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Bioeconomic modeling of livestock production, rangeland management and forage systems in a dynamic context

dc.contributor.authorRitten, John Patrick, author
dc.contributor.authorFrasier, W. Marshall, advisor
dc.date.accessioned2024-03-13T20:12:32Z
dc.date.available2024-03-13T20:12:32Z
dc.date.issued2008
dc.description.abstractThis work focuses on optimal livestock management in a dynamic framework. The first essay utilizes linear programming to analyze proper herd management during periods of drought. It also examines the use of summer hay as an option to alleviate the negative impacts of drought on cattle producers. Findings show that while financial returns are greatly impacted by varying cattle prices, optimal management decisions are driven more by weather changes than price changes. Further analysis shows that although allowing summer feed improves long term returns to producers, the main benefit of such a strategy is the ability to carry increased inventories though drought, with the increased returns coming post-drought. The second essay utilizes dynamic programming to determine proper stocking rates when future forage production is related to current use of rangelands. The model maximizes the Bellman Equation using a Chebychev interpolation process. Results show that profit maximizing producers will leave just over half of total production as standing forage. Further analysis shows that while returns are impacted by both cattle and corn prices, optimal management decisions do not change with changes in either of these. Stocking decisions are mainly driven by animal efficiency and land productivity. The third essay adds the element of stochastic weather to the model utilized in the second essay. Specific attention is given to how producers make stocking decisions in the face of random weather events. Again, producers leave just over half of carrying capacity as standing forage when acting optimally. However, if growing season precipitation is unknown at the time the stocking decision is made actual standing forage may vary from this desired outcome, resulting in a decrease in future stocking rates. It is shown that a producer with knowledge of growing season precipitation will be more profitable than a producer without this knowledge on average by 21%. Again, stocking decisions are mainly driven by land productivity and animal efficiency as well as whether or not a producer has knowledge of current year precipitation.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierETDF_Ritten_2008_3332702.pdf
dc.identifier.urihttps://hdl.handle.net/10217/237926
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.rights.licensePer the terms of a contractual agreement, all use of this item is limited to the non-commercial use of Colorado State University and its authorized users.
dc.subjectbioeconomic
dc.subjectdynamic programming
dc.subjectforage systems
dc.subjectgrazing management
dc.subjectlivestock
dc.subjectrangeland management
dc.subjectrange management
dc.titleBioeconomic modeling of livestock production, rangeland management and forage systems in a dynamic context
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineAgricultural and Resource Economics
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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