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1 to 10 of 47 Results
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
Sep 21, 2018 - CIMMYT Research Data
Basnet, Bhoja Raj; Crossa, Jose; 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
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
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
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
Oct 30, 2018 - CIMMYT Research Data
Singh, Ravi; Mondal, Suchismita; Crespo, Leonardo; Kummar, Uttam; Imtiaz, Muhammad; Lan, Caixia; Randhawa, Mandeep; Bhavani, Sridhar; Singh, Pawan K.; Huerta, Julio; He, Xinyao; Rahman, Mokhles; Pinto, Francisco; Perez Gonzalez, Lorena; Juliana, Philomin; Singh, Daljit; Lucas, Mark; Poland, Jesse, 2016, "Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program", hdl:11529/10696, CIMMYT Research Data & Software Repository Network, V5
Phenotypic data were collected in on-station field trials for advanced breeding lines from the CIMMYT Bread Wheat breeding program over several years.
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
Oct 22, 2018 - CIMMYT Research Data
Montesinos-López, Osval A ; Martín-Vallejo, Javier; Crossa, Jose; Gianola, Daniel ; Hernández-Suárez, Carlos M.; Montesinos-López, Abelardo; Juliana, Philomin; Singh, Ravi, 2018, "New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes", hdl:11529/10548140, CIMMYT Research Data & Software Repository Network, V1
The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments.
Dataset / Software
Nov 12, 2018 - CIMMYT Research Data
Battenfield, Sarah; Sheridan, Jaime; Silva, Luciano ; Miclaus, Kelci; Dreisigacker, Susanne; Wolfinger, Russell; Peña, Roberto; Singh, Ravi; Jackson, Eric; Fritz, Allan; Guzmán, Carlos; Poland, Jesse, 2018, "Grain quality data from CIMMYT bread wheat breeding program (2010-2015)", hdl:11529/10548148, CIMMYT Research Data & Software Repository Network, V1
Bread wheat breeding lines from yield and elite yield trials are analyzed annually for grain quality traits at the Wheat Chemistry and Quality Laboratory of CIMMYT. The analysis done are the following: grain morphology (test weight and thousand kernel weight), grain hardness and...
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