Modeling Phenological Stages And Morphological Formation In Maize

The present study based on field experiment. To Jinshan27,Xianyu335,Weike702,Zheng dan958as the test material,The research systematically established the machanism pattern to predict flower bud differentiation and phenophase of Maize, using the principle of crop phisiological development time constancy. The specific Beta and quadratic functions were used to describe daily thermal and photoperiodical effectiveness, decreasing parameter from2to1. 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 growth stage (including emergence, jointing, silking, filling and maturity) and tassel and ear differentiation stages (including growing tip lengthening, spikelet differentiation, floret differentiation stage and sexual organ development) 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、ear and tassel growth、stem-sheath angle of Maize 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 than3d.The results showed that the ranges of absolute prediction errors of internode length in different genetopy of maize were0.0-2.5cm,and that of the root mean square errors (RMSE) were0.2-0.8cm. the ranges of absolute prediction errors of internode width in different genetopy were0.001-0.397cm, and that of the root mean square errors (RMSE) were0.050-0.156cm;the ranges of absolute prediction errors of leaf length in different genetopy were0.0-2.6cm.and that of the root mean square errors (RMSE) were0.5-1.lcm;the ranges of absolute prediction errors of leaf wideth in different genetopy were0.1-1.4cm,and that of the root mean square errors (RMSE) were0.1-0.5cm;the ranges of absolute prediction errors of ear length in different genetopy were0.0-1.5cm,and that of the root mean square errors (RMSE) were0.4-0.7cm;the ranges of absolute prediction errors of ear wideth in different genetopy were0.1-1.4cm,and that of the root mean square errors (RMSE) were0.070-0.141cm;the ranges of absolute prediction errors of tassel length in different genetopy were0.000-0.255cm.and that of the root mean square errors (RMSE) were0.5-0.9cm; the ranges of absolute prediction errors of tassel wideth in different genetopy were0.1-1.4cm,and that of the root mean square errors (RMSE) were0.050-0.066cm.The ranges of absolute prediction errors of the stem-sheath angle of maize were0.0-2.7°, the root mean square errors (RMSE) were0.6-1.2°.The model reflected an enhanced level of prediction.