Skip to main content
Share Dataverse

Share this dataverse on your favorite social media networks.

86,186 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 10 of 26 Results
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...
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
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
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
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
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
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
Aug 15, 2019 - CIMMYT Research Data
Crossa, Jose; Martini, Johannes; Gianola, Daniel; Pérez-Rodríguez, Paulino; Burgueño, Juan; Singh, Ravi; Juliana, Philomin; Montesinos-López, Osval; Cuevas, Jaime, 2019, "Deep kernel and deep learning for genomic-based prediction", hdl:11529/10548273, CIMMYT Research Data & Software Repository Network, V1
Deep learning (DL) is a promising method in the context of genomic prediction for selecting individuals early in time without measuring their phenotypes. iI this paper we compare the performance in terms of genome-based prediction of the DL method, deep kernel (arc-cosine kernel,...
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
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...
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