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Prediction accuracy of resistance to sugarcane orange rust using linear regressions based on up to the 20 most significant single nucleotide polymorphisms (SNPs) identified in a multi-locus genome-wide association study (ML-GWAS), based on a leave-one-out cross-validation (LOOCV) methodology

Prediction accuracy of resistance to sugarcane orange rust using linear regressions based on up to the 20 most significant single nucleotide polymorphisms (SNPs) identified in a multi-locus genome-wide association study (ML-GWAS), based on a leave-one-out cross-validation (LOOCV) methodology

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Key message Six QTLs of resistance to sugarcane orange rust were identified in modern interspecific hybrids by GWAS. For five of them, the resistance alleles originated from S. spontaneum. Altogether, they efficiently predict disease resistance. Abstract Sugarcane orange rust (SOR) is a threatening emerging disease in many sugarcane industries wor...

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