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Fig. 1. Schematic of the modular structures and linkages between QU-GENE and APSIM used to simulate S1 recurrent selection of sorghum for adaptation to dryland environments. Several other selection strategies that can be simulated as QU-GENE application modules are indicated (e.g., pedigree selection) although the multiple crop and systems modules of APSIM are not. Gene action is defined as expression states that become trait value inputs to APSIM-Sorg, together with soil and weather data. Output from APSIM is processed to define both the yield of all possible genotypes (expression state combinations) and the frequency of drought environment types (ETs) encountered in the target population of environments (TPE). This output comprises the genotype–environment space to which QU-GENE applied S1 recurrent selection to search for superior genotypes. MET, multienvironment trial.
