Objective  By studying changes on the agronomic properties of Brassica chinensis L. in response to the light and temperature conditions in a greenhouse, morphology and yield of the plant were investigated.

  Method  A hydroponics experiment with a heat-resistant B. chinensis in a greenhouse was carried out. The environmental data were collected in real time, and the agronomic properties of the plants monitored continuously. Relationship between the plant agronomy and the greenhouse temperature and photosynthetically active radiation (or, the light and temperature function, LTF) was used to compare with other dynamic simulation models.

  Result  The agronomic indices including plant height, leaf number, leaf area, stem diameter, root length, and fresh weight of B. chinensis increased with increasing LTF in a fitting equation of an s-shaped function. Prediction by the LTF-based model was better than either TEP- or GDD-based model. The LTF model was not only more precise but also better fitted between the simulated and measured agronomic indices. It showed a R² of 0.907-0.984, a RMSE of 0.540-34.393, and a RE of 6.79-12.66%, which were superior to the RMSE and RE of 5.29-59.98% and 31.30-96.23% for TEP and GDD models, respectively.

  Conclusion  The LTF-based model was found to more accurately predict the growth and yield of B. chinensis than did the other models.