CIMMYT institutional network of scientific datasets and software repositories.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1,881 to 1,890 of 13,427 Results
Replication Data for: Enhancing Genomic Prediction Accuracy in Precision Breeding through Combined Pedigree and Genomic Matrices
Nov 9, 2024 - CIMMYT Research Data
Cuevas, Jaime; Martini, Johannes Wolfgang Robert; Otegón, Jaime; Vitale, Paolo; Gerard, Guillermo; Montesinos-López, Abelardo; Dreisigacker, Susanne; Saint Pierre, Carolina; Crespo Herrera, Leonardo Abdiel; Pérez-Rodríguez, Paulino; Montesinos-López, Osval A.; Crossa, Jose, 2024, "Replication Data for: Enhancing Genomic Prediction Accuracy in Precision Breeding through Combined Pedigree and Genomic Matrices", https://hdl.handle.net/11529/10549160, CIMMYT Research Data & Software Repository Network, V1
Breeding analyses may include pedigree information and genotypic data. The wheat data in this dataset were used to asssess the accuracy of genomic predictons when the pedigree or genetic similarity matrix is combined with the genomic similarity matrix. This study included 5 singl...
EYT_16_17.Rdata
Nov 9, 2024 - Replication Data for: Enhancing Genomic Prediction Accuracy in Precision Breeding through Combined Pedigree and Genomic Matrices
R Data - 8.2 MB - MD5: a3dccf2f19d0c0746d219c6704f60aa5
EYT_22_23.Rdata
Nov 9, 2024 - Replication Data for: Enhancing Genomic Prediction Accuracy in Precision Breeding through Combined Pedigree and Genomic Matrices
R Data - 8.4 MB - MD5: 9afc80c98a76022250fdb8d319f717d7
EYT_23_24.Rdata
Nov 9, 2024 - Replication Data for: Enhancing Genomic Prediction Accuracy in Precision Breeding through Combined Pedigree and Genomic Matrices
R Data - 8.4 MB - MD5: b58c9794e0a01036b115e5662bb16076
Wheat_599.Rdata
Nov 9, 2024 - Replication Data for: Enhancing Genomic Prediction Accuracy in Precision Breeding through Combined Pedigree and Genomic Matrices
R Data - 2.1 MB - MD5: b1cc86776b320effa7aa255cfcab3b95
4.-Agricultural supplies_2012-2022_01.xlsx
Nov 8, 2024 - Historical Agronomic Dataset - Insights from Mexico (2012 - 2022)
MS Excel Spreadsheet - 40.1 MB - MD5: f8d783911d761f213d38b5911c0dc6ce
5.-Irrigacion_2012-2022_01.xlsx
Nov 8, 2024 - Historical Agronomic Dataset - Insights from Mexico (2012 - 2022)
MS Excel Spreadsheet - 4.3 MB - MD5: d7928f818dab584f5c6312f48936c55f
Varietal turn-over and their effect on yield and food security – evidence from 20 years of household surveys in Kenya
Nov 6, 2024 - CIMMYT Research Data
De Groote, Hugo; Omondi, Brian Lumumba, 2024, "Varietal turn-over and their effect on yield and food security – evidence from 20 years of household surveys in Kenya", https://hdl.handle.net/11529/10548862, CIMMYT Research Data & Software Repository Network, V2
The International Maize and Wheat Improvement Centre (CIMMYT), in collaboration with the Kenya Agriculture and Livestock Research Organization (KALRO) (previously the Kenya Agricultural Research Institute or KARI), conducted four nationally representative household surveys in the...
Kenya Rural Household Panel Survey Tool_Complete Package_Final.pdf
Nov 6, 2024 - Varietal turn-over and their effect on yield and food security – evidence from 20 years of household surveys in Kenya
Adobe PDF - 4.0 MB - MD5: a5066caeb6c6ab3a4b5e78dd1256e0d6
Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Ethiopia
Nov 4, 2024 - CIMMYT Research Data
Sida,Tesfaye Shiferaw; Gebrekidan, Bisrat Haile; Silva, Joao Vasco; Gameda, Samuel; Hougni,Deo-Gratias; Baudron, Frederic; Desalegn, Temesgen; Pittaki, Zampela; Weullow, Elvis; Ateku, Dickens; Karari, Valentine; Chamberlin, Jordan, 2024, "Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Ethiopia", https://hdl.handle.net/11529/10549136, CIMMYT Research Data & Software Repository Network, V1
Selected soil properties were predicted from 79 topsoil samples subjected to spectral analysis (MIRS). A subset of samples were also subjected to wet chemistry analysis, and results were used to calibrate a machine-learning algorithm developed by the International Centre for Rese...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.