1,721,071 research outputs found
Cost and timeliness of alternative nitrogen application methods
Full text linkProduction, in terms of revenue and cost for well-drained farms in the Midwest, is a function of amongst other things, climatic variability. In the current situation of low commodity prices, producers often focus on ways in which they can modify their practices to maximize profits. With nitrogen being the single most important macronutrient for corn production in the Midwest, the timing of application has several implications both financially and environmentally. Regulation of fall-applied nitrogen is a timely issue to address. There has been an increase in technology to be able to apply nutrients closer to crop utilization but there is an impending question of how all planned nitrogen application will be accomplished in a policy and weather constrained system. This thesis develops cost analysis for nitrogen application completion given workday probabilities and machinery specifications. Improving nitrogen use efficiency has been the goal of many while adaptation of new technology has been slow. This paper seeks to provide insight into the decision-making process that goes along with nitrogen application which includes costs and probability of completion.Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-09-29 without embargo termsThe student, Shawn Kinkade, accepted the attached license on 2017-06-15 at 10:56.The student, Shawn Kinkade, submitted this Thesis for approval on 2017-06-15 at 11:01.This Thesis was approved for publication on 2017-06-16 at 12:45.DSpace SAF Submission Ingestion Package generated from Vireo submission #11226 on 2017-09-29 at 11:26:42Made available in DSpace on 2017-09-29T16:37:57Z (GMT). No. of bitstreams: 2
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LICENSE.txt: 4210 bytes, checksum: e841f13b9390070bc219afc93494df99 (MD5)
Previous issue date: 2017-06-1
Evaluating the potential for plant-based meat to capture the U.S. meat market
Full text linkThis thesis describes factors influencing the meatless meat industry’s potential to expand, and it estimates the U.S. beef market’s response to competition from plant-based meat products. The first part of the analysis provides an overview of the meatless meat industry and outlines factors that influence the new industry’s potential to capture market from the U.S. livestock industry. These factors include consumer sensory acceptance of and willingness to pay for meatless meat products, technical feasibility of producing the products at scale, the economic feasibility of pricing them competitively with meat, and how the U.S. livestock market and U.S. agriculture lobbyists will respond to the new competition. Next, the analysis provides an empirical analysis of one of these factors – the U.S. livestock market’s response to competition from plant-based meat, using an examination of how competition between plant-based meat and ground beef would affect the entire beef market. The analysis estimates price changes for ground beef, fed steer, and choice and select beef markets using price elasticities and historic beef price data from 2013-2019. Joint-product theory and an OLS regression of historic beef prices indicate that these beef markets are linked, so plant-based meat’s competition with ground beef will affect supply and prices in the fed steer and choice/select markets. Beef price estimates are calculated for different scenarios in which plant-based meat captures 5% to 25% of the ground beef market. It is estimated that ground beef prices will drop 2.10% to 4.00% if plant-based meat takes 5% of its market, and its price elasticity of supply and demand would be -1.25 in the new market equilibrium.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-08-01The student, Margaret Cornelius, accepted the attached license on 2021-07-13 at 16:18.The student, Margaret Cornelius, submitted this Thesis for approval on 2021-07-13 at 16:33.This Thesis was approved for publication on 2021-07-15 at 12:11.DSpace SAF Submission Ingestion Package generated from Vireo submission #16918 on 2022-01-12 at 12:54:58Made available in DSpace on 2022-01-12T22:35:14Z (GMT). No. of bitstreams: 2
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Previous issue date: 2021-07-15Embargo set by: Seth Robbins for item 121117
Lift date: 2024-01-12T22:35:30Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl
Marketing and crop insurance: a portfolio approach to risk management for Illinois corn and soybean producers
No full textLittle research has focused on understanding how crop insurance and preharvest pricing interact so as to reduce risk or increase returns more than either if used separately. Farm-level historical simulations from 1976 through 2008 were used to analyze several marketing strategies that use both preharvest pricing and revenue based crop insurance products for corn and soybean producers in four regions of Illinois. Results indicate preharvest pricing and revenue based crop insurance, when used together, can significantly reduce risk, and in some cases increase returns. Results also indicate mechanical (passive) preharvest pricing strategies outperform dynamic (active) preharvest pricing strategies by decreasing risk and in some cases increasing returns.Item withdrawn by Mark Zulauf ([email protected]) on 2010-06-28T18:34:05Z
Item was in collections:
University of Illinois Theses & Dissertations (ID: 1)
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Schaffer_Brooks.pdf: 1158985 bytes, checksum: 9cd764112eeb279b96e294b89095fdb0 (MD5)Made available in DSpace on 2010-08-20T17:59:51Z (GMT). No. of bitstreams: 2
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Ex-ante analysis of corn and soybean revenue in Illinois with crop insurance and government payment programs
No full textThis study analyzes how ex-ante returns and risk have changed over time while using crop insurance and government payment programs. Historical simulations are constructed from 1989 to 2010 for corn and soybean producers in McLean County, Illinois, to measure the impact of crop insurance and government payments annually. Results indicate that corn and soybeans producers are exposed to less downside price risk with crop insurance and government payments after 2007. In addition, after 1996 for corn and 1999 for soybean expected revenue performs significantly better with government payments and crop insurance rather than without.Item withdrawn by Rebecca Bryant ([email protected]) on 2011-12-01T20:11:04Z
Item was in collections:
University of Illinois Theses & Dissertations (ID: 1)
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Kramer_Clayton.pdf: 1217747 bytes, checksum: 084c8bc04a7722ce9d1bcf89b55e762a (MD5)Made available in DSpace on 2012-02-06T20:11:51Z (GMT). No. of bitstreams: 2
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Farmers' expectations of yield differences between triple-stack and conventional corn hybrids
No full textIn 1996, genetically modified corn was commercially available for the first time. Since then, seed technology companies have introduced new genetically modified hybrids, including ―stacked trait hybrids‖ containing multiple traits. Adoption rates of the genetically modified seed increased for several years and the technology is now widely accepted in the United States.
