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	Provedor de dados AgEcon (3) Autor Anders, Merle M. (3) Hill, Jason L. (3) Watkins, K. Bradley (3) Windham, Tony E. (2) Palavra-chave Crop Production/Industries (2) Conventional till (1) Economies of size (1) Farm Management (1) Machinery complements (1) Mixed integer programming (1) No-till (1) Q12 (1) Q15 (1) Q16 (1) Q24 (1) Q25 (1) Rice (1) Soybean (1) Whole-farm net returns (1) Mais... Tipo do documento Conference Paper or Presentation (2) Journal Article (1) Ano 2008 (1) 2006 (1) 2005 (1) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última An Economic Risk Analysis of No-Till Rice Management from the Landlord’s Perspective AgEcon Watkins, K. Bradley; Hill, Jason L.; Anders, Merle M.. Rice production generally involves intensive cultivation. The profitability of no-till rice has been investigated but solely from the producer’s perspective. Most farmed cropland is owned by someone else. This study evaluates the risk efficiency of no-till rice from the landlord’s perspective using stochastic efficiency with respect to a function (SERF). Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries. Ano: 2008 URL: http://purl.umn.edu/6870 Whole Farm Economic Evaluation of No-Till Rice Production in Arkansas AgEcon Watkins, K. Bradley; Hill, Jason L.; Anders, Merle M.; Windham, Tony E.. Rice in Arkansas is typically produced using intensive tillage. No-till rice has been studied, but the research focus has been limited to impacts on yields and per acre net returns. This analysis evaluates the profitability of no-till rice at the whole-farm level using both enterprise budget analysis and linear programming. Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries. Ano: 2005 URL: http://purl.umn.edu/35523 Whole-Farm Evaluation of No-Till Profitability in Rice Production using Mixed Integer Programming AgEcon Watkins, K. Bradley; Hill, Jason L.; Anders, Merle M.; Windham, Tony E.. 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. Tipo: Journal Article Palavras-chave: Conventional till; Economies of size; Machinery complements; Mixed integer programming; No-till; Rice; Soybean; Whole-farm net returns; Farm Management; Q12; Q15; Q16; Q24; Q25. Ano: 2006 URL: http://purl.umn.edu/43792 Registros recuperados: 3 Primeira ... 1 ... Última

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