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Cotton Modeling to Assess Climate Change and Crop Management December 2005 V. R. Reddy 1 and K. R. Reddy 2 1 USDA-ARS, Crop Systems and Global Change Laboratory,

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Presentation on theme: "Cotton Modeling to Assess Climate Change and Crop Management December 2005 V. R. Reddy 1 and K. R. Reddy 2 1 USDA-ARS, Crop Systems and Global Change Laboratory,"— Presentation transcript:

1 Cotton Modeling to Assess Climate Change and Crop Management December 2005 V. R. Reddy 1 and K. R. Reddy 2 1 USDA-ARS, Crop Systems and Global Change Laboratory, BARC-West, Beltsville, MD 20705, USA 2 Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS 39762, USA

2  Provide quantitative description and understanding of biological problems.  Help pinpoint knowledge gaps.  Design critical experiments.  Synthesize knowledge about different components of a system.  Summarize data.  Transfer research results to users. Why Do We Need Models?

3  Farm management (e.g. planting, irrigation, fertilization and harvest scheduling).  Resource management (e.g. several Govt. agencies and private comp. use).  Policy analysis.  Production forecasts (e.g. global, regional and local forecasts).  Research and development (e.g. research priorities and guide fund allocations).  Turning information into knowledge (e.g. information overflow in every area including agricultural research). Demand for Models

4 Timeline for Information Flow Identify knowledge void Conceptualize the experiment Implementation Analyze data Publication Technology transfer Farm decisions Crop model/DSS Months Months/Years Months Years Months/Years Scientists Ext. Personnel Industry Reps Consultants Farmers Months/Years Months

5 SPAR – Database for Modeling

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7 GOSSYM: Model Structure PMAP COTPLT GOSSYM CLYMAT SOIL CHEM PNET GROWTH PLTMAP OUTPUT PIX PREP RUTGRO NITRO MATAL DATES TMPSOL FRTLIZ ET UPTAKE CAPFLO NITRIF RIMPED ABSCISE FREQ RAIN FERT RUNOFFGRAFLO For more details on model structure: Hodges et al., 1998

8 GOSSYM: Model Validation United StatesGreece China Israel  Continuous evolution of the model by extensive testing across diverse environments, soil conditions and cultural practices.  Information feedback from scientists, farmers and farm managers.

9 Climate Change Effects

10 Climate Change – Cotton Yield Extreme Years Lint yield

11 Tillage and Erosion Studies  GOSSYM was used to evaluate the effects of erosion and erosion-related activities on lint yields.  GOSSYM was also used to investigate the effects of simulated tillage and wheel traffic on growth and yield.

12 Insect Damage Assessment  RbWHIMS: Rule-based Wholistic Insect Management System.  Provides information to the user for determining pesticide management strategies.  Recommendations include: extent of pest control,timing of pesticide application/no application and when to observe the field for future management strategies.

13 Genetics Improvement Research  GOSSYM – a tool to predict the effect and economic benefit of various genetic combinations.  Photosynthesis was found to be the limiting factor in the okra leaf-type cottons which have more number of bolls/plant and less lint yield than normal leaf-type cottons.

14 GOSSYM: Educational Applications  As a tool for learning: principles of crop and soil management.  As a classroom teaching tool: graphically presents the changes in plant growth and development.  Educating farm managers to improve their crop productivity.  Assist crop consultants in the decision making process.  22 (15 Ph.D and 7 MS) theses on GOSSYM were accepted since 1979 at MSU.  GOSSYM served as a template to other crop models (melons, soybean, corn, wheat, rice and potato) at USDA.

15 GOSSYM: Model Applications Field Scale

16 Pre-season and In-season Decisions  Timely decisions can be taken by predictions with GOSSYM.  Helps in decision-making regarding leasing of farms.  Estimations before hand – fertilization and irrigation costs.  GOSSYM – for determining crop termination, nitrogen application, irrigation management.

17 Growth Regulator Applications

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19 GOSSYM: Reap Profits  In another study, GOSSYM plots had a profit of $100 - $350 ha -1 (McKinion et al., 1989).  GOSSYM plots had a profit of $80 ha -1 than farmer plots (Ladewig and Powell, 1992). GOSSYM PlotsFarmer Plots

20 GOSSYM Deficiencies and Future Development Needs

21 Deficiencies and Future Needs Fiber quality? Nutrients other than C and N? Extreme weather, Hail? Winds? Modern/transgenic cottons? Damage due to UV-B/pests/herbicides? GOSSYM

22 Thank You Shall We Discuss!


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