Agritrop
Home

Experimental assessment of the accuracy of genomic selection in sugarcane

Gouy Matthieu, Rousselle Yves, Bastianelli Denis, Lecomte Philippe, Bonnal Laurent, Roques Danièle, Efile Jean-Claude, Rocher Solen, Daugrois Jean-Heinrich, Toubi Lyonel, Nabeneza Serge, Hervouet Catherine, Telismart Hugues, Denis Marie, Thong-Chane Audrey, Glaszmann Jean-Christophe, Hoarau Jean-Yves, Nibouche Samuel, Costet Laurent. 2015. Experimental assessment of the accuracy of genomic selection in sugarcane. In : Pushing the frontiers of sugarcane improvement, ISSCT Workshop abstracts. ERCANE, ARTAS, Tereos Océan Indien. Saint-Gilles : ISSCT, p. 56. Germplasm and Breeding ISSCT Workshop. 11, Saint-Gilles, Réunion, 1 June 2015/5 June 2015.

Paper with proceedings
[img]
Preview
Published version - Anglais
Use under authorization by the author or CIRAD.
Gouy et al 2015_ Sasta_ Genomic selection.pdf

Télécharger (116kB) | Preview

Additional Information : A l'occasion de ce congrès, s'est également déroulé le 8th Molecular Biology ISSCT Workshop

Abstract : Sugarcane cultivars are interspecific hybrids with an aneuploid, highly heterozygous polyploid genome. The complexity of the sugarcane genome is the main obstacle to the use of marker assisted selection in sugarcane breeding. Given the promising results of recent studies of plant genomic selection, we explored the feasibility of genomic selection in this complex polyploid crop. Genetic values were predicted in two independent panels, each composed of 167 accessions representing sugarcane genetic diversity worldwide. Accessions were genotyped with 1499 DArT markers. One panel was phenotyped in Reunion Island and the other in Guadeloupe. Ten traits concerning sugar and bagasse contents, digestibility and composition of the bagasse, plant morphology and disease resistance were used. We used four statistical predictive models: bayesian LASSO, ridge regression, reproducing kernel Hilbert space and partial least square regression. The accuracy of the predictions was assessed through the correlation between observed and predicted genetic values by cross - validation within each panel and between the two panels. We observed equivalent accuracy among the four predictive models for a given trait, and marked differences were observed among traits. Depending on the trait concerned, within - panel cross validation yielded median correlations ranging from 0.29 to 0.62 in the Reunion Island panel and from 0.11 to 0.5 in the Guadeloupe panel. Cross validation between panels yielded correlations ranging from 0.13 for smut resistance to 0.55 for brix. This level of correlations is promising for future implementations. Our results provide the first validation of genomic selection in sugarcane. (Texte intégral)

Classification Agris : F30 - Plant genetics and breeding
U10 - Mathematical and statistical methods

Auteurs et affiliations

  • Gouy Matthieu, eRcane (REU)
  • Rousselle Yves
  • Bastianelli Denis, CIRAD-ES-UMR SELMET (FRA) ORCID: 0000-0002-6394-5920
  • Lecomte Philippe, CIRAD-ES-UMR SELMET (SEN) ORCID: 0000-0003-1040-7886
  • Bonnal Laurent, CIRAD-ES-UMR SELMET (FRA) ORCID: 0000-0001-5038-7432
  • Roques Danièle, CIRAD-BIOS-UMR AGAP (GLP)
  • Efile Jean-Claude, CIRAD-BIOS-UMR AGAP (GLP)
  • Rocher Solen, UAG (GLP)
  • Daugrois Jean-Heinrich, CIRAD-BIOS-UMR BGPI (FRA)
  • Toubi Lyonel, CIRAD-BIOS-UMR AGAP (GLP)
  • Nabeneza Serge, CIRAD-ES-UMR SELMET (REU)
  • Hervouet Catherine, CIRAD-BIOS-UMR AGAP (FRA)
  • Telismart Hugues, CIRAD-BIOS-UMR PVBMT (REU)
  • Denis Marie, CIRAD-BIOS-UMR AGAP (FRA)
  • Thong-Chane Audrey, eRcane (REU)
  • Glaszmann Jean-Christophe, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0001-9918-875X
  • Hoarau Jean-Yves, CIRAD-BIOS-UMR AGAP (REU) ORCID: 0000-0001-9734-4165
  • Nibouche Samuel, CIRAD-BIOS-UMR PVBMT (REU) ORCID: 0000-0003-2675-1382
  • Costet Laurent, CIRAD-BIOS-UMR PVBMT (REU) ORCID: 0000-0003-3199-2885

Source : Cirad-Agritrop (https://agritrop.cirad.fr/577169/)

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2020-09-30 ]