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| Hennessy, David A.. |
| Feeder animal prices depend on fed animal prices, the biological growth technology, and feed costs. In addition, daily maintenance costs can be avoided through accelerated feeding. These observations allow us to model optimal feeding under equilibrium feeder animal pricing. Our model enables a better understanding of regulation in feedstuff markets. The feeder animal price-weight schedule is likely decreasing and convex in weight. Prices for animals with better growth potential should be less sensitive to feed and fed animal prices. Prices for lighter animals should be more sensitive to these prices. Regression analyses on Southern Great Plains cattle prices provide support for this model. |
| Tipo: Journal Article |
Palavras-chave: Days on feed; Energy use; Feed ban; Growth hormones; Kleiber's law; Ration density; Veal market; Livestock Production/Industries. |
| Ano: 2006 |
URL: http://purl.umn.edu/8609 |
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| Lusk, Jayson L.. |
| Recent research has identified genetic diversity in the ability of animals to manufacture and recognize leptin, a protein that regulated appetite and weight. This paper determines the economic value of using information on leptin genotype to select and manage beef cattle. Results reveal that the economic value of using genotypic information to sort cattle by optimal endpoint is only about $2/head for steers and $1/head for heifers; however, the value of using genotypic information to optimally select and feed only certain genotypes is $23/head for steers and $28/head for heifers. The difference in per head profit between the best and worst performing genotype is over $28 on the date the cattle were actually marketed and increases to $60 if each genotype is... |
| Tipo: Journal Article |
Palavras-chave: Cattle marketing; Days on feed; Genetics; Growth models; Leptin; Value of information; Livestock Production/Industries. |
| Ano: 2007 |
URL: http://purl.umn.edu/8641 |
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| Greer, Heather C.; Trapp, James N.. |
| 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... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Grid pricing; Profits; Animal growth; Logistic regression; Days on feed; Livestock Production/Industries; Marketing. |
| Ano: 2000 |
URL: http://purl.umn.edu/18926 |
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