Data/hora: 10/06/2024 11:08:10

Provedor de dados: 	31	
País: 	United States	
Título: 	IMPACT OF ALTERNATIVE GRID PRICING STRUCTURES ON CATTLE MARKETING DECISIONS	
Autores: 	Greer,   Heather C.; Trapp,   James N.	
Data: 	2000-05-22	
Ano: 	2000	
Palavras-chave: 	Grid pricing; Profits; Animal growth; Logistic regression; Days on feed; Livestock Production/Industries; Marketing.	
Resumo: 	Quality grade, yield grade, and other feedlot performance factors explain much of the variation in profit under grid pricing. Thus, feedlot owners can change profits by adjusting time on feed to influence these performance factors. This research uses growth models, logistic regression, and an optimization process to determine how the optimal number of days on feed changes under different grid pricing structures. It was found that large quality or small yield discounts increases the optimal number of days on feed and small quality or large yield discounts result in fewer days on feed. Losses associated with a grid having large quality discounts are minimized as cattle fed for more days are able to obtain Choice premiums despite the discounts for more Yield Grade 4 and 5 carcasses. Given small quality discounts, cattle fed for a shorter length of time can obtain the Yield Grade 1 and 2 premiums without a large loss in revenue due to grading Select or Standard. Under cash pricing, cattle are fed for very long periods because there are no discounts applied to the carcasses and, therefore, the more weight they gain, the more revenue they generate. During periods of low feed prices, cattle can be fed longer so more cattle grade Prime but also have more Yield Grade 4 and 5 cattle.	
Tipo: 	Conference Paper or Presentation	
Idioma: 	Inglês	
Identificador: 	2040

http://purl.umn.edu/18926	
Editor: 	AgEcon Search	
Relação: 	NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management&gt;2000 Conference, Chicago, IL, April 17-18 2000

2000 Conference, Chicago, IL, April 17-18 2000	
Formato: 	18

application/pdf