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1 to 8 of 8 Results
Dataset / Software
Dec 8, 2018 - CIMMYT Research Data
Yuan, Yibing; Cairns, Jill E.; Babu, Raman; Gowda, Manje; Makumbi, Dan; Magorokosho, Cosmos; Zhang, Ao; Liu, Yubo; Wang, Nan; Hao, Zhuanfang; San Vicente, Felix; Olsen, Michael S.; Prasanna, Boddupalli M. ; Lu, Yanli; Zhang, Xuecai, 2018, "Replication Data for: Genome-Wide Association Mapping And Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Flowering Time Under Drought and Heat Stress Conditions in Maize", hdl:11529/10548156, CIMMYT Research Data & Software Repository Network, V1
Drought stress, heat stress, and combination of drought stress and heat stress have been recognized as the major abiotic constraints to maize yields in the main production regions. The phenotypic data used in the current study had been published by Jill E. Cairns et al in 2013 in...
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; 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
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
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; 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, V1, UNF:6:C58avb0K+SbICgDA0lvwPA==
Maize landraces were evaluated for drought tolerance in three locations in 2015.
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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