About Us | Help Videos | Contact Us | Subscriptions
 

Abstract

 

This article in AJ

  1. Vol. 87 No. 6, p. 1093-1099
     
    Received: July 27, 1994


    * Corresponding author(s): holgerm@apsrusg.sth.dpi.qld.gov.au
 View
 Download
 Alerts
 Permissions
Request Permissions
 Share

doi:10.2134/agronj1995.00021962008700060010x

A Peanut Simulation Model: II. Assessing Regional Production Potential

  1. Holger Meinke  and
  2. Graeme L. Hammer
  1. DPI/CSIRO Agric. Prod. Systems Res. Unit, P.O. Box 102, Toowoomba, QLD 4350, Australia

Abstract

Abstract

An assessment of production potential over a broad geographical region is useful in industry planning. In this study, we present a method for combining crop simulation with spatial analysis to assess regional production potential. The Australian peanut industry, and its plan to expand production to new areas, is used as a case study to demonstrate the method. Using a peanut simulation model and historical climate records, irrigated potential peanut yields were simulated for a range of sowing dates at 53 locations throughout eastern Australia. The simulated median potential yield and feasible planting period at each location were used in a spatial interpolation routine to generate maps of regional production potential. The results were consistent with industry experience in traditional production areas and highlighted new areas with good potential for irrigated production. The analysis also showed the change in feasible planting period and optimal sowing date throughout the broad geographical region covered. The analysis considered only temperature and radiation effects on potential production. Other factors, such as disease incidence and water availability, must be considered in conjunction with these results when using them for industry planning. However, the methodology presented demonstrates how combining simulation analysis with simple spatial analysis can provide useful information to support industry planning.

Contribution from the Agricultural Production Systems Res. Unit, Queensland Dep. of Primary Industries and the Commonwealth Scientific and Industrial Res. Org., P.O. Box 102, Toowoomba, QLD 4350, Australia.

  Please view the pdf by using the Full Text (PDF) link under 'View' to the left.

Copyright © .