CIMMYT Research Data

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

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5,251 to 5,260 of 10,508 Results

Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico Oct 16, 2020 Sukumaran, Sivakumar; Crossa, Jose; Jarquín, Diego; Lopes, Marta; Reynolds, Matthew P., 2016, "Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico", https://hdl.handle.net/11529/10714, CIMMYT Research Data & Software Repository Network, V3 Increases in genetic gains in grain yield can be accelerated through genomic selection (GS). In the present study seven genomic prediction models under two cross validation scenarios were evaluated on the Wheat Association Mapping Initiative population of 287 advanced elite lines...
WAMI PHENOTYPIC AND MARKER DATA.zip.gz Oct 16, 2020 - Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico Gzip Archive - 3.8 MB - MD5: 58ed72fb2f0cc5ee413a04bee137d0e4
Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels Oct 3, 2020 Puhl, Laura E; Crossa, Jose; Sebastian, Munilla; Pérez-Rodríguez, Paulino; Cantet, R. J. C., 2020, "Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels", https://hdl.handle.net/11529/10548407, CIMMYT Research Data & Software Repository Network, V3 Synthetic hexaploid wheat was developed and used in breeding to introduce new genetic diversity into bread wheat, through interspecific hybridization of T. tauschii (diploid) and durum wheat T. turgidum (tetraploid) to produce synthetic derivatives. Therefore, one may infer that...
SUPPLEMENTAL FILES 1-3.docx Oct 3, 2020 - Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels MS Word - 16.9 KB - MD5: 42c6fd5b37c33f0a355d4c4ff7125a84 Description of the contents of the three folders containing supplemental files
SUPPLEMENTAL FILE S1.zip.gz Oct 3, 2020 - Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels Gzip Archive - 117.3 KB - MD5: ee05d9f10ec94eaaf7d96a2cba205d22 Two datasets are included and described in the SUPPLEMENTAL FILES 1-3.docx
SUPPLEMENTAL FILE S2.zip.gz Oct 3, 2020 - Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels Gzip Archive - 108.1 KB - MD5: b85a0a398115acec38031c49e5eb6edf Two datasets are included and described in the SUPPLEMENTAL FILES 1-3.docx
SUPPLEMENTAL FILE S3.zip.gz Oct 3, 2020 - Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels Gzip Archive - 800.3 KB - MD5: 910137763266c4a56d081d762a94c872 Two datasets are included and described in the SUPPLEMENTAL FILES 1-3.docx
Replication Data for: Genomic prediction within and across families in wheat pre-breeding populations Sep 30, 2020 Martini, Johannes W. R.; Toledo, Fernando H.; Sansaloni, Carolina; Robles Ortiz, Cynthia; Crossa, Jose; Cuevas, Jaime; Sukumaran, Sivakumar, 2020, "Replication Data for: Genomic prediction within and across families in wheat pre-breeding populations", https://hdl.handle.net/11529/10548513, CIMMYT Research Data & Software Repository Network, V1 The genetic diversity housed in germplasm banks may provide valuable contributions to breeding efforts. It is important to understand the best way to introduce this diversity into elite breeding materials. This files in this dataset provide phenotypic and genotypic data used to c...
FamilyStructure.txt Sep 30, 2020 - Replication Data for: Genomic prediction within and across families in wheat pre-breeding populations Plain Text - 72.5 KB - MD5: 0a2221095eab1985f49428817e248950 Family structure data included in the RData file
LTP3.Rdata.gz Sep 30, 2020 - Replication Data for: Genomic prediction within and across families in wheat pre-breeding populations Gzip Archive - 21.6 MB - MD5: 8c3348e1cf3c4305d51429ad68d91b7c Data supporting the analysis in an R format

Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico

Oct 16, 2020

Sukumaran, Sivakumar; Crossa, Jose; Jarquín, Diego; Lopes, Marta; Reynolds, Matthew P., 2016, "Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico", https://hdl.handle.net/11529/10714, CIMMYT Research Data & Software Repository Network, V3

Increases in genetic gains in grain yield can be accelerated through genomic selection (GS). In the present study seven genomic prediction models under two cross validation scenarios were evaluated on the Wheat Association Mapping Initiative population of 287 advanced elite lines...

WAMI PHENOTYPIC AND MARKER DATA.zip.gz

Oct 16, 2020 - Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico

Gzip Archive - 3.8 MB -

Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels

Oct 3, 2020

Puhl, Laura E; Crossa, Jose; Sebastian, Munilla; Pérez-Rodríguez, Paulino; Cantet, R. J. C., 2020, "Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels", https://hdl.handle.net/11529/10548407, CIMMYT Research Data & Software Repository Network, V3

Synthetic hexaploid wheat was developed and used in breeding to introduce new genetic diversity into bread wheat, through interspecific hybridization of T. tauschii (diploid) and durum wheat T. turgidum (tetraploid) to produce synthetic derivatives. Therefore, one may infer that...

SUPPLEMENTAL FILES 1-3.docx

Oct 3, 2020 - Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels

MS Word - 16.9 KB -

Description of the contents of the three folders containing supplemental files

SUPPLEMENTAL FILE S1.zip.gz

Oct 3, 2020 - Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels

Gzip Archive - 117.3 KB -

Two datasets are included and described in the SUPPLEMENTAL FILES 1-3.docx

SUPPLEMENTAL FILE S2.zip.gz

Oct 3, 2020 - Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels

Gzip Archive - 108.1 KB -

Two datasets are included and described in the SUPPLEMENTAL FILES 1-3.docx

SUPPLEMENTAL FILE S3.zip.gz

Oct 3, 2020 - Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels

Gzip Archive - 800.3 KB -

Two datasets are included and described in the SUPPLEMENTAL FILES 1-3.docx

Replication Data for: Genomic prediction within and across families in wheat pre-breeding populations

Sep 30, 2020

Martini, Johannes W. R.; Toledo, Fernando H.; Sansaloni, Carolina; Robles Ortiz, Cynthia; Crossa, Jose; Cuevas, Jaime; Sukumaran, Sivakumar, 2020, "Replication Data for: Genomic prediction within and across families in wheat pre-breeding populations", https://hdl.handle.net/11529/10548513, CIMMYT Research Data & Software Repository Network, V1

The genetic diversity housed in germplasm banks may provide valuable contributions to breeding efforts. It is important to understand the best way to introduce this diversity into elite breeding materials. This files in this dataset provide phenotypic and genotypic data used to c...

FamilyStructure.txt

Sep 30, 2020 - Replication Data for: Genomic prediction within and across families in wheat pre-breeding populations

Plain Text - 72.5 KB -

Family structure data included in the RData file

LTP3.Rdata.gz

Sep 30, 2020 - Replication Data for: Genomic prediction within and across families in wheat pre-breeding populations

Gzip Archive - 21.6 MB -

Data supporting the analysis in an R format

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