CIMMYT Research Data & Software Repository Network

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9,641 to 9,650 of 12,535 Results

Data_Set_2.RData.gz Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes Gzip Archive - 4.4 MB - MD5: 74cf012e823cf8ff5eff6a51f10d592c
Data_Set_3.RData.gz Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes Gzip Archive - 6.8 MB - MD5: 4c158d81032c889c280f1918b5d1b16f
Data_Set_4.RData.gz Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes Gzip Archive - 7.0 MB - MD5: bc2a4fce307e769e24b9f477e14592f6
Data_Set_5.RData.gz Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes Gzip Archive - 6.8 MB - MD5: 0af143aab2914c4d065ef8ef9037632d
Data_Set_6.RData.gz Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes Gzip Archive - 153.6 KB - MD5: d891bbd1db0577097ef9ce267581237f
Data_Set_7.RData.gz Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes Gzip Archive - 261.2 KB - MD5: f0396ede52b49e1a91090a95e299bc31
SUPPLEMENTARY MATERIAL.docx Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes MS Word - 358.9 KB - MD5: 6bfa2583115c2816b2945150fb882e77
Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices 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", https://hdl.handle.net/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.
Supplementary-Materials-final.docx Oct 8, 2018 - Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices MS Word - 358.0 KB - MD5: 02e60fff9e7c5c038887aa8a2dde15c8 This file has supplementary material of the article "The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices"
Populations Axiom SNPs Data - John Innes Centre Oct 4, 2018 - International Wheat Yield Partnership Research Data Griffiths, Simon; Wingen, Luzie; Edwards, Keith, 2017, "Populations Axiom SNPs Data - John Innes Centre", https://hdl.handle.net/11529/10996, CIMMYT Research Data & Software Repository Network, V6 The Breeders' 35K Axiom® array results for the following populations: ParagonxBaj, ParagonxBKACHU, ParagonxCIMCOG47, ParagonxCIMCOG49, ParagonxCIMCOGSynthetic, ParagonxMISR1, ParagonxPFAU, ParagonxSUP152, ParagonxWaxwing, ParagonxWYAL, WeebilxCIMCOG03, WeebilxCIMCOG26, WeebilxCIM...

Data_Set_2.RData.gz

Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes

Gzip Archive - 4.4 MB -

Data_Set_3.RData.gz

Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes

Gzip Archive - 6.8 MB -

Data_Set_4.RData.gz

Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes

Gzip Archive - 7.0 MB -

Data_Set_5.RData.gz

Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes

Gzip Archive - 6.8 MB -

Data_Set_6.RData.gz

Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes

Gzip Archive - 153.6 KB -

Data_Set_7.RData.gz

Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes

Gzip Archive - 261.2 KB -

SUPPLEMENTARY MATERIAL.docx

Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes

MS Word - 358.9 KB -

Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices

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", https://hdl.handle.net/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.

Supplementary-Materials-final.docx

Oct 8, 2018 - Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices

MS Word - 358.0 KB -

This file has supplementary material of the article "The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices"

Populations Axiom SNPs Data - John Innes Centre

Oct 4, 2018 - International Wheat Yield Partnership Research Data

Griffiths, Simon; Wingen, Luzie; Edwards, Keith, 2017, "Populations Axiom SNPs Data - John Innes Centre", https://hdl.handle.net/11529/10996, CIMMYT Research Data & Software Repository Network, V6

The Breeders' 35K Axiom® array results for the following populations: ParagonxBaj, ParagonxBKACHU, ParagonxCIMCOG47, ParagonxCIMCOG49, ParagonxCIMCOGSynthetic, ParagonxMISR1, ParagonxPFAU, ParagonxSUP152, ParagonxWaxwing, ParagonxWYAL, WeebilxCIMCOG03, WeebilxCIMCOG26, WeebilxCIM...

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