Researches of Optimum Leaf Area Index Dynamicmodels for Rape(Brassica napus L.)

The objectives of developing optimum leaf area index dynamic models for rape (OLAIDM) was to develop Rape Cultivation Simulation-Optimization- Decision Making System(Rape-CSODS) , to design its planting , to regulate and control its growth and development, and to fulfill its high yield, good quality, high benefits and standard production eventually. The OLAIDM were developed based on field experiments with 3 cultivars, 6 sowing dates, 2 types of plant pattern and 4 sites from 2002 to 2007 in middle and lower valley of Yangtze river in China and relative data from references of rape researches, employed ideas of R/WCSODS (Rice/Wheat Cultivation Simulation- Optimization-Decision Making System), and in the same time, the OLAIMR and its parameters also were assessed, calibrated and tested. The average absolute deviation(de), correlation coefficients(r) and the standard errors of their absolute deviation(Sde) of between the observed and simulated values for LAI of two cultivars in Wuhan and Nanjing were -0.03~0.1533, 0.9707~0.9997 and0.1332~0.4032, respectively. 1:1 line of them were in Fig. 1 to 4. Multi-factors such as the ramification types, cultivars, and light et al. were taken into account in this study, therefore, the OLAIDM with general adaptability, clear yield aim, mechanism, and dynamic characteristic can simulate optimum LAI dynamic for rape under different sites, cultivars and ramification types, and yielding levels.

[1]  Shi ChunLin,et al.  Wheat cultivational simulation-optimization-decision making system (WCSODS). , 2000 .

[2]  Cao Hong Researches of Simulation Models of Rape(Brassica napus L.) Growth and Development , 2006 .

[3]  Cao Weixing,et al.  A mechanistic of phasic and phenological development in rape I. Description of the model , 2004 .

[4]  M. Andersen,et al.  Development and evaluation of a CERES-type model for winter oilseed rape , 1998 .

[5]  Tian Yongchao A dynamic knowledge model for fertilization management in rapeseed. , 2005 .

[6]  Liao Gui Development of knowledge-base of the expert system for rapeseed production , 2002 .

[7]  Søren Hansen,et al.  Parameter assessment for simulation of biomass production and nitrogen uptake in winter rape , 1995 .

[8]  François Husson,et al.  Evaluation of CECOL, a model of winter rape (Brassica napus L.) , 1998 .

[9]  E. KostShelton,et al.  Growth and development. , 1951, Ciba clinical symposia.

[10]  Liao Gui Study on Characteristics of Dry Matter Accumulation, Distribution and Transfer of Winter Rapeseed ( Brassica napus ) , 2002 .

[11]  R. C. Izaurralde,et al.  Epic Model Parameters for Cereal, Oilseed, and Forage Crops in the Northern Great Plains Region , 1995 .

[12]  J. King,et al.  TEMPERATURE EFFECTS ON GERMINATION OF RAPESEED (Brassica napus L. AND B. campestris L.) , 1983 .

[13]  Senthold Asseng,et al.  Simulating response of canola to sowing date in Western Australia. , 2001 .

[14]  John M. Blatt,et al.  Description of the Model , 1988 .

[15]  B. Habekotté,et al.  Evaluation of seed yield determining factors of winter oilseed rape (Brassica napus L.) by means of crop growth modelling , 1997 .