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1,001 to 1,010 of 1,114 Results
Significant SNPs from SeeD GWAS Analysis of Flowering Time
Mar 24, 2017 - CIMMYT Research Data
Romero Navarro, J. Alberto; Willcox, Martha; Burgueño, Juan; Romay, Cinta; Swarts, Kelly; Trachsel, Samuel; Preciado, Ernesto; Terron, Arturo; Vallejo Delgado, Humberto; Vidal, Victor; Ortega, Alejandro; Espinoza Banda, Armando; Gómez Montiel, Noel Orlando; Ortíz-Monasterio Rosas, José Ivan; San Vicente, Felix; Guadarrama Espinoza, Armando; Atlin, Gary; Wenzl, Peter; Hearne, Sarah; Buckler, Ed, 2017, "Significant SNPs from SeeD GWAS Analysis of Flowering Time", https://hdl.handle.net/11529/10906, CIMMYT Research Data & Software Repository Network, V1
The files included in this study provide significant SNPs from the gene-level analysis for days to anthesis, days to silking, altitude, and latitude within the SeeD GWAS panel. Markers shown are only those found outside high LD regions as defined in the paper: A study of allelic...
Imputed GbS derived SNPs for maize landrace accessions represented in the SeeD-maize GWAS panel: Imputation using Beagle v.4
Mar 23, 2017 - CIMMYT Research Data
Hearne, Sarah; Chen, Charles; Buckler, Edward; Mitchell, Sharon; Romero Navarro, J. Alberto; Swarts, Kelly; Li, Huihui, 2014, "Imputed GbS derived SNPs for maize landrace accessions represented in the SeeD-maize GWAS panel: Imputation using Beagle v.4", https://hdl.handle.net/11529/10035, CIMMYT Research Data & Software Repository Network, V3
Obtain imputed SNP profiles using Beagle v.4 from genotyping-by-sequencing of the accession parents of the SeeD GWAS testcross panel.
Imputed GbS derived SNPs for maize landrace accessions represented in the SeeD-maize GWAS panel: Imputation using FILLIN
Mar 23, 2017 - CIMMYT Research Data
Hearne, Sarah; Buckler, Edward; Chen, Charles; Mitchell, Sharon; Swarts, Kelly; Li, Huihui; Romero Navarro, J. Alberto, 2014, "Imputed GbS derived SNPs for maize landrace accessions represented in the SeeD-maize GWAS panel: Imputation using FILLIN", https://hdl.handle.net/11529/10036, CIMMYT Research Data & Software Repository Network, V3
Obtain imputed SNP profiles from genotyping-by-sequencing of the accession parents of the SeeD GWAS testcross panel.
KDSmart: Training Materials and Sample Files
Mar 2, 2017 - CIMMYT Research Data
Hearne, Sarah; Molnar, Terence; Garay, Carlos; Dreher, Kate; Ayala, Claudio, 2016, "KDSmart: Training Materials and Sample Files", https://hdl.handle.net/11529/10669, CIMMYT Research Data & Software Repository Network, V4
KDSmart is an app that can be used for data collection on any Android-based tablet or smartphone. It has many helpful features for capturing data in field and lab settings. This study contains documents and presentations that describe how KDSmart can be used and includes example...
Genomic-enabled prediction in maize using kernel models with genotype × environment interaction
Feb 16, 2017 - CIMMYT Research Data
Bandeira e Sousa, Massaine; Cuevas, Jaime; Oliveira Couto, Evellyn Giselly de; Pérez-Rodríguez, Paulino; Jarquín, Diego; Fritsche-Neto, Roberto; Burgueño, Juan; Crossa, Jose, 2017, "Genomic-enabled prediction in maize using kernel models with genotype × environment interaction", https://hdl.handle.net/11529/10887, CIMMYT Research Data & Software Repository Network, V1
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Replication data for: Cereal Systems Initiative for South Asia (CSISA) Baseline Household Survey 2010-2011
Feb 15, 2017 - Cereal Systems Initiative for South Asia (CSISA) Research Data
Valerien O. Pede; Vijesh Krishna; Nils Teufel; Patrick S. Ward; Takashi Yamano; Arindam Sammadar; David J. Spielman; Surabhi Mittal; Thelma Paris; Dhiraj Singh; Vartika Singh; Subash Ghimire; Meerah Mehrotra, 2017, "Replication data for: Cereal Systems Initiative for South Asia (CSISA) Baseline Household Survey 2010-2011", https://hdl.handle.net/11529/10881, CIMMYT Research Data & Software Repository Network, V1
The Cereal Systems Initiative for South Asia (CSISA) was launched in 2009 with support from the Bill and Melinda Gates Foundation (BMGF) and the United States Agency for International Development (USAID). CSISA's objective is to develop and deploy more efficient, productive and s...
HTMA MPS2 Cycle 2 genotyping for GEBV estimation
Feb 6, 2017 - CIMMYT Research Data
Nair, Sudha; Babu, Raman; Zaidi, Pervez; Vinayan, Madhumal Thayil, 2017, "HTMA MPS2 Cycle 2 genotyping for GEBV estimation", https://hdl.handle.net/11529/10752, CIMMYT Research Data & Software Repository Network, V1
Cycle 2 formed by inter mating selected Cycle1 genotypes genotyped with 93 SNPs for GEBV estimation for grain yield
HTMA MPS1 Cycle 2 genotyping for GEBV estimation
Feb 6, 2017 - CIMMYT Research Data
Nair, Sudha; Babu, Raman; Zaidi, Pervez; Vinayan, Madhumal Thayil, 2017, "HTMA MPS1 Cycle 2 genotyping for GEBV estimation", https://hdl.handle.net/11529/10750, CIMMYT Research Data & Software Repository Network, V1
Cycle 2 formed by inter mating selected Cycle1 genotypes genotyped with 93 SNPs for GEBV estimation for grain yield
HTMA MPS1 Cycle 1 Genotyping for GEBV estimation
Feb 6, 2017 - CIMMYT Research Data
Nair, Sudha; Babu, Raman; Zaidi, Pervez; Vinayan, Madhumal Thayil, 2017, "HTMA MPS1 Cycle 1 Genotyping for GEBV estimation", https://hdl.handle.net/11529/10743, CIMMYT Research Data & Software Repository Network, V1
Cycle1 formed by inter mating selected S2 families genotypes genotyped with 84 SNPs for GEBV estimation for grain yield
HTMA MPS2 Cycle 1 Genotyping for GEBV estimation
Feb 6, 2017 - CIMMYT Research Data
Nair, Sudha; Babu, Raman; Zaidi, Pervez; Vinayan, Madhumal Thayil, 2017, "HTMA MPS2 Cycle 1 Genotyping for GEBV estimation", https://hdl.handle.net/11529/10751, CIMMYT Research Data & Software Repository Network, V1
Cycle 1 formed by inter mating selected S2 families genotypes genotyped with 84 SNPs for GEBV estimation for grain yield
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