Wheat crops are highly sensitive to elevated temperatures, particularly during pollen meiosis and early grain filling. As the impact of heat stress greatly depends on the developmental stage of a crop, wheat germplasm ranking for heat tolerance in field experiments may be confounded by variation in developmental phase between genotypes at the time of heat events. Deploying an artificial-photoperiod-extension method (PEM) has allowed screening of diverse genotypes at matched developnemtal phases during natural heat events despite phenological varations. Irrigated experiments with 32 wheat genotypes were conducted in south-east Queensand, Australia with either (i) the PEM or (ii) conventional field plots. The Ppaired PEM and conventional field plot trials were sown at differentwith serial sowing dates from June to September.. In the PEM, plants were sown in single rows or in small plots and artificial supplemental lighting was installed at one end of each row/plot, extending day length to 20 h close to the lights. The intensity of supplementary lighting diminished as the distance from the lights increased, and induced a gradient of flowering times along each row/plot. Spikes of each genotype were tagged when they flowered. Late-sown crops received more heat shocks during early and/or mid-grainfilling than earlier sowings, and suffered significant yield losses. Significant genotypic differences in heat tolerance ranking were observed between PEM versus conventional plot screening. Individual grain weight of the tested wheat genotypes was strongy correlated in the PEM plots experiencing a similar degree of heat, but the correlation was either poor or negative in conventional plot trials. With PEM, we successfully quantified the impact post-flowering heat on individual grain weight of wheat genotypes with the heat events occurring precisely at a specific developmental stage. The PEM results produced robust field based rankings of genotypes for heat tolerance within trials experiencing similar heat events. This method promises to improve the efficiency of heat tolerance field screening, particularly when comparing genotypes of different maturity types.