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• A Bayesian genomic multi-output regressor stacking model for predicting multi... N3 | TTL | RDF/XML | JSON-LD

  CIMMYT Ethiopia

  A new statistical model is presented for genomic prediction on maize and wheat data comprising multi-trait, multi-environment data.

  Created January 20, 2025 • Updated January 20, 2025
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• New deep learning genomic prediction model for multi-traits with mixed binary... N3 | TTL | RDF/XML | JSON-LD

  CIMMYT Ethiopia

  The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments.

  Created January 20, 2025 • Updated January 20, 2025
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