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1 to 10 of 10 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
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
Mar 21, 2019 - CIMMYT Research Data
CIMMYT Global Maize Program, 2015, "CIMMYT Maize Lines (CMLs) - Pedigree and characterization data", hdl:11529/10246, CIMMYT Research Data & Software Repository Network, V10
CIMMYT has periodically announced CIMMYT Maize Lines (CMLs). CMLs are carefully selected inbred lines with good general combining ability and a significant number of value-adding traits such as drought tolerance, N use efficiency, acid soil tolerance, resistance to diseases, inse...
Dataset / Software
Dec 31, 2018 - CIMMYT Seeds of Discovery
Molnar, Terence; Carvalho Andrade, Marcela; Burgueño, Juan; Crossa, Jose; Velazquez, Manuel; Trachsel, Samuel; Sifuentes, Ernesto; Vidal, Victor ; Fuentes, Mario; Dupont-Pioneer; Mezzalama, Monica; Costich, Denise; Hearne, Sarah, 2018, "Evaluation of maize landraces and pre-breeding materials under the Seeds of Discovery initiative in 2016", hdl:11529/10548163, CIMMYT Research Data & Software Repository Network, V1
These data describe the evaluation of landraces and landrace-derived pre-breeding materials for biotic and abiotic stress resistance as well as for general yield potential in 2016. Populations and accessions of interest for terminal drought and Tar Spot tolerance were evaluated f...
Dataset / Software
Dec 19, 2018 - CIMMYT Seeds of Discovery
Molnar, Terence; Trachsel, Samuel; Burgueño, Juan; Sifuentes Ibarra, Ernesto; Vidal, Victor A.; Macías Cervantes, Jaime, 2018, "Evaluation of Maize Landraces for Drought Tolerance in 2015", hdl:11529/2177350, CIMMYT Research Data & Software Repository Network, V2
Maize landraces were evaluated for drought tolerance in three locations in 2015.
Dataset / Software
Oct 26, 2018 - CIMMYT Research Data
Montesinos-López, Osval A ; Montesinos-López, Abelardo; Crossa, Jose; Cuevas, Jaime; Montesinos-López, José Cricelio; Gutiérrez, Zitlalli Salas; Lillemo, Morten; Juliana, Philomin; Singh, Ravi, 2018, "A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data", hdl:11529/10548141, CIMMYT Research Data & Software Repository Network, V1
A new statistical model is presented for genomic prediction on maize and wheat data comprising multi-trait, multi-environment data.
Dataset / Software
Oct 8, 2018 - CIMMYT Research Data
Cerón-Rojas, J.Jesús; Toledo, Fernando; Crossa, Jose, 2018, "Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices", hdl:11529/10548136, CIMMYT Research Data & Software Repository Network, V1
This dataset provides supplemental information related to an investigation of constrained multistage linear phenotypic selection indices.
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
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
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.
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