Willingness to adopt a new technology is based on the belief that it is an improvement over current practices. Seemingly, a triple-stack corn hybrid (a hybrid containing three genes) should provide a higher net return than a hybrid with fewer genetic traits. Dramatic farmer adoption rates of triple-stack corn hybrids could suggest that farmers believe that the added traits will improve hybrid performance. On the other hand, farmers must also choose seed from the selection available, consisting mostly of hybrids with a triple-stack trait package.
Previous studies comparing transgenic yields to non-transgenic yield have mixed results. However, the literature reviewed suggests that farmers believe that there is a yield advantage associated with triple-stack corn hybrids. Therefore, the hypothesis is developed that farmers‘ subjective estimates of triple-stack corn yields will be above the yields found in the objective data. Three goals are set to test this hypothesis: 1) determine the effect that traits in hybrids have on corn yields, specifically the effect of triple-stack traits on corn yields; 2) determine what farmer perceptions of triple-stack hybrid yields are; and 3) compare the triple-stack objective yield data to farmer perceptions.
The objective data are from the University of Illinois corn hybrid test trials from 2004-2008. Hybrids are assessed based on the traits present and regression models are used to test for statistical differences in yields between hybrids with varying traits. Personal interviews conducted with eight farmers located across Illinois in August, 2009, and a survey distributed to 65 Farm Business Farm Management Association cooperators in September, 2009, are used as proxies for farmer perception; the results from both are used as subjective data in the study.
The objective yield data shows that the traits for corn borer resistance and root worm resistance both significantly increase yield by approximately 2 and 4 bushels per acre, respectively. A trait for herbicide tolerance was not found to make a significant difference in yield. Triple-stack hybrids, containing all three traits, have a yield advantage of 6-7 bushels per acre. In the interviews, farmers indicated a value in triple-stack corn hybrids, but much of that value is due to advantages other than yield. Farmers who pinpointed a range for triple-stack yield advantage over refuge hybrids, selected ranges beginning at 7 bushels per acre and going up to 15 bushels per acre. Based on weighted averages of the responses from farmers who selected a specific range in the survey, the farmers who plant triple-stack hybrids believe triple-stack yields are 9.45 bushels per acre higher than refuge and the farmers who do not plant triple-stack hybrids believe triple-stack hybrids yield 5.87 bushels per acre higher than refuge.
