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ON ECONOMIC-MATHEMATICAL MODEL FOR TECHNOLOGY OF DIFFERENTIATED APPLICATION OF FERTILIZERS AgEcon
Litchman, Gennadiy; Nukeshev, Sayahat.
The paper studies agricultural crops’ yield depending on quality of entering of mineral fertilizers. It is established that determining average productivity, under square-law dependence of yield on a dose, there is not necessity to set the law of fertilizers distribution across the field and will be sufficient to know expected value D and standard deviation sD. The paper considers approaches to economic-mathematical model of optimization of fertilizers’ doses at the differentiated entering. The produced result provides a new approach to the quality control in technological process of fertilizers application. Also, it allows formulating requirements to perspective technical means used for entering of mineral fertilizers.
Tipo: Journal Article Palavras-chave: Soil fertility; Mineral fertilizers; Crop yield; Response function; Agribusiness.
Ano: 2009 URL: http://purl.umn.edu/94557
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Optimal Stocking Density for Dual-Purpose Winter Wheat Production AgEcon
Kaitibie, Simeon; Epplin, Francis M.; Brorsen, B. Wade; Horn, Gerald W.; Krenzer, Eugene G., Jr.; Paisley, Steven I..
Dual-purpose winter wheat production is an important economic enterprise in the southern Great Plains of the United States. Because of the complex interactions involved in producing wheat grain and beef gain from a single crop, stocking density is an important decision. The objective of the research is to determine the stocking density that maximizes expected net returns from dual-purpose winter wheat production. Statistical tests rejected a conventional linear-response plateau function in favor of a linear-response stochastic plateau function. The optimal stocking density of 1.48 steers/ha (0.60 steers/acre) is 19% greater with a stochastic than with a nonstochastic plateau.
Tipo: Journal Article Palavras-chave: Dual purpose; Response function; Stochastic plateau; Stocking density; Wheat; R32; Q12; C29; D21.
Ano: 2003 URL: http://purl.umn.edu/37313
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