Combining Experimental and Modeling Approaches to Understand Genotype x Sowing Date x Environment Interaction Effects on Emergence Rates and Grain Yield of Soybean.

摘要: Soybean emergence and yield may be affected by many factors. A better understanding of the cultivar x sowing date environment interactions could shed light into competitiveness soybean with other crops, notably, to help manage major biotic abiotic factors that limit production. We conducted a 2-year field experiments measure dynamics final rates three cultivars from different maturity groups, early conventional dates across locations. also measured germination parameter values groups under controlled parametrize SIMPLE crop model. This allowed us assess prediction quality model for perform simulations. Final conditions ranged 62% 92% 51% 94% sowing, respectively. The finely predicted courses (root mean square error (RMSEP), efficiency (EF), deviation (MD) ranging between 2% 18%, 0.46% 0.99%, -10% 15%, respectively) wide range tested. Differences in were found, not only among but locations same cultivar, although no clear trend or consistent ranking was found this regard. Modeling suggests seedling mortality dependent on soil type up 35% 14% silty loam soil, due surface crust aggregates, Non-germination least important cause all types (up 3% losses), while drought observed. average grain 3.1 4.0 t ha-1, it significantly irrigation regime (p < 0.001) year locations, cultivars. conclude is unlikely affect South-West France therefore represent an agronomic lever escape summer markedly region.