A conclusion is reached that farmers‘ yield assessments are fairly accurate. Farmers that plant triple-stack hybrids perceive a triple-stack yield advantage that is slightly higher than the value found in the objective data, although some did not provide a specific range. Interestingly, 23% of farmers planting triple-stack hybrids believe triple-stack and refuge yields are the same.Item withdrawn by Mark Zulauf ([email protected]) on 2009-12-01T19:33:13Z
Item was in collections:
University of Illinois Theses & Dissertations (ID: 1)
No. of bitstreams: 2
Ubbenga_Krista.pdf: 1894654 bytes, checksum: 66b12f7d42adb880aa357567b672a4eb (MD5)
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Ubbenga_Krista.pdf: 1894654 bytes, checksum: 66b12f7d42adb880aa357567b672a4eb (MD5)
Ubbenga_Krista.docx: 1028414 bytes, checksum: 4d542d7713bd0876d1d4d1fa0b70c70f (MD5)Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by William Ingram ([email protected]) on 2010-01-06T16:42:22Z
Item is restricted until 2012-01-06T16:42:19ZItem reinstated by Sarah Shreeves ([email protected]) on 2012-01-07T11:00:09Z
Item was in collections:
University of Illinois Dissertations and Theses (ID: 204)
Theses - Agricutural and Consumer Economics (ID: 651)
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Ubbenga_Krista.pdf: 1894654 bytes, checksum: 66b12f7d42adb880aa357567b672a4eb (MD5)
Ubbenga_Krista.docx: 1028414 bytes, checksum: 4d542d7713bd0876d1d4d1fa0b70c70f (MD5)Item released from any restrictions by Sarah Shreeves ([email protected]) on 2012-01-07T11:00:10
The effects of financial structure on the profitability of Illinois agriculture
No full textUsing data from the Illinois Farm Business Farm Management, this study analyzes how financial structure impacts the profitability of grain and livestock farms in Illinois from 1996 to 2009. Various datasets were assembled to sort farms into pure grain farms, and then sub-sample datasets for the periods 1998-2000, 2002-2004, and 2007-2009. After filtering the data with certain criteria, three models were constructed to measure three types of profitability for pure grain farms. These models show there is statistical evidence to suggest that the debt-to-asset ratio, farm size, land tenure, and equipment costs have an impact on explaining the profitability levels of production agricultural entities. The three models are then used to contrast the statistical significance of the specific variables, which are used to derive the profitability measures.Item withdrawn by Rebecca Bryant ([email protected]) on 2011-04-20T16:02:00Z
Item was in collections:
University of Illinois Theses & Dissertations (ID: 1)
No. of bitstreams: 2
KernPostDepartmental Review Copy4-18-11.docx: 673630 bytes, checksum: f5587941be1ffcf794fb11be0b803604 (MD5)
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Returns to farm real estate: analysis of an Illinois farmland portfolio
No full textPrevious research on returns to farmland derived data from aggregate U.S. or regional sources. A distinction of this document is that an actual portfolio of Illinois farms are evaluated. This thesis extends past research by analyzing a longer and more current period. The results suggest that Illinois farmland pays a substantial premium above what is required for systematic risk and that its returns are negatively correlated to most major asset classes. Illinois farmland adds very little risk to a well-diversified portfolio and is a hedge against inflation.Item withdrawn by Mark Zulauf ([email protected]) on 2010-04-26T19:21:57Z
Item was in collections:
University of Illinois Theses & Dissertations (ID: 1)
No. of bitstreams: 1
Noland_Kevin.pdf: 1233251 bytes, checksum: 0a2949371e945cc132f9e240a3ce40f8 (MD5)Made available in DSpace on 2010-05-18T18:53:28Z (GMT). No. of bitstreams: 2
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license.txt: 4061 bytes, checksum: 65f7522300ab3ba7b9c64d2e1bfa6843 (MD5)Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by William Ingram ([email protected]) on 2010-05-18T18:54:50Z
Item is restricted until 2012-05-18T18:54:47ZItem reinstated by Sarah Shreeves ([email protected]) on 2012-05-19T10:00:14Z
Item was in collections:
University of Illinois Dissertations and Theses (ID: 204)
Dissertations - Agricultural and Consumer Economics (ID: 652)
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license.txt: 4061 bytes, checksum: 65f7522300ab3ba7b9c64d2e1bfa6843 (MD5)Item released from any restrictions by Sarah Shreeves ([email protected]) on 2012-05-19T10:00:14
Future growth in global meat consumption: three income scenarios
Full text linkSubmission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01The student, Gretchen Kuck, accepted the attached license on 2022-04-21 at 08:45.The student, Gretchen Kuck, submitted this Thesis for approval on 2022-04-21 at 08:50.This Thesis was approved for publication on 2022-04-27 at 16:54.DSpace SAF Submission Ingestion Package generated from Vireo submission #17873 on 2022-11-11 at 12:57:59Meat has played an increasingly important role in both the human diet and the agricultural economy over time. As it stands the global population is currently eating more beef, pork, and chicken than ever, which begs the question: can (will) consumption go up from here? This thesis models the impacts of different plausible income scenarios on future meat consumption at the global scale in context of the idea that income drives increased meat consumption until a point of saturation. Several far-reaching economic events have occurred in the past two decades, necessitating an updated understanding of the relationship between income and consumption growth. The analysis is concerned with several questions that will impact stakeholders over the next period of consumption: how much meat will be consumed by the global system, the division of the three different meat types among this total volume, and the geographical distribution and implications of expected future growth. To answer these questions, income elasticities for beef, pork, and chicken are estimated using historical price, income, and consumption data for a set of 26 countries.
Applying several different hypothetical income scenarios to the model, the resulting meat consumption projections increase understanding of the role that economic forces play in shaping global meat demand in a modern, globalized food system. The testing of different scenarios confirms that while the majority of meat consumption by volume occurs in large higher-income countries, most future consumption growth will come from middle-income countries. However, because the model finds that meat consumption income elasticities are higher at lower incomes (particularly for chicken and beef), the scenario testing is clear that negative economic events will have a larger downward effect on global meat consumption than future increases in income will have a positive effect
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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