Potential Yield and Climate Change Sensitivity of Groundnut in Cagayan Valley Using Simulation Models

This study aimed to determine yield and production constraints of peanut inCagayan Valley using Decision Support System for Agrotechnology Transfer; analyze yieldgaps between simulated and actual yield, and provide decision support to optimizeproduction. Simulation results using CSM-CROPGRO sub-model of DSSAT showed thathighest potential yield is 2,267 kgs. / Hectare when planted in October 15 under rainfedcondition. Under non-stressed conditions in the dry season, the potential yield is 4,805 kgs./hectare planted in December 15. From 10 years of yield data, gap between farmer’s yieldcompared with rainfed potential ranges from 153 to 2,116 kgs./ hectare. Low rates ofnitrogen application and pests and diseases were the factors causing yield gaps. The DSSATprogram also captured the effect of prolonged drought in the last quarter of 2009 whichresulted to underestimated yield, and the effect of warm weather in 2004 which showedlowering of potential yield by 50%. Regional analysis of peanut yields showed that centraleastern part is more productive for rainfed conditions during the dry season; whereassouthern part including Quirino and Ifugao is more suitable to producing peanut during thewet season due to cooler temperature.Keywords: Agriculture, groundnut, potential and actual yield, simulation, climate change,Decision Support System for Agrotechnology Transfer, Philippines

Download Full-text

A User-centered Decision Support System for Climate Change Adaptation Planning

Journal of Climate Change Research ◽

10.15531/ksccr.2020.11.6.657 ◽

2020 ◽

Vol 11 (6-1) ◽

pp. 657-667

Author(s):

Jung Hee Hyun ◽

Ji Yeon Kim ◽

Dong Kun Lee ◽

Ju Young Huh ◽

Chae Young Bae ◽

...

Keyword(s):

Climate Change ◽

Decision Support ◽

Decision Support System ◽

Climate Change Adaptation ◽

Support System ◽

Adaptation Planning ◽

User Centered

Download Full-text

Prediction Reliability of Container Terminal Simulation Models

Service Science and Logistics Informatics - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-61520-603-2.ch017 ◽

2010 ◽

pp. 315-335

Author(s):

Armando Cartenì

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Optimization Problem ◽

Container Terminal ◽

Simulation Models ◽

Large Set ◽

Model Application ◽

Before And After ◽

Prediction Reliability

In this chapter attention is focused on the container terminal optimization problem, given that today most international cargo is transported through seaports and on containerized vessels. In this context, in order to manage a container terminal it is sometimes necessary to develop a Decision Support System (DSS). This chapter investigated the prediction reliability of container terminal simulation models (DSS), through a before and after analysis, taking advantage of some significant investment made by the Salerno Container Terminal (Italy) between 2003 and 2008. In particular, disaggregate and an aggregate simulation models implemented in 2003 were validated with a large set of data acquired in 2008 after some structural and functional terminal modifications. Through this analysis it was possible to study both the mathematical details required for model application and the field of application (prediction reliability) of the different simulation approaches implemented.

Download Full-text