首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于APSIM模型的降水量分配对旱地小麦和豌豆产量影响的研究
引用本文:李 广,黄高宝.基于APSIM模型的降水量分配对旱地小麦和豌豆产量影响的研究[J].中国生态农业学报,2010,18(2):342-347.
作者姓名:李 广  黄高宝
作者单位:1. 甘肃农业大学信息科学技术学院,兰州,730070
2. 甘肃农业大学农学院,兰州,730070
基金项目:国家科技支撑计划项目(2006BAD15B06)和国家自然科学基金项目(40771132)资助
摘    要:为探索降水量分配对作物产量的作用机制和规律,在对APSIM模型检验的基础上,运用APSIM模型和多元积分回归方法研究黄土高原雨养农业区降水季节分配对作物产量的影响。结果表明:APSIM模型可用来模拟小麦和豌豆的产量;作物产量除与年降水总量有关外,还与降水量的季节分配有关;降水量的季节分配对小麦和豌豆产量影响为开口向上的二次曲线,并且都为正效应;当年6~7月份降水对小麦产量影响最大,5~6月份降水对豌豆产量影响最大,最大贡献率为每增加1mm的降水量,小麦增产10.4kg·hm-2,豌豆增产10.3kg·hm-2;降水量季节分配比年降水总量对作物产量的形成有更为深刻的影响。

关 键 词:APSIM  多元积分回归  降水量季节分配  作物产量  小麦  豌豆  雨养农业区  黄土高原
收稿时间:2009/6/22 0:00:00
修稿时间:2009/10/9 0:00:00

Determination of the effect of precipitation distribution on yield of wheat and pea in dryland using APSIM
LI Guang and HUANG Gao-Bao.Determination of the effect of precipitation distribution on yield of wheat and pea in dryland using APSIM[J].Chinese Journal of Eco-Agriculture,2010,18(2):342-347.
Authors:LI Guang and HUANG Gao-Bao
Institution:College of Information Science and Technology, Gansu Agricultural University, Lanzhou 730070, China;College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China
Abstract:By using APSIM model, the effect of precipitation seasonal distribution on crop yield was determined in rain-fed agriculture area of the Loess Plateau. Next, the effect of precipitation seasonality on crop yield was explored via integral regression analysis. The study shows that APSIM model can reliably simulate wheat and pea yield. Crop yield is highly related with annual precipitation and its seasonal distributon. The seasonal distribution of participation has a positive U-shaped quadratic relation with wheat and pea yield. Precipitation in the months of June and July significantly influences wheat yield, while that in the months of May and June importantly influences pea yield. With 1 mm increase in precipitation, wheat and pea yield respectively increases at the rate of 10.4 kg·hm-2 and 10.3 kg·hm-2. Seasonal precipitation distribution more importantly influences crop yield than annual precipitation.
Keywords:APSIM model  Integral regression analysis  Precipitation seasonal distribution  Crop yield  Wheat  Pea  Rain-fed agriculture area  Loess plateau
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《中国生态农业学报》浏览原始摘要信息
点击此处可从《中国生态农业学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号