Genomic selection for lucerne biomass yield in di erent stressprone environments

• Autores: Annicchiarico, Paolo; Nazzicari, Nelson; Pecetti, Luciano; Hayek, Taoufik; Bouizgaren, Abdelaziz; Laouar, Meriem; Brummer, Edward Charles; Cornacchione, Monica; Basigalup, Daniel Horacio
• Año de publicación: 2019
• Idioma: inglés
• Tipo de recurso: artículo
• Fuente: Grassland Science in Europe 24 : 247-249. (2019)
• Materia: Medicago sativa; Mejora; Tolerancia a la Sequia; Rendimiento; Genómica; Salinidad; Biomasa; Estrés de Sequia; Breeding; Drought Tolerance; Yields; Genomics; Salinity; Biomass; Drought Stress; Alfalfa; Lucerne
• Institución: Instituto Nacional de Tecnología Agropecuaria

Trabajo presentado en: Improving sown grasslands through breeding and management. Proceedings of the Joint 20th Symposium of the European Grassland Federation and the 33rd Meeting of the EUCARPIA Section ‘Fodder Crops and Amenity Grasses’ Zürich, Switzerland 24-27 June 2019
Climate change and reduced irrigation water emphasize the need for lucerne (Medicago sativa L.) varieties with improved yield under drought and saline conditions. Marker-based selection may o!er opportunities, owing to low yield gains displayed by phenotypic selection. "is study generated preliminary results on the ability of genomic selection to predict lucerne breeding values and the extent of genotype × environment (GE) interaction for several stress-prone environments. Some 128 genotypes issued from an elite broadlybased reference population were genotyped via Genotyping-by-Sequencing, and phenotyped according to biomass yield of their half-sib progenies over a period ranging from $ve months to two years in four agricultural environments of Algeria, Argentina, Morocco and Tunisia featuring drought or salinity stress, and three environments of Italy with contrasting managed drought stress. AMMI analysis and estimates of genetic correlation revealed large GE interaction even across drought-prone environments. Genome-enabled predictive ability was mostly low albeit not quite unfavourable when compared with phenotypic selection opportunities. It tended to be higher under favourable conditions than under stress and in the last harvest, suggesting that it may increase for yield collected over a longer time span. Genomic selection was particularly convenient for selecting varieties with wide adaptation across stress conditions.
EEA Manfredi
Fil: Annicchiarico, Paolo. Council for Agricultural Research and Economics. Research Centre for Fodder Crops and Dairy Productions; Italia
Fil: Nazzicari, Nelson. Council for Agricultural Research and Economics. Research Centre for Fodder Crops and Dairy Productions; Italia
Fil: Pecetti, Luciano. Council for Agricultural Research and Economics. Research Centre for Fodder Crops and Dairy Productions; Italia
Fil: Hayek, Taoufik. Institut des Régions Arides de Médenine; Tunez
Fil: Bouizgaren, Abdelaziz. Institut National de la Recherche Agronomique du Maroc. Centres Régionaux de Marrakech et de Rabat; Marruecos
Fil: Laouar, Meriem. Ecole Nationale Supérieure Agronomique; Argelia
Fil: Brummer, E. Charles. University of Georgia. Crop and Soil Science Depeparment. Center for Applied Genetic Technologies; Estados Unidos
Fil: Cornacchione, Monica. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina
Fil: Basigalup, Daniel Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi. Grupo de Mejoramiento Genético de Alfalfa; Argentina