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作物模型及其应用(何建强,2011-4-1)
1. 自我介绍
个人基本情况
姓名:何建强 出生日期:1977年10月5日 籍贯:甘肃省天水市 工作单位
西北农林科技大学水利与建筑工程学院
通信地址
陕西省杨凌区渭惠路23iang_he@ mythbird@
Management Practices
Irrigation Management Soil Profile Physical Properties Management of N Fert. and Residues Soil Profile Chemical Prop. Management of P Fert. and Residues
工作经历
博士后:佛罗里达大学农业和生物工程系(the Department of Agricultural and Biological Engineering the University of Florida)
导师:James Jones 应用R语言编写DSSAT模型参数估计模块:GLUESelect 2008/5 – 2009/1
About 27 crops and vegetables First released (V2.1) in 1989 Current version V4.5
DSSAT模型基本结构 (DSSAT structure)
学习经历
学士:吉林大学机械工程学院
专业:机械制造及自动化 1996/9 – 2000/6
硕士:中国农业机械化科学研究院
专业:机械设计及理论 论文题目:“圆形和平移式喷灌机动力性能分析” 导师:金宏智(研究员) 2000/9 – 2003/6
学习经历
博士:佛罗里达大学农业和生物工程系(the Department of Agricultural and Biological Engineering, University of Florida) 专业:土地和水资源工程(Land and Water Resources Engineering) 论文题目:“Best Management Practices Development for Sweet Corn Production in North Florida ” 导师:Dr. Michael Dukes 学术委员会成员:Wendy Graham, James Jones, George Hochmuth, Jasmeet Judge, and Michael Annable 2004/1 – 2008/5
作物模型及其应用
Crop Models and Their Applications
何建强
西北农林科技大学水利与建筑工程学院 陕西-杨凌 2011-04-01
提纲 (Outline)
1. 自我介绍 2. 作物模型及其应用——以DSSAT模 型为例 3. 作物模型在世界和中国的发展 4. 关于在西农开展作物模型研究的设想
作物模拟的假设和组成
Modeling assumptions and components
模型组成——土壤营养(Components –
Soil Nutrients)
Soil nitrogen Phosphorus Organic matter Transformations, uptake, leaching losses, management inputs Other nutrients
作物模拟的假设和组成
Modeling assumptions and components
模型组成——土壤水分(Components –
Soil Water)
Soil water (root zone, one or two dimensional) Rainfall, runoff, soil evaporation, root water uptake/plant transpiration, deep percolation, re-distribution, irrigation Same as or similar to models used for irrigation and water quality studies
博士后:法国国家农业研究院(Génétique, Diversité et Ecophysiologie des Céréales,L’Institut National de la Recherche Agronomique, INRA, Clermont-Ferrand, France)
导师:Pierre Martre 参与英法合作项目“BBSEC-INRA Research Project IN-BB-06: Identification of traits and genetic markers to reduce the nitrogen requirement and improve the grain protein concentration of winter wheat”
(Hammer et al., 2006)
23/03/2015
9
作物系统模拟 Crop System Modeling
Research for Understanding Model Development Problem Solving Control/ Management/ Decision Support
A crop simulation model (CSM) has > 270 routines
Daily inputs: weather, management, pests ...
Output
No Yes
Senescence
Maturity?
Final output
DSSAT模型
Decision Support System for Agrotechnology Transfer
Solar Radiation Max/Min T Precipitation Cultivar Characteristics
Water, N, P Balance
Solar Radiation Max/Min T Precipitation Cultivar Characteristics
Increasing Demand for Inputs
作物模拟的假设和组成
Modeling assumptions and components
模型组成——作物生理过程(Components – Crop Processes)
Development (thermal-time) Photosynthesis (canopy radiation absorption) Respiration Nutrient uptake Tissue synthesis and partitioning
Potential production – growth determined by genetic, climate interactions Attainable production – growth determined by genetic, climate, water, nutrient access by plants Actual production – growth determined by above factors but also ―reducing factors‖, e.g., disease, insects, weeds
作物模拟的假设和组成
Modeling assumptions and components
基本假设(General assumptions)
Homogeneous area Mass balances in crop and soil (carbon, water, nitrogen, phosphorus, …) Usually, daily time step for rate calculations, integration Genotypic responses; parameters that depend on cultivar
作物模拟的动力学方程 Components - Equations
简化流程图 Simplified flow diagram
Initial inputs: start date, cultivar, soil, fertilizers … Management
Water & N balance Phenology Photosynthesis Respiration Partitioning
Increasing Complexity
Potential Production
Solar Radiation Max/Min T
Water Balance
Solar Radiation Max/Min T Precipitation Cultivar Characteristics
Water, N Balance
Cultivar Characteristics
Management Practices
Management Practices
Irrigation Management Soil Profile Physical Properties
Management Practices
Irrigation Management Soil Profile Physical Properties Management of N Fert. and Residues Soil Profile Chemical Prop.