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81 to 84 of 84 Results
Dataset / Software
Feb 27, 2016 - CIMMYT Seeds of Discovery
Bonnett, David; Saint Pierre, Carolina; Jafarzadeh, Jafar; Jiménez Tapia, José Luis, 2015, "Wheat Derived Synthetics Heat Tolerance Evaluation 2011-2012", hdl:11529/10394, CIMMYT Research Data & Software Repository Network, V2
The materials in this trial were subjected to very severe heat stress that significantly impacted yield so all results should be analy zed with caution. In this trial derived synthetic wheat lines were tested for heat tolerance via late sowing in Ciudad Obregon in the 2011-2012 g...
Dataset / Software
Sep 12, 2016 - CIMMYT Seeds of Discovery
Bonnett, David; Saint Pierre, Carolina; Jafarzadeh, Jafar; Dreisigacker, Susanne; Sansaloni, Carolina; Jiménez Tapia, José Luis; Delgado, Roman, 2016, "Wheat Derived Synthetics Heat Tolerance, Drought Tolerance, and Yield Potential Evaluation 2011-2014", hdl:11529/10656, CIMMYT Research Data & Software Repository Network, V2
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Dataset / Software
Feb 27, 2016 - CIMMYT Seeds of Discovery
Bonnett, David; Saint Pierre, Carolina; Jafarzadeh, Jafar; Jiménez Tapia, José Luis, 2015, "Wheat Derived Synthetics Yield Potential Evaluation 2011-2012", hdl:11529/10393, CIMMYT Research Data & Software Repository Network, V2
Derived synthetic wheat lines were tested for yield potential under normal irrigation in Ciudad Obregon in the 2011-2012 growing season. These materials were derived from bi-parental crosses, backcrosses, or topcrosses between bread wheat lines and synthetic hexaploid wheat lines...
Dataset / Software
Dec 13, 2016 - CIMMYT Research Data
Sukumaran, Sivakumar; Crossa, Jose; Jarquin, Diego; Reynolds, Matthew, 2016, "Yield data for pedigree-based prediction models with genotype × environment interaction in multi-environment trials of CIMMYT wheat", hdl:11529/10831, CIMMYT Research Data & Software Repository Network, V1
This study contains spring wheat yield data (1st, 2nd, and 3rd WYCYTs and 1st, 2nd, 3rd and 4th SATYNs) from 136 international environments that were used to evaluate the predictive ability of different models in diverse environments by modeling G×E using the pedigree-derived add...
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