Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants

• Published in: Plant communications Vol. 1; no. 1; p. 100005
• Main Authors: Xu, Yunbi, Liu, Xiaogang, Fu, Junjie, Wang, Hongwu, Wang, Jiankang, Huang, Changling, Prasanna, Boddupalli M., Olsen, Michael S., Wang, Guoying, Zhang, Aimin
• Format: Journal Article
• Language: English
• Published: China Elsevier Inc 13-01-2020; Elsevier
• Subjects: genetic gain; genomic prediction; genomic selection; livestock breeding; molecular marker; open-source breeding; Review; genomic selection; open-source breeding; genetic gain; livestock breeding; genomic prediction; molecular marker
• ISSN: 2590-3462; 2590-3462
• DOI: 10.1016/j.xplc.2019.100005

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.
Accelerating genetic gain is needed to meet humanity's demand for plant products. Genomic selection, which has been largely used in livestock, can be used to enhance genetic gain in plants. The genomic selection strategies reviewed in this paper for plants include field and environment management, optimum model development, cost reduction, platform and network construction, open-source breeding, and transdisciplinary approaches.