CIMMYT Research Data

Free, open access repository of research studies developed by CIMMYT scientists.

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7,211 to 7,220 of 9,701 Results

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
Technical Report-FAO-SIAC-Estimating CA adoption in Mexico-03Jun16 to 30....pdf Oct 8, 2018 - Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico Adobe PDF - 1.9 MB - MD5: 37f4bdf8baee6dec17d3ca1678950a9c
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"
DataSets_Multi_trait.rar Sep 28, 2018 - Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits RAR Archive - 41.9 MB - MD5: cdd5ff94aff34916a943fe27c4bb20a6 Supporting data
Supplemental_files.zip.gz Sep 21, 2018 - Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models Gzip Archive - 7.8 MB - MD5: 899ad733bc009f213bfdeed4df1cb4bd This zipped folder contains 4 supplemental files and one data dictionary to describe the variables contained in the other files.
36ESWYT-Empty FieldBook.xlsx Aug 6, 2018 - 36th Elite Spring Wheat Yield Trial Unknown - 104.0 KB - MD5: 69669e31a379c18ee5b33c58a23cacf4 Fieldbook An empty Fieldbook designed for collecting trial data
36 ESWYT_EnvData.xls Aug 6, 2018 - 36th Elite Spring Wheat Yield Trial MS Excel Spreadsheet - 415.2 KB - MD5: e37c8ccea311bb0bf473a96840bc3378 IWIN Summarized Data Agronomic information by location
36 ESWYT_Genotypes_Data.xls Aug 6, 2018 - 36th Elite Spring Wheat Yield Trial MS Excel Spreadsheet - 4.9 KB - MD5: 85d48e9e612d0468913ea42c6984f8da IWIN Germplasm Data List of genotypes included on the nursery

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 -

Technical Report-FAO-SIAC-Estimating CA adoption in Mexico-03Jun16 to 30....pdf

Oct 8, 2018 - Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico

Adobe PDF - 1.9 MB -