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3,041 to 3,050 of 10,510 Results
54IBWSN, 39SAWSN, and 32HRWSN - Gene-based marker data for marker-assisted selection
Nov 16, 2021
Dreisigacker, Susanne, 2021, "54IBWSN, 39SAWSN, and 32HRWSN - Gene-based marker data for marker-assisted selection", https://hdl.handle.net/11529/10548630, CIMMYT Research Data & Software Repository Network, V1
Gene-based marker data from international screening nurseries for marker-assisted selection.
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
Replication Data for: Bayesian multi-trait kernel methods improve multi-environment genome based prediction
Nov 15, 2021
Montesinos-López, Osval A.; Montesinos-López, José Cricelio; Montesinos-López, Abelardo; Ramírez-Alcaraz, Juan Manuel; Poland, Jesse; Singh, Ravi; Dreisigacker, Susanne; Crespo Herrera, Leonardo Abdiel; Govindan, Velu; Juliana, Philomin; Huerta Espino, Julio; Shrestha, Sandesh; Varshney, Rajeev K.; Crossa, Jose, 2021, "Replication Data for: Bayesian multi-trait kernel methods improve multi-environment genome based prediction", https://hdl.handle.net/11529/10548629, CIMMYT Research Data & Software Repository Network, V1
When multi-trait data are available and the degree of correlation between phenotypic traits is moderate or large, genomic prediction accuracy can increase when models are used that account for correlations between the phenotypic traits. The data files associated with this dataset...
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
Daily wheat canopy temperature and meteorological data for IWIN locations
Nov 5, 2021
Montes, Carlo; Schulthess, Urs; Lashkari, Azam, 2021, "Daily wheat canopy temperature and meteorological data for IWIN locations", https://hdl.handle.net/11529/10548626, CIMMYT Research Data & Software Repository Network, V1
Dataset of daily canopy temperature and meteorological data from the ECMWF’s AgERA5 product for the period 1979 though 2020, and for 785 points belonging to the International Wheat Improvement Network (IWIN). Wheat canopy temperature was estimated from a linear model using maximu...
IWIN_AgERA5_meteodata.zip
Nov 5, 2021 - Daily wheat canopy temperature and meteorological data for IWIN locations
ZIP Archive - 386.6 MB - MD5: fa5dfb405c2aed00a0990945ffb1a0f6
IWIN_Locations.csv
Nov 5, 2021 - Daily wheat canopy temperature and meteorological data for IWIN locations
Comma Separated Values - 15.5 KB - MD5: 3421467f33ead4f7fff1c1ab192cbb06
EYTBW-B2I-Y19-20 data.csv.gz
Oct 28, 2021 - Phenotypic data from trials conducted by the CIMMYT Bread Wheat Breeding Program
Gzip Archive - 42.8 KB - MD5: 88866d9396df1af56242e348ae4d4129
DataPhenotypic data
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