冬小麦水肥生产函数最小二乘法回归建模及分析  

Modeling and analysis of water-fertilizer production function of winter wheat by use of least-square regression

作　　者：曹永强[1,2,3] 刘琳[1] 姜莉[1] 张伟娜[1] 

机构地区：[1]辽宁师范大学城市与环境学院,辽宁大连116029 [2]农业部农业环境与气候变化重点开放实验室,北京100081 [3]中国科学院水利部水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室,陕西杨凌712100

出　　处：《水利水电科技进展》2010年第2期45-48,共4页Advances in Science and Technology of Water Resources

基　　金：国家自然科学基金(50979035);农业部农业环境与气候变化重点开放实验室2009年对外开放基金(200901);黄土高原土壤侵蚀与旱地农业国家重点实验室2008年对外开放基金主任基金(10501-213)

摘　　要：将最小二乘回归应用于北京市水利科学研究所永乐店试验站冬小麦水肥生产函数建模,建立了合理的、具有较强稳定性和预测能力的水肥生产函数模型。由该模型可知,水、肥2个因素都具有明显的增产效应。水肥耦合效应表现为水肥对产量的协同作用关系。随着作物耗水量的增加,化肥的利用效率得到提高,而增加化肥的投入量又能提高水分利用效率。The least-square regression was applied in the modeling of water-fertilizer production function of winter wheat at Yongledian Irrigation Station of Beijing Hydraulic Research Institute. A rational water-fertilizer production function model with strong stability and prediction performance was established. The modeling results show that the water and the fertihzer have remarkable production increase effect. Their coupling effect is represented by their co-action on the production of winter wheat. With the increase of water consumption of crops, the utilization efficiency of the fertilizer increases, and the increase of the fertilizer input raises the utilization efficiency of the water.

关 键 词：冬小麦种植 最小二乘回归 作物水肥生产函数 

分 类 号：S512.11[农业科学—作物学]