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3 datasets found

• Genomic-enabled prediction in maize using kernel models with genotype × envir... N3 | TTL | RDF/XML | JSON-LD

  CIMMYT Ethiopia

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  Created January 20, 2025 • Updated January 20, 2025
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• Replication Data for: Genome-based genotype × environment prediction enhances... N3 | TTL | RDF/XML | JSON-LD

  CIMMYT Ethiopia

  Potato breeding efficiency can be improved by increasing the reliability of selection and identifying promising germplasm for crossing. The data provided in these datasets were used to compare the prediction accuracy of genomic-estimated breeding values for several potato (Solanum tuberosum L.) breeding clones and released cultivars evaluated in three...

  Created January 20, 2025 • Updated January 20, 2025
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• Deep kernel of genomic and near infrared predictions in multi-environment bre... N3 | TTL | RDF/XML | JSON-LD

  CIMMYT Ethiopia

  In genomic prediction deep learning artificial neural network are part of machine learning methods that incorporate parametric, non-parametric and semi-parametric statistical models. Kernel methods are seeing more flexible, and easier to interpret than neural networks. Kernel methods used in genomic predictions comprise the linear genomic best linear...

  Created January 20, 2025 • Updated January 20, 2025
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