Modeling Phenological Stages And Morphological Formation In Soybean

In order to construct the simulation model of growth period and morphogenesis of soyben,with Jiang mo doulhao,Ken jian4hao,Bei dou5hao,Ji lin35hao,Meng dou28hao,Meng dou30hao as the test material, Based on the principle of crop phisiological development time constancy. The specific Beta and quadratic functions were used to describe daily thermal and photoperiodical effectiveness.Four variety genetic parameters, temperature sensitivity,photoperiod sensitivity,intrinsic earliness,filling fraction, were used to distinguish the difference in different variety.The phisiological development time of Flower primodium differentation period,Pistil and Stamen primodium differentation period. Ovule and Pollen formation period,Blooming, Podding,Seedfilling,Maturing and the Growing Degree Days (GDD) from sowing to seeding are determined; The research systematically established the machanism pattern to Leaf emergence and expansion,Internode Growth,pod growth,the leaf number of main stem,leaf area per plant and Population Leaf Area of soybeen, using the principle of crop phisiological development time constancy.The results after checking the model show that different sowing dates and ecological point in different growth stages of prediction errors are not more than5d, RMSE is less than3dThe results showed that the ranges of absolute prediction errors of internode longth in different genetopy of soybeen were0.01-0.67cm,and that of the root mean square errors (RMSE) were0.07-0.39cm. the ranges of absolute prediction errors of internode thick in different genetopy were0.001-0.088cm, and that of the root mean square errors (RMSE) were0.008-0.029cm;the ranges of absolute prediction errors of leaf length in different genetopy were0.02-0.37cm,and that of the root mean square errors (RMSE) were0.067-0.211cm; the ranges of absolute prediction errors of leaf wideth in different genetopy were0.03-0.54cm,and that of the root mean square errors (RMSE) were0.266-0.307cm; the ranges of absolute prediction errors of beanpod length in different genetopy were0.02-0.67cm,and that of the root mean square errors (RMSE) were0.183-0.336cm; the ranges of absolute prediction errors of beanpod wideth in different genetopy were0.03-0.22cm,and that of the root mean square errors (RMSE) were0.089-0.104cm; the ranges of absolute prediction errors of beanpod thickness in different genetopy were0.01-0.09cm,and that of the root mean square errors (RMSE) were0.041-0.057cm。The ranges of absolute prediction errors of the leaf number of main stem in different genetopy of soybeen were0-1,less than1; the absolute prediction errors ranges of the total leaf number of main stem in different genetopy were0.1-1.3, the root mean square errors (RMSE) were less than2; the absolute prediction errors ranges of the leaf area per plant in different genetopy were0.69-9.65cm2, the root mean square errors (RMSE) were less than7cm2; the absolute prediction errors ranges of the population leaf area in different genetopy were3.8-280.4m2/hm2, the root mean square errors (RMSE) were less than160m2/hm2。 The model shows enhanced level of prediction, has the certain mechanism.