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Experimental validation of genomic selection in Sugarcane : P0197

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Date: Monday, January 14, 2013

P0197

Experimental Validation of Genomic Selection in Sugarcane

Room: Grand Exhibit Hall

Matthieu Gouy , eRcane, Cirad, Université de la Réunion (UMR PVBMT), Sainte-Clotilde ad (UMR PVBMT), Saint-Pierre (Réunion), France

ance e by highly as rT. . S (Réunion), France

Yves Rousselle , Cir

Jean-Yves Hoarau , CIRAD, (UMR AGAP), Petit-Bourg (Guadeloupe), Fr Laurent Costet , CIRAD (UMR PVBMT), Saint-Pierre (Réunion), France Samuel Nibouche , CIRAD (UMR PVBMT), Saint-Pierre (Reunion), Franc Sugarcane cultivars (Saccharum spp.) are interspecific hybrids characterized

heterozygous and polyploid genome. Genomic selection (GS) approach is believed to be well suited for complex traits by including all markers in prediction models. Our objective w to test the GS approach in a complex polyploid crop. Predictions of genetic values were carried out on two independent panels, each composed of 167 cultivars and breeding materials covering the worldwide diversity. Accessions were genotyped using 1499 DA Phenotyping was carried out in Reunion for one panel and in Guadeloupe for the other one We considered ten traits relative to sugar and fiber contents, digestibility and composition of the bagasse, plant morphology and disease resistances. We used seven predictive models: Bayesian Regression, Bayesian LASSO, Ridge-regression, BayesA, BayesB, Reproducing Kernel Hilbert Space and Partial Least Square Regression. Accuracies of predictions were assessed through correlations between observed and predicted genetic values, firstly by using a cross-validation within each panel, and secondly by using a cross-validation between panels. Accuracies of predictions were of similar value between the seven G models for a given trait, while differences were observed among traits. Depending on the trait considered, the average GS accuracy values related to within-panel prediction ranged from 0.29 to 0.61 in the Reunion panel and from 0.13 to 0.5 in the Guadeloupe panel. GS accuracy values based on cross-validations between the two independent panels ranged from 0.13 (smut resistance) to 0.55 (brix). This study represents the first validation of GS approach in sugarcane with experimental data.

Th

largestAg·Genomics Meeting in the World.

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