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1 to 10 of 45 Results
Dataset / Software
Jan 17, 2018 - CIMMYT Research Data
Ammar, Karim; Guzman, Carlos; Dreisigacker, Susanne; Huerta, Julio; Bekele, Abeyo; Badebo, Ayele; Yahyaoui, Amor, 2018, "Phenotypic and genotypic data from the CIMMYT Durum Wheat Breeding Program", hdl:11529/10944, CIMMYT Research Data & Software Repository Network, V1
Phenotypic data collected in on-station field trials and genotypic data for breeding materials from the CIMMYT Durum Wheat breeding program are included in this study.
Dataset / Software
Feb 7, 2018 - CIMMYT Seeds of Discovery
Molnar, Terence; Fuentes, Mario, 2018, "Evaluation of Maize Landraces and Related Pre-breeding Materials for Tar Spot Resistance in 2015", hdl:11529/10847, CIMMYT Research Data & Software Repository Network, V1, UNF:6:J9ZYZVx1huHrIdQM9mgyMA==
This study provides phenotypic data from Tar Spot trials conducted in 2015 as part of the Seeds of Discovery / MasAgro Biodiversidad project.
Dataset / Software
Apr 16, 2018 - International Wheat Yield Partnership Research Data
Gardiner, Laura-Jayne ; Joynson, Ryan ; Omony, Jimmy ; Rusholme-Pilcher, Rachel ; Olohan, Lisa ; Lang, Daniel ; Bai, Caihong ; Hawkesford, Malcolm ; Salt, David; Spannagl, Manuel ; Mayer, Klaus; Kenny, John ; Bevan, Michael ; Hall, Neil; Hall, Anthony , 2018, "Replication Data for: Hidden variation in polyploid wheat drives local adaptation", hdl:11529/10548000, CIMMYT Research Data & Software Repository Network, V1
Wheat has been domesticated into a large number of agricultural environments and has a remarkable ability to adapt to diverse environments. To understand this process, we survey genotype, repeat content and DNA methylation across a bread wheat landrace collection representing glo...
Dataset / Software
Apr 18, 2018 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Ammar, Karim; Payne, Thomas, 2018, "48th International Durum Screening Nursery", hdl:11529/10548033, CIMMYT Research Data & Software Repository Network, V1
International Durum Screening Nursery (IDSN) distributes diverse CIMMYT-bred spring durum wheat germplasm adapted to irrigated and variable moisture stressed environments. Disease resistance and high industrial pasta quality are essential traits possessed in this germplasm. It is...
Dataset / Software
Jun 13, 2018 - CIMMYT Research Data
Montesinos-López, Abelardo; Montesinos-López, Osval A; Gianola, Daniel; Crossa, Jose, 2018, "Deep learning genomic-enabled prediction of plant traits", hdl:11529/10548082, CIMMYT Research Data & Software Repository Network, V1
Machine learning (ML) is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) from data, without being explicitly programmed to do this. ML is closely related to (...
Dataset / Software
Jun 14, 2018 - CIMMYT Seeds of Discovery
Hearne, Sarah; Sonder, Kai; Wilson, Julien, 2018, "SeeD GWAS Panel Accession Collection Site GIS-Derived Environmental Data", hdl:11529/10548079, CIMMYT Research Data & Software Repository Network, V1
Historic accession collection site environmental data derived from CRU and other data resources.
Dataset / Software
Jul 16, 2018 - CIMMYT Research Software
Makumbi, Dan; Alvarado, Gregorio; Crossa, José; Burgueño, Juan, 2018, "Program and sample data for SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis", hdl:11529/10548045, CIMMYT Research Data & Software Repository Network, V4, UNF:6:qb2UIHULo/KZ3V04rm33PA==
SASHAYDIALL is a code written in SAS to perform diallel analysis according to the method of Hayman (1954). The SASHAYDIALL program was written in SAS/IML and runs in SAS version 9.0 or higher. The SASHAYDIALL program requires an input ‘csv’ format data file that has replication,...
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
Sep 28, 2018 - CIMMYT Research Data
Montesinos-López, Osval A ; Montesinos-López, Abelardo; Crossa, Jose; Gianola, Daniel ; Hernández-Suárez, Carlos M.; Martín-Vallejo, Javier, 2018, "Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits", hdl:11529/10548134, CIMMYT Research Data & Software Repository Network, V1
This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy.
Dataset / Software
Oct 3, 2018 - International Wheat Yield Partnership Research Data
Baenziger, Stephen; Belamkar, Vikas, 2018, "Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing", hdl:11529/10548065, CIMMYT Research Data & Software Repository Network, V1
Genotyping-by-sequencing (GBS) data, variant calls and Single Nucleotide Polymorphism (SNP) calls of parental lines grown in the hybrid crossing block in 2017.
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