CIMMYT Research Data & Software Repository Network

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Publication Year: 2017

721 to 730 of 1,252 Results

WEExCIM53_transposed.txt Oct 16, 2017 - Populations Axiom SNPs Data - John Innes Centre Plain Text - 823.8 KB - MD5: caf89809bfe8043b6fc4287542ed1efe WeebilxCIMCOG53 Reformatted and transposed 1-letter nucleotide SNPs call matrix
Prediction of multiple-trait and multiple-environment genomic data using recommender systems Oct 10, 2017 - CIMMYT Research Data Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Montesinos-López, José Cricelio; Mota-Sanchez, David; Estrada-Gonzalez, Fermin; Gilberg, Jussi; Singh, Ravi; Mondal, Suchismita; Juliana, Philomin, 2017, "Prediction of multiple-trait and multiple-environment genomic data using recommender systems", https://hdl.handle.net/11529/11099, CIMMYT Research Data & Software Repository Network, V2 In genomic-enabled prediction, the task of improving the accuracy of the prediction of lines in environments is difficult because the available information is generally sparse and usually has low correlations between traits. In current genomic selection, while researchers have a...
Data.Trigo.RData Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems Unknown - 19.1 KB - MD5: f543faa4b1f3c7b38397ae6e5309da2d Phenotypic data Phenotypic wheat data
Gg.RData Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems Unknown - 369.0 KB - MD5: 6a64605058cc14524a8bf9a0c96b6025 Genotypic data Genotypic maize data
G.Trigo.RData Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems Unknown - 451.4 KB - MD5: bbbc8321e114ab9d957ccfd220ace5be Genotypic data Genotypic wheat data
Large_Wheat_data.RData Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems Unknown - 380.1 KB - MD5: f2bbc7f000c4b5437f5191a0b51693e7 Phenotypic data Large phenotypic wheat data
Maize_data.RData Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems Unknown - 7.5 KB - MD5: 93f6462433c6f1f0f693820679f71ea9 Phenotypic data Phenotypic maize data
Genotype x environment interaction and GWAS in a durum panel under yield potential, drought stress, and heat stress conditions Oct 5, 2017 - CIMMYT Research Data Sukumaran, Sivakumar; Reynolds, Matthew P.; Carolina, Sansaloni, 2017, "Genotype x environment interaction and GWAS in a durum panel under yield potential, drought stress, and heat stress conditions", https://hdl.handle.net/11529/11053, CIMMYT Research Data & Software Repository Network, V1 GWAS identifies common loci under stressed and non-stressed environments.
Durum Report-SNP-SW16-97_hapmap_blast.xlsx Oct 5, 2017 - Genotype x environment interaction and GWAS in a durum panel under yield potential, drought stress, and heat stress conditions Unknown - 58.7 MB - MD5: 6657bc96043ea42db9db2f27b0cdcda3 Genotypic Data DArTseq data
MetaRInput.xlsx Oct 5, 2017 - Genotype x environment interaction and GWAS in a durum panel under yield potential, drought stress, and heat stress conditions Unknown - 254.6 KB - MD5: 2239e41917576fe47e7bf9f5a12d49bd Phenotypic Data MetaR input data

WEExCIM53_transposed.txt

Oct 16, 2017 - Populations Axiom SNPs Data - John Innes Centre

Plain Text - 823.8 KB -

WeebilxCIMCOG53

Reformatted and transposed 1-letter nucleotide SNPs call matrix

Prediction of multiple-trait and multiple-environment genomic data using recommender systems

Oct 10, 2017 - CIMMYT Research Data

Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Montesinos-López, José Cricelio; Mota-Sanchez, David; Estrada-Gonzalez, Fermin; Gilberg, Jussi; Singh, Ravi; Mondal, Suchismita; Juliana, Philomin, 2017, "Prediction of multiple-trait and multiple-environment genomic data using recommender systems", https://hdl.handle.net/11529/11099, CIMMYT Research Data & Software Repository Network, V2

In genomic-enabled prediction, the task of improving the accuracy of the prediction of lines in environments is difficult because the available information is generally sparse and usually has low correlations between traits. In current genomic selection, while researchers have a...

Data.Trigo.RData

Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems

Unknown - 19.1 KB -

Phenotypic data

Phenotypic wheat data

Gg.RData

Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems

Unknown - 369.0 KB -

Genotypic data

Genotypic maize data

G.Trigo.RData

Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems

Unknown - 451.4 KB -

Genotypic data

Genotypic wheat data

Large_Wheat_data.RData

Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems

Unknown - 380.1 KB -

Phenotypic data

Large phenotypic wheat data

Maize_data.RData

Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems

Unknown - 7.5 KB -

Phenotypic data

Phenotypic maize data

Genotype x environment interaction and GWAS in a durum panel under yield potential, drought stress, and heat stress conditions

Oct 5, 2017 - CIMMYT Research Data

Sukumaran, Sivakumar; Reynolds, Matthew P.; Carolina, Sansaloni, 2017, "Genotype x environment interaction and GWAS in a durum panel under yield potential, drought stress, and heat stress conditions", https://hdl.handle.net/11529/11053, CIMMYT Research Data & Software Repository Network, V1

GWAS identifies common loci under stressed and non-stressed environments.

Durum Report-SNP-SW16-97_hapmap_blast.xlsx

Oct 5, 2017 - Genotype x environment interaction and GWAS in a durum panel under yield potential, drought stress, and heat stress conditions

Unknown - 58.7 MB -

Genotypic Data

DArTseq data

MetaRInput.xlsx

Oct 5, 2017 - Genotype x environment interaction and GWAS in a durum panel under yield potential, drought stress, and heat stress conditions

Unknown - 254.6 KB -

Phenotypic Data

MetaR input data

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