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1 to 10 of 59 Results
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
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
May 16, 2019 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Singh, Ravi; Payne, Thomas, 2017, "23rd Semi-arid Wheat Yield Trial", hdl:11529/10987, CIMMYT Research Data & Software Repository Network, V2
CIMMYT annually distributes improved germplasm developed by its researchers and partners in international nurseries trials and experiments. The Semi-Arid Wheat Yield Trial (SAWYT) contains spring bread wheat (Triticum aestivum) germplasm adapted to low rainfall, drought prone env...
Dataset / Software
Apr 26, 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, V3
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
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
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
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
Feb 7, 2019 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Singh, Ravi; Payne, Thomas, 2018, "37th Elite Selection Wheat Yield Trial", hdl:11529/10548041, CIMMYT Research Data & Software Repository Network, V4
The Elite Selection Wheat Yield Trial (ESWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to Mega-environment 1 (ME1) which represents the optimally irrigated, low rainfall areas. Major stresses include leaf, stem and yellow...
Dataset / Software
Feb 7, 2019 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Singh, Ravi; Payne, Thomas, 2018, "36th Elite Selection Wheat Yield Trial", hdl:11529/10989, CIMMYT Research Data & Software Repository Network, V2
The Elite Selection Wheat Yield Trial (ESWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to Mega-environment 1 (ME1) which represents the optimally irrigated, low rainfall areas. Major stresses include leaf, stem and yellow...
Dataset / Software
Feb 7, 2019 - CIMMYT Research Data
Global Wheat Program; IWIN Collaborators; Singh, Ravi; Payne, Thomas, 2017, "35th Elite Selection Wheat Yield Trial", hdl:11529/10988, CIMMYT Research Data & Software Repository Network, V3
The Elite Selection Wheat Yield Trial (ESWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to Mega-environment 1 (ME1) which represents the optimally irrigated, low rainfall areas. Major stresses include leaf, stem and yellow...
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