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8,481 to 8,490 of 10,508 Results
Mapping file - Sample ID to Germplasm ID.xlsx
Mar 23, 2017 - Imputed GbS derived SNPs for maize landrace accessions represented in the SeeD-maize GWAS panel: Imputation using FILLIN
Unknown - 261.2 KB - MD5: f9a1886915ebbbec2d222f1ec0cd38f4
ID mapping file
Links sample ID in genotypic results file to a Germplasm ID and a testcross ID at CIMMYT
DATASET1to3.Maize.rdata
Mar 9, 2017 - A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Unknown - 376.8 KB - MD5: 0b0889757980aefa3f3bae20d3ecc318
Phenotypic Data
Maize data
DATASET4to5.Wheat.rdata
Mar 9, 2017 - A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Unknown - 459.3 KB - MD5: c59905b897fe95f9d600f78cd42b4fba
Phenotypic Data
Wheat data
DATASET6.Wheat_Yield1.rdata
Mar 9, 2017 - A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Unknown - 5.2 MB - MD5: 4a3ec390c48988b3203c50904a8b78da
Phenotypic Data
Wheat yield data
KDSmart: Training Materials and Sample Files
Mar 2, 2017
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
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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HELdataset.zip
Feb 16, 2017 - Genomic-enabled prediction in maize using kernel models with genotype × environment interaction
Unknown - 3.2 MB - MD5: 5ec14850d84981924150ab72a73ffd3b
Phenotypic Data
HEL dataset
USPdataset.zip
Feb 16, 2017 - Genomic-enabled prediction in maize using kernel models with genotype × environment interaction
Unknown - 8.3 MB - MD5: ea15b012992ef6cfd169e4c2595d2c2b
Phenotypic Data
UPS dataset
HTMA MPS2 Cycle 2 genotyping for GEBV estimation
Feb 6, 2017
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
903.600_Pedigree.csv
Feb 6, 2017 - HTMA MPS2 Cycle 2 genotyping for GEBV estimation
Plain Text - 18.6 KB - MD5: 49a41332d846820f83685010727d4660
Sample pedigree
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