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Gzip Archive - 58.6 KB - MD5: e887fe89ac04946ab04326861b4992bf
DataPhenotypic data
Gzip Archive - 337.6 KB - MD5: 6576244db4a56961c3f7b9c7036f207b
DataPhenotypic data
Nov 16, 2021 - CIMMYT Research Data
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.
Nov 15, 2021 - CIMMYT Research Data
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...
Nov 5, 2021 - CIMMYT Research Data
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...
ZIP Archive - 386.6 MB - MD5: fa5dfb405c2aed00a0990945ffb1a0f6
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