Authors
Shanice Van Haeften, Stephanie M Brunner, Eric Dinglasan, Edward Fabreag, Joseph Eyre, Celine Mens, Ben J Hayes, Michael Udvardi, Samir Alahmad, Mitchell Eglinton, Ryan McQuinn, Merrill Ryan, Sarah van der Meer, Millicent R Smith, Lee T Hickey
Published in
Plant communications. Pages 102081. Aug 20, 2026. Epub Aug 20, 2026.
Abstract
Legume crops provide protein-rich food, critical disease breaks in cereal rotations, and contribute to soil fertility through symbiotic nitrogen fixation. However, crop improvement programs typically focus on within-crop performance rather than system-level benefits. We hypothesise that legacy effects (the influence of one crop's genotype on subsequent crop performance) are under genetic control and could be leveraged in breeding programs. To test this, we evaluated how 309 genetically diverse mungbean genotypes influence subsequent wheat performance. The mungbean panel was grown, followed by a single wheat cultivar sown in the same plot locations. Remarkably, wheat yield varied by nearly 1 t ha-1 (2.52-3.49 t ha-1) depending solely on the preceding mungbean genotype, with legacy effects displaying moderate heritability (H2: 0.43-0.65) and demonstrating untapped genetic potential for breeding, although these estimates derive from a single site and season and require validation across environments. Analyses of mungbean traits, soil properties, and volatile organic compounds identified root architecture, symbiotic nitrogen fixation and the soil microbiome as candidate mechanisms underlying legacy effects, which remain to be tested directly. Haplotype mapping identified genomic regions in mungbean associated with wheat yield, and to a lesser extent grain protein, revealing trade-offs between within-crop performance and legacy effects. Genetic simulations using empirically derived marker effects compared genomic selection strategies targeting mungbean yield, wheat yield, or both simultaneously. A selection strategy placing equal weight on mungbean yield and subsequent wheat yield (50:50 weighting) achieved simultaneous gains in both crops (19.5% and 7.6%), highlighting the opportunity to breed for system-level productivity with reduced input requirements.
PMID:
42619259
Bibliographic data and abstract were imported from PubMed on 20 Aug 2026.
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