A decision support system model for technology transfer

The Decision Support System for Agrotechnology Transfer-Cropping System Model (DSSAT-CSM) is a widely used modeling package that often simulates wheat yield and biomass well. However, some previous studies reported that its simulation on soil moisture was not always satisfactory. On the other hand, the Simultaneous Heat and Water (SHAW) model, a more sophisticated, hourly time step soil microclimate model, needs inputs of plant canopy development over time, which are difficult to measure in the field especially for a long-term period (longer than a year). The SHAW model also needs information on surface residue, but treats them as constants. In reality, however, surface residue changes continuously under the effect of tillage, rotation and environment. We therefore proposed to use DSSAT-CSM to simulate dynamics of plant growth and soil surface residue for input into SHAW, so as to predict soil water dynamics. This approach was tested using three conventionally tilled wheat rotations (continuous wheat, wheat-fallow and wheat-wheat-fallow) of a long-term cropping systems study located on a Thin Black Chernozemic clay loam near Three Hills, Alberta, Canada. Results showed that DSSAT-CSM often overestimated the drying of the surface layers in wheat rotations, but consistently overestimated soil moisture in the deep soil. This is likely due to the underestimation of root water extraction despite model predictions that the root system reached 80 cm. Among the eight growth/residue parameters simulated by DSSAT-CSM, root depth, leaf area index and residue thickness are the most influential characteristics on the simulation of soil moisture by SHAW. The SHAW model using DSSAT-CSM-simulated information significantly improved prediction of soil moisture at different depths and total soil water at 0-120 cm in all rotations with different phases compared with that simulated by DSSAT-CSM. Key words: Soil moisture, modeling, Decision Support System for Agrotechnology Transfer-Cropping System Model, Simultaneous Heat and Water Model

Download Full-text

Development and Application of Decision Support System for Agro-Technology Transfer DSSAT under Water Resources Management

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1073-1076.1596 ◽

2014 ◽

Vol 1073-1076 ◽

pp. 1596-1603

Author(s):

Yuan Shi ◽

Yi Nong Li ◽

Cheng Zhang ◽

Mei Jian Bai ◽

Yu Kun Wang

Keyword(s):

Decision Support ◽

Technology Transfer ◽

Water Resources ◽

Decision Support System ◽

Soil Water ◽

Water Resources Management ◽

Support System ◽

Cropping System ◽

System Structure ◽

Resources Management

The Cropping System Model (CMS) simulates growth, development and yield of a crop growing on a uniform area of land under prescribed or simulated management as well as the changes in soil water, carbon, and nitrogen that take place under the cropping system over time. Decision Support System for Agro-technology Transfer DSSAT is one of many cropping system models and has been relatively widely applied. In this paper, the development history, the system structure, and the application field of the model system are summarized, and the principle and mechanism of the model to simulate the soil-water balance in the study of water resources management and the representative study results obtained by the scholars in China are analyzed in detail, so as to provide references for relevant studies and applications.

Download Full-text

A Novel Knowledge Base Decision Support System Model for Breast Cancer Treatment

Sri Lanka Journal of Bio-Medical Informatics ◽

10.4038/sljbmi.v1i2.1609 ◽

2010 ◽

Vol 1 (2) ◽

pp. 97 ◽

Cited By ~ 1

Author(s):

Rajesh Kumar Sinha ◽

Manohara MM Pai ◽

M S Vidyasagar ◽

Vadhiraja B M

Keyword(s):

Breast Cancer ◽

Decision Support ◽

Decision Support System ◽

Cancer Treatment ◽

Knowledge Base ◽

Support System ◽

Breast Cancer Treatment ◽

System Model

Download Full-text