah; Li, Huihui, 2019, "Replication Data for: Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS", hdl:11529/10548183, CIMMYT Research Data & Software Repository Network, V1
This dataset contains the genotypic data obtained using genotyping-by-sequencing (tGBS®) technology (Data2Bio LLC) and the passport data of a total of 1,143 maize accessions, which were collected from 20 countries, including 11 teosinte inbred lines, 764 landraces sampled from th...
Dataset / Software
Apr 9, 2019 - CIMMYT Seeds of Discovery
Aguirre-Liguori, Jonás A.; Gaut, Brandon S.; Jaramillo-Correa, Juan Pablo; Tenaillon, Maud I.; Montes-Hernández, Salvador; García-Oliva, Felipe; Hearne, Sarah J. ; Eguiarte, Luis E. , 2019, "Replication Data for: Divergence with gene flow is driven by local adaptation to temperature and soil phosphorus concentration in teosinte subspecies (Zea mays parviglumis and Zea mays mexicana)", hdl:11529/10548175, CIMMYT Research Data & Software Repository Network, V1
Dartseq data were used to analyze the demographic history of teosintes, and also identify SNPs under selection to bioclimatic and soil variables (pH, phosphorus and nitrogen concentration in the soil).
Dataset / Software
Feb 27, 2019 - CIMMYT Research Data
Liu, Caiyun; Sukumaran, Sivakumar; Claverie, Etienne; Sansaloni, Carolina; Dreisigacker, Susanne; Reynolds, Matthew , 2019, "Genetic and phenotypic data of Syn/Weebil recombinant inbred lines under drought and heat stresses", hdl:11529/10548170, CIMMYT Research Data & Software Repository Network, V1
We studied a RIL population of 276 entries derived from a cross between SYN-D × Weebill 1. SYN-D (Croc 1/Aegilops Squarrosa (224)//Opata) is a synthetic derived hexaploid wheat with dark green broad leaves without wax. The RILs did not segregate for Rht-B1, Rht-D1, Ppd-A1, Ppd-D1...
Dataset / Software
Jan 30, 2019 - CIMMYT Research Data
Dreisigacker, Susanne; Sharma, Rajiv Kumar; Huttner, Eric; Karimov, Aziz; Singh, Pawan; Sansaloni, Carolina; Shrestha, Rosemary; Sonder, Kai; Braun, Hans-Joachim, 2019, "Sustainable Wheat & Maize Production in Afghanistan (ACIAR funded, Project number: CIM/2011/026)", hdl:11529/10548167, CIMMYT Research Data & Software Repository Network, V1
Since 2012, Australian support has resulted in the release of 23 wheat varieties by Afghanistan’s National Varietal Release Committee (NVRC). These varieties deliver both improved yield and disease tolerance. A 2015/16 farmer survey confirmed that farmers were indeed sharing seed...
Add Data

You need to Sign Up or Log In to create a dataverse or add a dataset.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact CIMMYT Research Data & Software Repository Network Support

CIMMYT Research Data & Software Repository Network Support

Please fill this out to prove you are not a robot.

+ =
Send Message