SOYGRO模型在大豆产量预测中的应用

本文概括地介绍了美国《农业技术推广决策支持系统（ＤＳＳＡＴ）》中模拟大豆生长，产量预测的大豆子模型（ＳＯＹＧＲＯ）及其应用。作者采集了ＫＡＮＳＡＳ州四个地区，７个年份，１２个品种的田间试验数据，早，晚２个播期，这，窄２种行距，共计１１０个组合。气象数据为：日最高，最低温度，降雨量和日照，及土壤剖面参数，通过ＤＳＳＡＴ３．０软件的子模块ＳＯＹＧＲＯ对大豆的产量和成熟期进行预测。结论是：利用ＳＯＹＧＲ

SOYGEO MODDEL USED FOR SIMULATION OF THE SOYBEAN YIELD

This paper describes the simulation and utilization of soybean growth and yield of SOYGRO, sub-model in DSSAT (Decision support system for agro-technology transfer) software. Data from soybean field experiments at 4 locations, KS, U.S.A in 7 years were used for Fig. 2,3. Data for 12 soybean cultivars, at two row spacing and two planting dates (early and late) were available used. Entered through the DSSAT V3.0 system, and used to simulate soybean yields and maturity. However, these results indicate that SOYGRO can be helpful in predicting Kansas's soybean growth, development, and yield.