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Quantitative Genetics and Genomics Converge to Accelerate Forest Tree Breeding
Dario Grattapaglia1,2,3,4, Orzenil B Silva-Junior1,2, Rafael T Resende1
1EMBRAPA Recursos Genéticos e Biotecnologia Brasília, Brazil.
Frontiers in Plant Science
|December 8, 2018
Summary
Genomic selection (GS) accelerates forest tree breeding by using genome-wide markers to predict traits, overcoming challenges like long cycles and complex inheritance for improved genetic gains.
Area of Science:
- Forestry
- Genetics
- Plant Breeding
Background:
- Traditional forest tree breeding faces challenges including long breeding cycles, complex trait inheritance, and environmental changes.
- Conventional genetic dissection methods have had limited success in operational marker-assisted selection (MAS) for forest trees.
Purpose of the Study:
- To review the application of genomics, specifically genomic selection (GS), in contemporary tree breeding.
- To discuss the potential of GS to accelerate breeding cycles and improve selection accuracy.
Main Methods:
- Genomic selection (GS) utilizes a large number of genome-wide markers to predict complex phenotypes.
- Realized genomic relationships matrices offer innovations in estimating genetic parameters and breeding approaches.
Main Results:
- GS has the potential to significantly accelerate breeding cycles and increase selection intensity in forest trees.
- Genomics data and advanced analytical tools are poised to revolutionize tree breeding practices.
Conclusions:
- Easy and cost-effective genotyping facilitates the widespread adoption of GS in tree breeding.
- Future research should focus on optimizing GS models, integrating functional genomics, and utilizing multi-environment data for climate change adaptation.
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