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Enhancing genetic gain through genomic selection: from livestock to plants

Creator: Yunbi Xu
Creator: Xiaogang Liu
Creator: Junjie Fu
Creator: Hongwu Wang
Creator: Jiankang Wang
Creator: Changling Huang
Creator: Prasanna, B.M.
Creator: Olsen, M.
Creator: Guoying Wang
Creator: Aimin Zhang
Year: 2020
Format: pdf
Language: English
Publisher: Elsevier
Type: Article
Place of Publication: USA
Issue: 1
Volume: 1
DOI: 10.1016/j.xplc.2019.100005
Description: Although long-term genetic gain has been achieved through increasing use of modern breeding methods and technologies, the rate of genetic gain needs to be accelerated to meet humanity's demand for agricultural products. In this regard, genomic selection (GS) has been considered most promising for genetic improvement of the complex traits controlled by many genes each with minor effects. Livestock scientists pioneered GS application largely due to livestock's significantly higher individual values and the greater reduction in generation interval that can be achieved in GS. Large-scale application of GS in plants can be achieved by refining field management to improve heritability estimation and prediction accuracy and developing optimum GS models with the consideration of genotype-by-environment interaction and non-additive effects, along with significant cost reduction. Moreover, it would be more effective to integrate GS with other breeding tools and platforms for accelerating the breeding process and thereby further enhancing genetic gain. In addition, establishing an open-source breeding network and developing transdisciplinary approaches would be essential in enhancing breeding efficiency for small- and medium-sized enterprises and agricultural research systems in developing countries. New strategies centered on GS for enhancing genetic gain need to be developed.
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Related Datasets:
ISSN: 2590-3462
Journal: Plant Communications
Article number: 100005

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  • Genetic Resources
    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP

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