Rainfall variability greatly influences corn production. Thus, an accurate forecast is potentially of value to the farmers because it could help them decide whether to grow their corn now or to delay it for the next cropping opportunity. A decision tree analysis was applied in estimating the value of seasonal climate forecast (SCF) information for corn farmers in Isabela.

The study aims to estimate the value of SCF to agricultural decisionmakers under climate uncertainty. Historical climatic data of Isabela from 1951 to 2006 from PAGASA and crop management practices of farmers were used in the Decision Support System for Agrotechnology Transfer (DSSAT) to test the potential impact of climate change on corn. The approach is developed for a more accurate SCF and to be able to simulate corn yields for wet and dry seasons under different climatic conditions. While SCF may potentially affect a number of decisions including crop management practices, fertilizer inputs, and variety selection, the focus of the study was on the effect of climate on corn production. Improving SCF will enhance rainfed corn farmers’ decisionmaking capacity to minimize losses brought about by variable climate conditions.

Download Info

To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

Publisher Info

Paper provided by Philippine Institute for Development Studies in its series Discussion Papers with number DP 2009-05.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 31
Date of creation: 2009
Date of revision:
Handle: RePEc:phd:dpaper:dp_2009-05

Contact details of provider:
Postal: NEDA sa Makati Building, 106 Amorsolo St., Legaspi Village, Makati City,
Email:
Web page: http://www.pids.gov.ph/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Aniceto Orbeta).

Related research

Keywords: seasonal climate forecast (SCF); decision tree analysis; climate uncertainty; Decision Support System for Agrotechnology Transfer (DSSAT);

This paper has been announced in the following NEP Reports:

• NEP-AGR-2009-04-18 (Agricultural Economics)
• NEP-ALL-2009-04-18 (All new papers)
• NEP-ENE-2009-04-18 (Energy Economics)
• NEP-ENV-2009-04-18 (Environmental Economics)
• NEP-FOR-2009-04-18 (Forecasting)

Did you know? You too can volunteer for RePEc, for example by encouraging others to register as authors.

This page was last updated on 2009-12-18.