Chapter

Computer and Computing Technologies in Agriculture II, Volume 3

Volume 295 of the series IFIP Advances in Information and Communication Technology pp 1585-1594

Date:

RESEARCHES OF OPTIMUM LEAF AREA INDEX DYNAMICMODELS FOR RAPE(BRASSICA NAPUS L.)

  • Hongxin CaoAffiliated withInstitute of Agricultural Resources and Environment Research/Engineering Research Centerfor Digital Agriculture, Jiangsu Academy of Agricultural Sciences Email author 
  • , Chunlei ZhangAffiliated withInstitute of Oil Crops Research, Chinese Academy of Agricultural Sciences
  • , Guangming LiAffiliated withInstitute of Oil Crops Research, Chinese Academy of Agricultural Sciences
  • , Baojun ZhangAffiliated withNorthwest Sci-Tech, University of Agriculture and Forestry
  • , Suolao ZhaoAffiliated withNorthwest Sci-Tech, University of Agriculture and Forestry
  • , Baoqing WangAffiliated withNorthwest Sci-Tech, University of Agriculture and Forestry
  • , Zhiqing JinAffiliated withInstitute of Agricultural Resources and Environment Research/Engineering Research Centerfor Digital Agriculture, Jiangsu Academy of Agricultural Sciences
  • , Dawei ZhuAffiliated withInstitute of Agricultural Resources and Environment Research/Engineering Research Centerfor Digital Agriculture, Jiangsu Academy of Agricultural Sciences
  • , Juanjuan ZhuAffiliated withNorthwest Sci-Tech, University of Agriculture and Forestry
    • , Xiufang WeiAffiliated withInstitute of Agricultural Resources and Environment Research/Engineering Research Centerfor Digital Agriculture, Jiangsu Academy of Agricultural Sciences

Abstract

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.

Keywords:

rape optimum LAI dynamic models