Multi-trait and multi-environment genomic prediction for flowering traits in maize: a deep learning approach

Multi-trait and multi-environment genomic prediction for flowering traits in maize: a deep learning approach

Maize (Zea mays L.), the third most widely cultivated cereal crop in the world, plays a critical role in global food security. To improve the efficiency of selecting superior genotypes in breeding programs, researchers have aimed to identify key genomic regions that impact agronomic traits. In this...

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Bibliographic Details
Main Authors: Freddy Mora-Poblete, Carlos Maldonado, Luma Henrique, Renan Uhdre, Carlos Alberto Scapim, Claudete Aparecida Mangolim
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Plant Science
Subjects:
Bayesian models
deep learning
multi-trait
multi-environment
genomic prediction
candidate genes
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1153040/full

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https://www.frontiersin.org/articles/10.3389/fpls.2023.1153040/full

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