From cultivar mixtures to allelic mixtures: opposite effects of allelic richness between genotypes and genotype richness in wheat. Issue 6 (26th January 2022)

• Record Type: Journal Article
• Authors: Montazeaud, Germain; Flutre, Timothée; Ballini, Elsa; Morel, Jean‐Benoit; David, Jacques; Girodolle, Johanna; Rocher, Aline; Ducasse, Aurélie; Violle, Cyrille; Fort, Florian; Fréville, Hélène
• Is Part Of: New phytologist. Volume 233:Issue 6(2022)
• Page Start: 2573
• Page End: 2584
• Publication Date: 2022-01-26
• Subjects: allelic richness -- crop -- diversity -- genome‐wide analysis -- plant–plant interactions -- Septoria tritici blotch -- varietal mixtures; Botany -- Periodicals; 580
• DOI: 10.1111/nph.17915
• Languages: English
• ISSNs: 0028-646X

Abstract

Summary: Agroecosystem diversification through increased crop genetic diversity could provide multiple services such as improved disease control or increased productivity. However, we still poorly understand how genetic diversity affects agronomic performance. We grew 179 inbred lines of durum wheat in pure stands and in 202 binary mixtures in field conditions. We then tested the effect of allelic richness between genotypes and genotype richness on grain yield and Septoria tritici blotch disease. Allelic richness was tested at 19K single nucleotide polymorphisms distributed along the durum wheat genome. Both genotype richness and allelic richness could be equal to 1 or 2. Mixtures were overall more productive and less diseased than their pure stand components. Yet, we identified one locus at which allelic richness between genotypes was associated with increased disease severity and decreased grain yield. The effect of allelic richness at this locus was stronger than the effect of genotype richness on grain yield (−7.6% vs +5.7%). Our results suggest that positive effects of crop diversity can be reversed by unfavourable allelic associations. This highlights the need to integrate genomic data into crop diversification strategies. More generally, investigating plant–plant interactions at the genomic level is promising to better understand biodiversity–ecosystem functioning relationships.