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Acta Agron Sin ›› 2015, Vol. 41 ›› Issue (05): 766-777.doi: 10.3724/SP.J.1006.2015.00766


Dynamic Simulation Model for Growth Duration of Rapeseed (Brassica napus)

ZHANG Ya-Jie1,2,LI Jing1,PENG Hong-Kun1,CHEN Xiu-Bin1,ZHENG Hong-Yu1,CHEN Sheng-Bei2,LIU An-Guo1,HU Li-Yong1,*   

  1. 1 College of Plant Science and Technology of Huazhong Agricultural University, Wuhan 430070, China; 2 Hainan Meteorological Service, Haikou 570203, China
  • Received:2014-07-04 Revised:2015-02-06 Online:2015-05-12 Published:2015-03-13
  • Contact: 胡立勇, E-mail: liyonghu@mail.hzau.edu.cn E-mail:zhyajie87@163.com


Field experiments with different sowing dates were carried out for two successive years using 13 rapeseed (Brassica napus) varieties with different growth durations to focus on the growth and development processes of the varieties under different photoperiod-temperature conditions. A dynamic simulation model for predicting growth duration of rapeseed was developed by a combined analysis on different factors. The theory of rapeseed physiological ecology, the principle of constant physiological development time (PDT), and the relationships between different growth and development stages and environmental factors such as temperature and photoperiod were the basis for simulating the model. Logistic curve was used to simulate photoperiod effect, harmonic analysis was used to analyze the changes of day and night temperatures, and piecewise functions of sine exponent equation was adopted to describe thermal and vernalization effects. Four parameters with genetic characteristics, including photoperiod susceptibility, temperature sensitivity, physiological vernalization time and pod period factor, were determined and verified for the accuracy of the model. The test results showed the average of the root mean square errors (RMSE) between the observed and simulated values was 2.67 days for different sowing dates, and 3.74 days for different varieties, respectively. Clustering analysis using four genetic parameters verified the classification of 13 varieties and conformed to their characteristics. The results indicated the model can reveal relative accurately within certain range the response of rapeseed to temperature and photoperiod. Therefore, it can be used as a reliable tool for predicting the growth duration of rapeseed.

Key words: Rapeseed (Brassica napus L.), Growth duration, Physiological development time (PDT), Dynamic simulation model

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