Accelerating Genetic Gain in Sugarcane Breeding Using Genomic Selection

• Published in: Agronomy (Basel) Vol. 10; no. 4; p. 585
• Main Authors: Yadav, Seema, Jackson, Phillip, Wei, Xianming, Ross, Elizabeth M., Aitken, Karen, Deomano, Emily, Atkin, Felicity, Hayes, Ben J., Voss-Fels, Kai P.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-04-2020
• Subjects: Agricultural production; Alternative energy sources; Animal breeding; Cloning; Crop diseases; Cultivars; Gene expression; Genetic effects; genetic gain; Genetic improvement; genomic selection; Genomics; Heritability; Industrial crops; Irrigation; Plant breeding; Productivity; quantitative genetics; Renewable energy; Sugar; Sugarcane; sugarcane breeding; Sustainable energy; Trends; New Guinea; Fiji; United States > US; China; Hawaii; Brazil; Thailand; Australia; India
• ISSN: 2073-4395; 2073-4395
• DOI: 10.3390/agronomy10040585

Sugarcane is a major industrial crop cultivated in tropical and subtropical regions of the world. It is the primary source of sugar worldwide, accounting for more than 70% of world sugar consumption. Additionally, sugarcane is emerging as a source of sustainable bioenergy. However, the increase in productivity from sugarcane has been small compared to other major crops, and the rate of genetic gains from current breeding programs tends to be plateauing. In this review, some of the main contributors for the relatively slow rates of genetic gain are discussed, including (i) breeding cycle length and (ii) low narrow-sense heritability for major commercial traits, possibly reflecting strong non-additive genetic effects involved in quantitative trait expression. A general overview of genomic selection (GS), a modern breeding tool that has been very successfully applied in animal and plant breeding, is given. This review discusses key elements of GS and its potential to significantly increase the rate of genetic gain in sugarcane, mainly by (i) reducing the breeding cycle length, (ii) increasing the prediction accuracy for clonal performance, and (iii) increasing the accuracy of breeding values for parent selection. GS approaches that can accurately capture non-additive genetic effects and potentially improve the accuracy of genomic estimated breeding values are particularly promising for the adoption of GS in sugarcane breeding. Finally, different strategies for the efficient incorporation of GS in a practical sugarcane breeding context are presented. These proposed strategies hold the potential to substantially increase the rate of genetic gain in future sugarcane breeding.