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Please use this identifier to cite or link to this item: http://purl.umn.edu/43792

Title: Whole-Farm Evaluation of No-Till Profitability in Rice Production using Mixed Integer Programming
Authors: Watkins, K. Bradley
Hill, Jason L.
Anders, Merle M.
Windham, Tony E.
Keywords: conventional till
economies of size
machinery complements
mixed integer programming
no-till
rice
soybean
whole-farm net returns
JEL Codes: Q12
Q15
Q16
Q24
Q25
Issue Date: 2006-12
Abstract: Rice production in Arkansas usually involves intensive tillage. No-till rice has been studied, but the focus has been limited to impacts on yields and per acre returns. This study uses mixed integer programming to model optimal machinery selection and evaluate whole-farm profitability of no-till management, for rice-soybean farms. Results indicate that lower machinery ownership expenses combined with lower fuel and labor expenses do enhance the profitability of no-till management, but the monetary gains appear to be modest, implying that other incentives may be necessary to entice producers to use the practice.
URI: http://purl.umn.edu/43792
Institution/Association: Journal of Agricultural and Applied Economics>Volume 38, Number 03, December 2006
Total Pages: 17
From Page: 611
To Page: 627
Collections:Volume 38, Number 03, December 2006

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