D2.4.Predictive models for genomic selection of core UCs

Predictive models will be created to improve insight into the underlying mechanisms that influence quality traits. Predictions will exploit environmental variables important for UC production.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-29
DOI
https://doi.org/10.5281/zenodo.15302389
Primary Topic
Advanced Neural Network Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

D2.4.Predictive models for genomic selection of core UCs

Zenodo (CERN European Organization for Nuclear Research)
Advanced Neural Network Applications
article

D2.4.Predictive models for genomic selection of core UCs

article en

Abstract

Predictive models will be created to improve insight into the underlying mechanisms that influence quality traits. Predictions will exploit environmental variables important for UC production.

Zenodo (CERN European Organization for Nuclear Research)
University of Nottingham (GB)
Openalex Percentile: Top 53%
Advanced Neural Network Applications
DOIOpen Access PDFOpenAlex
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D2.4.Predictive models for genomic selection of core UCs · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS