Multi-Trait, Multi-Environment Genomic Prediction of Durum Wheat With Genomic Best Linear Unbiased Predictor and Deep Learning Methods

Multi-Trait, Multi-Environment Genomic Prediction of Durum Wheat With Genomic Best Linear Unbiased Predictor and Deep Learning Methods

Although durum wheat (Triticum turgidum var. durum Desf.) is a minor cereal crop representing just 5–7% of the world’s total wheat crop, it is a staple food in Mediterranean countries, where it is used to produce pasta, couscous, bulgur and bread. In this paper, we cover multi-trait prediction of gr...

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Bibliographic Details
Main Authors: Osval A. Montesinos-López, Abelardo Montesinos-López, Roberto Tuberosa, Marco Maccaferri, Giuseppe Sciara, Karim Ammar, José Crossa
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Plant Science
Subjects:
durum wheat
deep learning
multi-trait
univariate trait
GBLUP
genomic selection
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.01311/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2019.01311/full

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