Replication Data for: Measurements for multi-trait genomic-enabled prediction accuracy in multi-year breeding trials
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Several different genome-based prediction models are available for the analysis of multi-trait data in genomic selection. The supplemental files included in this dataset provide six extensive multi-trait wheat datasets (quality and grain yield) that enable the comparison of performance of genomic-enabled-prediction when calculating the prediction accuracy using different methods. The related article describes the results of the analysis and reports that trait grain yield prediction performance is better under a multi-trait model as compared with the single-trait model' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Agricultural research","Bread loaf volume","Dough alveograph P/L","Dough alveograph value W","Dough mixograph mixing time","Dough mixograph torque","Flour protein content","Flour SDS sedimentation","Grain hardness","Grain protein content","Grain test weight","Plant Breeding","Thousand Kernel Weight","Triticum aestivum","Wheat"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Several different genome-based prediction models are available for the analysis of multi-trait data in genomic selection. The supplemental files included in this dataset provide six extensive multi-trait wheat datasets (quality and grain yield) that enable the comparison of performance of genomic-enabled-prediction when calculating the prediction accuracy using different methods. The related article describes the results of the analysis and reports that trait grain yield prediction performance is better under a multi-trait model as compared with the single-trait model' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Several different genome-based prediction models are available for the analysis of multi-trait data in genomic selection. The supplemental files included in this dataset provide six extensive multi-trait wheat datasets (quality and grain yield) that enable the comparison of performance of genomic-enabled-prediction when calculating the prediction accuracy using different methods. The related article describes the results of the analysis and reports that trait grain yield prediction performance is better under a multi-trait model as compared with the single-trait model
Agricultural research; Bread loaf volume; Dough alveograph P/L; Dough alveograph value W; Dough mixograph mixing time; Dough mixograph torque; Flour protein content; Flour SDS sedimentation; Grain hardness; Grain protein content; Grain test weight; Plant Breeding; Thousand Kernel Weight; Triticum aestivum; Wheat