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3 datasets found

• Replication Data for: Sparse testing using genomic predication improves selec... N3 | TTL | RDF/XML | JSON-LD

  CIMMYT Ethiopia

  In multi-environment yield trials, the use of sparse testing genomic selection enables increasing selection intensity or testing environments. The data presented in this dataset were used in the evaluation of different sparse testing genomic selection strategies in the early yield testing stage of CIMMYT spring wheat breeding pipeline. Phenotypic,...

  Created January 20, 2025 • Updated January 20, 2025
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• Supplemental data for multi-trait, multi-environment deep learning modeling f... N3 | TTL | RDF/XML | JSON-LD

  CIMMYT Ethiopia

  This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy.

  Created January 20, 2025 • Updated January 20, 2025
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• Deep learning genomic-enabled prediction of plant traits N3 | TTL | RDF/XML | JSON-LD

  CIMMYT Ethiopia

  Machine learning (ML) is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) from data, without being explicitly programmed to do this. ML is closely related to (and often overlaps with) computational statistics, which also focuses on...

  Created January 20, 2025 • Updated January 20, 2025
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