Chinese Journal of Agrometeorology ›› 2011, Vol. 32 ›› Issue (04): 550-557.doi: 10.3969/j.issn.1000-6362.2011.04.012

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Research on the Simulation Models of Phenophase and Leaf Number of Controlled Tomato

ZHANG Zhiyou,CAO Hongxin,CHEN Binglin,LIU Yan,ZHAO Tongmin,LIU Yongxia   

  1. College of Agronomy,Nanjing Agricultural University,Nanjing 210095,China;Institute of Agricultural Economics and Information/Engineering Research Center for Digital Agriculture,Jiangsu Academy of Agricultural Sciences,Nanjing 210014;Institute of Vegetables,Jiangsu Academy of Agricultural Sciences,Nanjing 210014;China Academy of Tropical Agricultural Experiment Station,Haikou 571100
  • Online:2011-11-20 Published:2011-11-23

Abstract: Phenophase number leaf number models of controlled tomato were built in accordance with the principle,“physical development days are constant.Using the experiments data on variety (lines) and sowing date,and variety and season from different sites in Nanjing in 2009 and 2010,the models parameters were obtained,and the models were validated.The results indicated that when the phenophase model in this study was used to simulate a certain development period,the RMSE and the ADe between simulated and observed values were 2.65d and 3d from emergence to transplanting,1.51d and 1d from transplanting to flower bud,1.18d and 1d from flower bud to fruit setting,1.21d and 1d from fruit setting to fruit ripening period,respectively.The prediction accuracy of this phenophase model was higher than that of which model based on efficiency accumulate temperature.When the leaf number model was used to simulate the leaf number,RMSE and ADe between observation and simulation values were less than or equal to 0.5 leaves.It showed that the models developed in this paper could be used to predict the growth stage and leaf number of controlled tomato,and had better mechanism,general adaptability,and reliability.It could be used in digital management of controlled tomato.

Key words: Controlled tomato, Phenophase, Leaf number, Simulation model