CIMMYT Research Data

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

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6,381 to 6,390 of 10,684 Results

Genomic selection models based on integration of GWAS loci and epistatic interactions Jan 31, 2020 Sehgal, Deepmala; Rosyara, Umesh; Mondal, Suchismita; Singh, Ravi; Poland, Jesse; Dreisigacker, Susanne, 2020, "Genomic selection models based on integration of GWAS loci and epistatic interactions", https://hdl.handle.net/11529/10548366, CIMMYT Research Data & Software Repository Network, V1 The potential to integrate consistent associations identified from GWAS as fixed variables in GP models to improve prediction accuracy for complex traits (for example, grain yield) has not been investigated comprehensively in wheat. Here, we untangled the genetic architecture of...
EYT2011-12.xlsx.gz Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions Gzip Archive - 75.7 KB - MD5: a6b3b1fa603556adf6b63a729ee3eee4 DataPhenotypic data EYT2011-12 data
EYT2012-13.xlsx.gz Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions Gzip Archive - 102.1 KB - MD5: b64179214aa8c9e009cbb1d7ec4c5691 DataPhenotypic data EYT2011-12 data
EYT2013-14.xlsx.gz Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions Gzip Archive - 99.3 KB - MD5: 7e2e83336f4a2af633e6383a48457bf2 DataPhenotypic data EYT2011-12 data
EYT2014-15.xlsx.gz Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions Gzip Archive - 93.5 KB - MD5: de399e09920c862b61efff29af894b5e DataPhenotypic data EYT2014-15 data
EYT2015-16.xlsx.gz Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions Gzip Archive - 82.8 KB - MD5: fc30eb5e98b284ca0cc833995c14797e DataPhenotypic data EYT2014-15
EYTs_GBS_Excel.xlsx.gz Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions Gzip Archive - 162.7 MB - MD5: a236e1791e52c3f523d6e2f334c929a6 DataGenotypic data Genotypic data
Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication Jan 29, 2020 Mondal, Suchismita; Krause, Margaret R.; Juliana, Philomin; Poland, Jesse; Dreisigacker, Susanne; Singh, Ravi, 2018, "Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication", https://hdl.handle.net/11529/10548109, CIMMYT Research Data & Software Repository Network, V3, UNF:6:B5QMbKdbnM8gmYhNGOItIw== [fileUNF] Genomic, pedigree, grain yield and hyperspectral data for the manuscript
Krause_et_al_2018_Germplasm_DOIs.tab Jan 29, 2020 - Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication Tabular Data - 187.3 KB - 3 Variables, 3771 Observations - UNF:6:B5QMbKdbnM8gmYhNGOItIw== DOIs from the FAO GLIS (https://ssl.fao.org/glis/) for germplasm in the study
Multiplication trial of the 49TH IBWSN – Gene-based marker data for marker-assisted selection Jan 28, 2020 Dreisigacker, Susanne, 2019, "Multiplication trial of the 49TH IBWSN – Gene-based marker data for marker-assisted selection", https://hdl.handle.net/11529/10548171, CIMMYT Research Data & Software Repository Network, V3, UNF:6:+9rN5vb/ENHOa2kb9GmZwg== [fileUNF] The genotypes from the International Bread Wheat Screening Nursery (IBWSN) multiplication trial, which is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) that represents diversity for a wide range...

Genomic selection models based on integration of GWAS loci and epistatic interactions

Jan 31, 2020

Sehgal, Deepmala; Rosyara, Umesh; Mondal, Suchismita; Singh, Ravi; Poland, Jesse; Dreisigacker, Susanne, 2020, "Genomic selection models based on integration of GWAS loci and epistatic interactions", https://hdl.handle.net/11529/10548366, CIMMYT Research Data & Software Repository Network, V1

The potential to integrate consistent associations identified from GWAS as fixed variables in GP models to improve prediction accuracy for complex traits (for example, grain yield) has not been investigated comprehensively in wheat. Here, we untangled the genetic architecture of...

EYT2011-12.xlsx.gz

Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions

Gzip Archive - 75.7 KB -

DataPhenotypic data

EYT2011-12 data

EYT2012-13.xlsx.gz

Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions

Gzip Archive - 102.1 KB -

DataPhenotypic data

EYT2011-12 data

EYT2013-14.xlsx.gz

Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions

Gzip Archive - 99.3 KB -

DataPhenotypic data

EYT2011-12 data

EYT2014-15.xlsx.gz

Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions

Gzip Archive - 93.5 KB -

DataPhenotypic data

EYT2014-15 data

EYT2015-16.xlsx.gz

Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions

Gzip Archive - 82.8 KB -

DataPhenotypic data

EYT2014-15

EYTs_GBS_Excel.xlsx.gz

Jan 31, 2020 - Genomic selection models based on integration of GWAS loci and epistatic interactions

Gzip Archive - 162.7 MB -

DataGenotypic data

Genotypic data

Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication

Jan 29, 2020

Mondal, Suchismita; Krause, Margaret R.; Juliana, Philomin; Poland, Jesse; Dreisigacker, Susanne; Singh, Ravi, 2018, "Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication", https://hdl.handle.net/11529/10548109, CIMMYT Research Data & Software Repository Network, V3, UNF:6:B5QMbKdbnM8gmYhNGOItIw== [fileUNF]

Genomic, pedigree, grain yield and hyperspectral data for the manuscript

Krause_et_al_2018_Germplasm_DOIs.tab

Jan 29, 2020 - Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication

Tabular Data - 187.3 KB - 3 Variables, 3771 Observations -

DOIs from the FAO GLIS (https://ssl.fao.org/glis/) for germplasm in the study

Multiplication trial of the 49TH IBWSN – Gene-based marker data for marker-assisted selection

Jan 28, 2020

Dreisigacker, Susanne, 2019, "Multiplication trial of the 49TH IBWSN – Gene-based marker data for marker-assisted selection", https://hdl.handle.net/11529/10548171, CIMMYT Research Data & Software Repository Network, V3, UNF:6:+9rN5vb/ENHOa2kb9GmZwg== [fileUNF]

The genotypes from the International Bread Wheat Screening Nursery (IBWSN) multiplication trial, which is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) that represents diversity for a wide range...

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