Article
Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance.
Scientific reports - 18 Nov 2020
Aono Alexandre Hild, Costa Estela Araujo, Rody Hugo Vianna Silva, Nagai James Shiniti, Pimenta Ricardo José Gonzaga, Mancini Melina Cristina, Dos Santos Fernanda Raquel Camilo, Pinto Luciana Rossini, Landell Marcos Guimarães de Andrade, de Souza Anete Pereira, Kuroshu Reginaldo Massanobu
Abstract excerpt
Sugarcane is an economically important crop, but its genomic complexity has hindered advances in molecular approaches for genetic breeding. New cultivars are released based on the identification of interesting traits, and for sugarcane, brown rust resistance is a desirable characteristic due to the large economic impact of the disease. Although marker-assisted selection for rust resistance has been successful,...
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