Exploiting historical agronomic data to develop genomic prediction strategies for early clonal selection in the Louisiana sugarcane variety development program.

Abstract excerpt

Genomic selection can enhance the rate of genetic gain of cane and sucrose yield in sugarcane (Saccharum L.), an important industrial crop worldwide. We assessed the predictive ability (PA) for six traits, such as theoretical recoverable sugar (TRS), number of stalks (NS), stalk weight (SW), cane yield (CY), sugar yield (SY), and fiber content (Fiber) using 20,451 single nucleotide polymorphisms (SNPs) with 22...

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• Bayes Theorem
• Genome, Plant
• Genomics
• Louisiana
• Plant Breeding