沈阳农业大学学报2017，Vol.48Issue(5)：567-575,9.DOI:10.3969/j.issn.1000-1700.2017.05.008
沈阳自然气候条件下拔节和抽雄期水分胁迫玉米的生长模拟研究
Simulation of Maize Growth under Water Stress during Jointing and Tasseling in Shenyang Natural Climate Condition
摘要
Abstract
In order to study the suitability of software DSSAT in the use of simulating maize growth, we applied DSSAT-CERES-Maize to simulate the growth and yield of maize under water stress in Liaoning Province in field test. The optimal plan was also determined for the estimation of genetic parameters and model verification. Field experiments were conducted in a rainproof shelter under water stress at different growth stages of maize. The whole growth season of maize was divided into 5 stages, seedling, jointing, tasseling, filling and mature. Water stress occurred at jointing (J1, J2, JCK) and tasseling (T1, T2, TCK) stages. Three water stress levels were applied, including mild water stress (60%-65% of field capacity), moderate water stress (45%-50% of field capacity) and severe water stress (30%-35% of field capacity). There were 6 treatments with 3 replications. The experimental data were used for model calibration and verification. The DSSAT-GLUE, a program package for parameter estimation in DSSAT, was used to estimate the relevant genetic coefficients. Then the results were compared for the discrepancies between corresponding simulated and observed values of phenological phase, grain weight, yield, leaf area index (LAI), and soil moisture so as to determine the accuracy of DSSAT-CERES-Maize Model in simulating the agro-ecological processes of maize farming system in Liaoning Province. The results showed that the genetic coefficient of P2 varied remarkably under different levels of water stress with a variation coefficient of 59.03%. In order to improve model accuracy, the observed data of the treatments under mild water stress and water stress at late growth stage should be chosen for genetic parameter estimation, and the error could be reduced to 6.7%-9.9%. The simulation results of LAI and soil moisture dynamics showed that the treatmentwith mild water stress achieved the highest simulation accuracy among all treatments at the same growing stage. For the same degree of water stress, the simulation accuracy at tasseling stage was higher than that at the jointing stage. The results of leave-one-out cross validation showed that the overall error was about 12%-15% for DSSAT-CERES-Maize Model in simulating maize growth and yield under different levels of water stress designed in this study. It was concluded that DSSAT-CERES-Maize Model is very suitable in simulating maize growth in Liaoning Province.关键词
玉米/水分胁迫/CERES-Maize模型/留一交叉验证Key words
maize/water stress/CERES-Maize Model/keep-one-out cross-validation分类
农业科技引用本文复制引用
李波,赵子龙,王铁良,丰雪,姚名泽,邢经伟..沈阳自然气候条件下拔节和抽雄期水分胁迫玉米的生长模拟研究[J].沈阳农业大学学报,2017,48(5):567-575,9.基金项目
农业部公益性行业科研专项项目(201303125) （201303125）
辽宁省自然科学基金项目(2015020770) （2015020770）
