CIMMYT Research Data & Software Repository Network

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CIMMYT institutional network of scientific datasets and software repositories.

Cereal Systems Initiative for South Asia (CSISA) Research Data

CIMMYT Research Data

CIMMYT Research Software

International Wheat Yield Partnership Research Data

Sustainable and Resilient Farming Systems Intensification in the Eastern Gangetic Plains (SRFSI) Research Data

Crops to End Hunger (CtEH) Data

CIMMYT Seeds of Discovery

BNI-CropSustaiN Research Data and Protocols

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10,251 to 10,260 of 13,433 Results

HCB17_SNPs_Unfiltered.recode.vcf Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing Virtual Contact File - 734.8 MB - MD5: 8333b52c7e4d0f2ff4236e238f756203 SNP Calls. To request access to this file or any information related to it, please contact the IWYP Data Coordintor or Stephen Baezinger (pstephen.baenziger@gmail.com).
HCB17_Variants_Unfiltered.recode.vcf Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing Virtual Contact File - 751.9 MB - MD5: 502d9643d0f4ff83ecf612312489aca5 Variant Calls. To request access to this file or any information related to it, please contact the IWYP Data Coordintor or Stephen Baezinger (pstephen.baenziger@gmail.com).
Links to FASTQ files.txt Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing Plain Text - 521 B - MD5: 74188e20b9df5cd003b57c59f6be3d41 Temporary links to three FASTQ files with GBS data for the parental samples, stored in the University of Nebraska-Lincoln Box. To request access to these links, please contact the IWYP Data Coordinator or send a request email directly to Stephen Baenziger (pstephen.baenziger@gmai...
Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits Sep 28, 2018 - CIMMYT Research Data Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Gianola, Daniel; Hernández-Suarez, Carlos Moisés; Martín-Vallejo, Javier, 2018, "Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits", https://hdl.handle.net/11529/10548134, CIMMYT Research Data & Software Repository Network, V1 This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy.
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 data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models Sep 21, 2018 - CIMMYT Research Data Basnet, Bhoja Raj; Crossa, Jose; Pérez-Rodríguez, Paulino; Manes, Yann; Singh, Ravi; Rosyara, Umesh; Camarillo-Castillo, Fatima; Murua, Mercedes, 2018, "Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models", https://hdl.handle.net/11529/10548129, CIMMYT Research Data & Software Repository Network, V1 Genomic prediction of hybrids unobserved in field evaluations is crucial. In this study, we used genomic G×E models for hybrid prediction, where similarity between lines was assessed by pedigree and molecular markers, and similarity between environments was accounted for by envir...
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.
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
36 ESWYT_GrnYld.xls Aug 6, 2018 - 36th Elite Spring Wheat Yield Trial MS Excel Spreadsheet - 755.2 KB - MD5: e9627b8bd116f1428c316c8766858c22 IWIN Analyzed data Means for Grain Yield by location

HCB17_SNPs_Unfiltered.recode.vcf

Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing

Virtual Contact File - 734.8 MB -

SNP Calls. To request access to this file or any information related to it, please contact the IWYP Data Coordintor or Stephen Baezinger (pstephen.baenziger@gmail.com).

HCB17_Variants_Unfiltered.recode.vcf

Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing

Virtual Contact File - 751.9 MB -

Variant Calls. To request access to this file or any information related to it, please contact the IWYP Data Coordintor or Stephen Baezinger (pstephen.baenziger@gmail.com).

Links to FASTQ files.txt

Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing

Plain Text - 521 B -

Temporary links to three FASTQ files with GBS data for the parental samples, stored in the University of Nebraska-Lincoln Box. To request access to these links, please contact the IWYP Data Coordinator or send a request email directly to Stephen Baenziger (pstephen.baenziger@gmai...

Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits

Sep 28, 2018 - CIMMYT Research Data

Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Gianola, Daniel; Hernández-Suarez, Carlos Moisés; Martín-Vallejo, Javier, 2018, "Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits", https://hdl.handle.net/11529/10548134, CIMMYT Research Data & Software Repository Network, V1

This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy.

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 -

Supporting data

Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models

Sep 21, 2018 - CIMMYT Research Data

Basnet, Bhoja Raj; Crossa, Jose; Pérez-Rodríguez, Paulino; Manes, Yann; Singh, Ravi; Rosyara, Umesh; Camarillo-Castillo, Fatima; Murua, Mercedes, 2018, "Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models", https://hdl.handle.net/11529/10548129, CIMMYT Research Data & Software Repository Network, V1

Genomic prediction of hybrids unobserved in field evaluations is crucial. In this study, we used genomic G×E models for hybrid prediction, where similarity between lines was assessed by pedigree and molecular markers, and similarity between environments was accounted for by envir...

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 -

This zipped folder contains 4 supplemental files and one data dictionary to describe the variables contained in the other files.

36 ESWYT_EnvData.xls

Aug 6, 2018 - 36th Elite Spring Wheat Yield Trial

MS Excel Spreadsheet - 415.2 KB -

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 -

IWIN Germplasm Data

List of genotypes included on the nursery

36 ESWYT_GrnYld.xls

Aug 6, 2018 - 36th Elite Spring Wheat Yield Trial

MS Excel Spreadsheet - 755.2 KB -

IWIN Analyzed data

Means for Grain Yield by location

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