Claim · model-written summary
Incorporating environmental drivers of GEI into SNB risk models could enhance prediction accuracy.
- Taxon
- Winter Wheat
Triticum aestivumt0 - Interactor
- Stagonospora nodorum
Parastagonospora nodorumt0pathogen - Outcome
- prediction accuracye6
Verbatim
t0“Performance and Stability of Winter Wheat Cultivars to Stagonospora nodorum Blotch Epidemics in Multi-Environment Trials”
e6“suggests that incorporating environmental drivers of GEI into SNB risk models could enhance prediction accuracy”
Title
Vinicius C. Garnica; Mohammad Nasir Shalizi; Peter S. Ojiambo Phytopathology 2025. doi:10.1094/phyto-12-24-0398-r
Other claims from this paper (5)
- Observation USG 3230 was the top-performing and most stable winter wheat cultivar based on OP and RMSD.
- Observation TURBO and SH7200 were more unstable winter wheat cultivars based on OP and RMSD.
- Observation Cultivar reaction classes derived from OP gave consistent class-level means of marginal predictions across environments, supporting their use as SNB susceptibility indicators.
- Observation Most environment pairs showed high genetic correlations, indicating agreement in cultivar rankings, with values from −0.15 to 0.99.
- Observation Some low genetic correlation values revealed rank instability and non-crossover GEI.