CIMMYT Research Data & Software Repository Network

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Publication Year: 2020

241 to 250 of 1,057 Results

CMGRL Release-1 4.Collaborator Acknowledgements.pdf Oct 27, 2020 - CIMMYT Maize Genetic Resource Lines Adobe PDF - 48.7 KB - MD5: 32964fa6f7603408a220f9f09f4dff33
Replication Data for: A guide for generalized kernel regression methods for genomic-enabled prediction Oct 24, 2020 - CIMMYT Research Data Montesinos-López, Abelardo; Montesinos-López, Osval A.; Montesinos-López, José Cricelio; Flores-Cortes, Carlos Alberto; de la Rosa, Roberto; Crossa, Jose, 2020, "Replication Data for: A guide for generalized kernel regression methods for genomic-enabled prediction", https://hdl.handle.net/11529/10548532, CIMMYT Research Data & Software Repository Network, V1 The data contained in these datasets can be used to implement Bayesian generalized kernel regression methods for genome-enabled prediction in the statistical software R, The accompanying paper describes the building process of 7 kernel methods (linear, polynomial, sigmoid, Gaussi...
Data_Toy_EYT.RData.gz Oct 24, 2020 - Replication Data for: A guide for generalized kernel regression methods for genomic-enabled prediction Gzip Archive - 10.0 KB - MD5: 3976d1f35394e734911a7a8ad9c4ea5e
Data_Wheat_2019.RData.gz Oct 24, 2020 - Replication Data for: A guide for generalized kernel regression methods for genomic-enabled prediction Gzip Archive - 305.5 KB - MD5: 43c83cc75a677aec136d1aa79b1b5f17
AP06 Chasing wheat yields in challenging environments Oct 20, 2020 - International Wheat Yield Partnership Research Data Barnard, Annelie, 2020, "AP06 Chasing wheat yields in challenging environments", https://hdl.handle.net/11529/10548421, CIMMYT Research Data & Software Repository Network, V1, UNF:6:jT9p2RrZEAxsc3QR1QJn8A== [fileUNF] This project makes use of known cloned yield component markers (targeted from Literature), in an attempt to accumulated favourable alleles to increase yield. The traits targeted to date are, grain size, TKM, grain number and tiller number. Recently, new root phenotyping methods w...
Data_AP06_molecular data.tab Oct 20, 2020 - AP06 Chasing wheat yields in challenging environments Tabular Data - 8.4 KB - 27 Variables, 56 Observations - UNF:6:BL6KVaCVk4x2exkqB3SLmg== Molecular data from AP06
Data_AP06_nomenclature.tab Oct 20, 2020 - AP06 Chasing wheat yields in challenging environments Tabular Data - 586 B - 1 Variables, 12 Observations - UNF:6:zzdzfFfNs35E9ySN1WV6lQ== Nomenclature
Data_AP06_yield data.tab Oct 20, 2020 - AP06 Chasing wheat yields in challenging environments Tabular Data - 8.0 KB - 17 Variables, 35 Observations - UNF:6:eToQPxpudNrl8ADE6hiKXA== Yield data from AP06
Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm Oct 18, 2020 - CIMMYT Research Data Kibe, Maguta; Nair, Sudha; Das, Biswanath; Jumbo, MacDonald Bright; Makumbi, Dan; Kinyua, Johnson; Suresh, L.M.; Beyene, Yoseph; Olsen, Michael; Prasanna, B.M.; Gowda, Manje, 2020, "Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm", https://hdl.handle.net/11529/10548467, CIMMYT Research Data & Software Repository Network, V1 Gray leaf spot (GLS) is a major maize foliar disease in sub-Saharan Africa that can substantially reduce yields for farmers. This dataset contains supporting phenotypic and genotypic data used in the analysis of the genetic architecture of GLS resistance in maize. The data in thi...
GBS_SNPs_3_DH_pops_combined.hmp.txt.gz Oct 18, 2020 - Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm Gzip Archive - 63.4 MB - MD5: f99e30e6e9fa8e2047aa421228a6e7c6

CMGRL Release-1 4.Collaborator Acknowledgements.pdf

Oct 27, 2020 - CIMMYT Maize Genetic Resource Lines

Adobe PDF - 48.7 KB -

Replication Data for: A guide for generalized kernel regression methods for genomic-enabled prediction

Oct 24, 2020 - CIMMYT Research Data

Montesinos-López, Abelardo; Montesinos-López, Osval A.; Montesinos-López, José Cricelio; Flores-Cortes, Carlos Alberto; de la Rosa, Roberto; Crossa, Jose, 2020, "Replication Data for: A guide for generalized kernel regression methods for genomic-enabled prediction", https://hdl.handle.net/11529/10548532, CIMMYT Research Data & Software Repository Network, V1

The data contained in these datasets can be used to implement Bayesian generalized kernel regression methods for genome-enabled prediction in the statistical software R, The accompanying paper describes the building process of 7 kernel methods (linear, polynomial, sigmoid, Gaussi...

Data_Toy_EYT.RData.gz

Oct 24, 2020 - Replication Data for: A guide for generalized kernel regression methods for genomic-enabled prediction

Gzip Archive - 10.0 KB -

Data_Wheat_2019.RData.gz

Oct 24, 2020 - Replication Data for: A guide for generalized kernel regression methods for genomic-enabled prediction

Gzip Archive - 305.5 KB -

AP06 Chasing wheat yields in challenging environments

Oct 20, 2020 - International Wheat Yield Partnership Research Data

Barnard, Annelie, 2020, "AP06 Chasing wheat yields in challenging environments", https://hdl.handle.net/11529/10548421, CIMMYT Research Data & Software Repository Network, V1, UNF:6:jT9p2RrZEAxsc3QR1QJn8A== [fileUNF]

This project makes use of known cloned yield component markers (targeted from Literature), in an attempt to accumulated favourable alleles to increase yield. The traits targeted to date are, grain size, TKM, grain number and tiller number. Recently, new root phenotyping methods w...

Data_AP06_molecular data.tab

Oct 20, 2020 - AP06 Chasing wheat yields in challenging environments

Tabular Data - 8.4 KB - 27 Variables, 56 Observations -

Molecular data from AP06

Data_AP06_nomenclature.tab

Oct 20, 2020 - AP06 Chasing wheat yields in challenging environments

Tabular Data - 586 B - 1 Variables, 12 Observations -

Nomenclature

Data_AP06_yield data.tab

Oct 20, 2020 - AP06 Chasing wheat yields in challenging environments

Tabular Data - 8.0 KB - 17 Variables, 35 Observations -

Yield data from AP06

Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm

Oct 18, 2020 - CIMMYT Research Data

Kibe, Maguta; Nair, Sudha; Das, Biswanath; Jumbo, MacDonald Bright; Makumbi, Dan; Kinyua, Johnson; Suresh, L.M.; Beyene, Yoseph; Olsen, Michael; Prasanna, B.M.; Gowda, Manje, 2020, "Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm", https://hdl.handle.net/11529/10548467, CIMMYT Research Data & Software Repository Network, V1

Gray leaf spot (GLS) is a major maize foliar disease in sub-Saharan Africa that can substantially reduce yields for farmers. This dataset contains supporting phenotypic and genotypic data used in the analysis of the genetic architecture of GLS resistance in maize. The data in thi...

GBS_SNPs_3_DH_pops_combined.hmp.txt.gz

Oct 18, 2020 - Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm

Gzip Archive - 63.4 MB -

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