Research Topic

New Developments for Embracing Genomic Selection in Breeding Applications

About this Research Topic

The advancement of new technologies in different plant science-related fields and disciplines, such as environtyping, soil science, high-throughput phenotyping and sequencing among others, allow the characterization of the phenotype equation’s model components (P = E + G + G × E + ε) with a high degree of ...

The advancement of new technologies in different plant science-related fields and disciplines, such as environtyping, soil science, high-throughput phenotyping and sequencing among others, allow the characterization of the phenotype equation’s model components (P = E + G + G × E + ε) with a high degree of detail. The integration of these sources of information (multi-omics and multi-layer) in the prediction context, using different methods, could potentially help to better understand the role of genetics and its interaction with environmental factors. Examples of the aforementioned methods being crop growth models, machine learning techniques, elaborated statistical models, etc.

Understanding how the interaction of these layers shape genotypes can enhance our ability for performing predictions under complex scenarios. The aim of this Research Topic is thus to present the recent advancements and developments in leveraging the availability of novel sources of information together with the new prediction tools in plant and animal breeding applications.

Topics of interest include:
1) Multi-omics data integration, multiple layer integration may help to improve the predictive ability of phenotypes through exploring the potential uses from an animal and plant breeder's perspective;
2) Integration of multi-layered data, crop growth models, machine learning and elaborated statistical models for Genomic Selection applications. The integration of these novel methods could improve our ability to predict crop performance in complex scenarios.


Keywords: Genomic Selection, Plant and Animal Breeding, Multi-Omics, Modeling, Data Integration, Multi-Envnironment


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Submission Deadlines

15 February 2021 Manuscript
15 March 2021 Manuscript Extension

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

15 February 2021 Manuscript
15 March 2021 Manuscript Extension

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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