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

doi:10.1016/j.compag.2006.11.003

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

Southwest Research and Outreach Center

Research output: Contribution to journal › Article › peer-review

44 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 language	English (US)
Pages (from-to)	28-35
Number of pages	8
Journal	Computers and Electronics in Agriculture
Volume	55
Issue number	1
DOIs	https://doi.org/10.1016/j.compag.2006.11.003
State	Published - Jan 2007

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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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 Ni{\~n}o-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 Ni{\~n}o years. Dryland peanut production was profitable in a La Ni{\~n}a 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).",

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AU - Fraisse, C. W.

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AU - Garcia y Garcia, Axel

AU - Guerra, L. C.

AU - Uryasev, O.

AU - Bellow, J. G.

AU - Jones, J. W.

AU - Hoogenboom, G.

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AB - 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).

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KW - Peanut irrigation

KW - Southeast Climate Consortium

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

Abstract

Keywords

UN SDGs

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