CIMMYT institutional network of scientific datasets and software repositories.
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4,421 to 4,430 of 12,320 Results
EYTBW-B2I-Y20-21_2.csv.gz
Nov 16, 2021 - Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program
Gzip Archive - 58.4 KB - MD5: c13255ec589724dfb80c5759f12f3bf6
DataPhenotypic data
EYTBW-B5I-Y20-21_2.csv.gz
Nov 16, 2021 - Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program
Gzip Archive - 57.9 KB - MD5: 71c568589e3bac6fa0591b88d70e27f2
DataPhenotypic data
EYTBW-DRM-Y20-21_2.csv.gz
Nov 16, 2021 - Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program
Gzip Archive - 58.0 KB - MD5: ce696cc4846a3840ec4d212106ed3cda
DataPhenotypic data
EYTBW-EHT-Y20-21_2.csv.gz
Nov 16, 2021 - Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program
Gzip Archive - 58.0 KB - MD5: ab5b02763fc9544de4ae8640c9a69a63
DataPhenotypic data
EYTBW-F5I-1-Y20-21_2.csv.gz
Nov 16, 2021 - Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program
Gzip Archive - 58.6 KB - MD5: e887fe89ac04946ab04326861b4992bf
DataPhenotypic data
YTBW-B5I-Y20-21_2.csv.gz
Nov 16, 2021 - Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program
Gzip Archive - 337.6 KB - MD5: 6576244db4a56961c3f7b9c7036f207b
DataPhenotypic data
54IBWSN_39SAWYSN_32HRWSN_Results.xlsx.gz
Nov 16, 2021 - 54IBWSN, 39SAWSN, and 32HRWSN - Gene-based marker data for marker-assisted selection
Gzip Archive - 407.3 KB - MD5: bc0bf182b57bdcf91b47541a5b96550e
Data_EYT_Data Set_1.RData.gz
Nov 15, 2021 - Replication Data for: Bayesian multi-trait kernel methods improve multi-environment genome based prediction
Gzip Archive - 4.3 MB - MD5: ae3768523cdc277e0b047178e5748cc7
Data_EYT_Data Set_2.RData.gz
Nov 15, 2021 - Replication Data for: Bayesian multi-trait kernel methods improve multi-environment genome based prediction
Gzip Archive - 4.4 MB - MD5: b360ade23a88d210d668e4ef99ef569d
Data_EYT_Data Set_3.RData.gz
Nov 15, 2021 - Replication Data for: Bayesian multi-trait kernel methods improve multi-environment genome based prediction
Gzip Archive - 6.8 MB - MD5: f66ad2e32d28013e550f1dbb9e63a6e2
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