COTTON CULTIVAR, PLANTING, IRRIGATING, AND HARVESTING DECISIONS UNDER RISK

Producers in southwest Oklahoma lack adequate information about optimal planting decisions for cotton. This study uses a cotton growth simulation model to evaluate alternative cultivar, planting date, irrigation, and harvest choices. Effects of using information about soil moisture at reproduction and revenue loss at harvest in making cultivar and planting data decisions are evaluated. Using soil temperature information to plant at an early date produced high net revenue some years, but reduced mean net revenue and increased risk. Producers maximizing expected net revenue should plant a short-season cultivar in late May and use soil moisture information to schedule irrigation at reproduction.


Issue Date:
1997-07
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/31012
Published in:
Journal of Agricultural and Resource Economics, Volume 22, Number 1
Page range:
157-173
Total Pages:
17




 Record created 2017-04-01, last modified 2017-08-24

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