Development of an ENSO-based irrigation decision support tool for peanut production in the southeastern US

J. O. Paz, C. W. Fraisse, L. U. Hatch, Axel Garcia y Garcia, L. C. Guerra, O. Uryasev, J. G. Bellow, J. W. Jones, G. Hoogenboom

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Available climate information can be used by growers to assess different scenarios and alternative management strategies. An irrigation decision support tool for peanut production was developed to provide probability distributions of the seasonal cost to irrigate peanuts under different El Niño-Southern Oscillation (ENSO) forecasts. Yields were simulated for both irrigated and rainfed peanuts using the CSM-CROPGRO-Peanut model. The tool was used to examine the effects of different planting dates, soil types, and climate forecasts. Results of a case study are presented for the Georgia Green variety grown in Miller County, Georgia. The probability of obtaining a high net return under irrigated conditions increased when planting dates were delayed for El Niño years. Dryland peanut production was profitable in a La Niña year if peanuts were planted between mid-April and early May. The peanut irrigation decision support tool will be deployed as a web-based tool on the AgClimate web site (www.agclimate.org).

Original languageEnglish (US)
Pages (from-to)28-35
Number of pages8
JournalComputers and Electronics in Agriculture
Volume55
Issue number1
DOIs
StatePublished - Jan 2007

Keywords

  • Climate variability
  • Decision support system
  • El Niño
  • La Niña
  • Peanut irrigation
  • Southeast Climate Consortium

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