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August 9, 2012
drought has magnified cattle market impact compared to 2011 … Cow C-P-66 08/02/12 Livestock Marketing Information Center Data … Cow C-P-66 03/21/12Livestock Marketing Information Center Data Source …
August 20, 2012
drought magnified cattle market impact compared to 2011 … Cow C-P-66 08/09/12Livestock Marketing Information Center Data … Cow C-P-66 03/21/12Livestock Marketing Information Center Data Source …
June 21, 2022
5/27/22) Data Source: Livestock Marketing Information Center % Chg … 5/27/22) Data Source: Livestock Marketing Information Center Live … Source: USDA-NASS Livestock Marketing Information Center 60 70 80 90 100 110 120 130 140 0 …
January 11, 2021 Feeder Cattle Pricing
Agricultural Economics Extension Publication 01/10/2021 … a position in the futures market, selling (buying) the CME … to sell (buy) in the cash market at a later date. In doing …
November 1, 2012 Animal Well-Being
Beef Cattle Institute (Publication: November 2012) Page 2 … Beef Cattle Institute (Publication: November 2012) Page 3 … from the USDA Federal- State Marketing Improvement Program …
August 28, 2015 Financial Management
ersity Department Of Agricultural Economics Extension Publication 08/28/2015                           WRITTEN BY: NICOLAS E. QUINTANA‐ASHWELL …                       1 Highlights prepared from research paper: Quintana‐Ashwell, Nicolas E., and Allen M. Featherstone. "Beyond benchmarks:  DEA study of Kansas Farm Productivity." 2015 Annual Meeting, January 31‐February 3, 2015, Atlanta, Georgia. No. 196857.  Southern Agricultural Economics Association, 2014.                         Kansas State University Department Of Agricultural Economics Extension Publication 08/28/2015                           WRITTEN BY: NICOLAS E. QUINTANA‐ASHWELL …
August 28, 2015 KFMA Research
ersity Department Of Agricultural Economics Extension Publication 08/28/2015                           WRITTEN BY: NICOLAS E. QUINTANA‐ASHWELL …                       1 Highlights prepared from research paper: Quintana‐Ashwell, Nicolas E., and Allen M. Featherstone. "Beyond benchmarks:  DEA study of Kansas Farm Productivity." 2015 Annual Meeting, January 31‐February 3, 2015, Atlanta, Georgia. No. 196857.  Southern Agricultural Economics Association, 2014.                         Kansas State University Department Of Agricultural Economics Extension Publication 08/28/2015                           WRITTEN BY: NICOLAS E. QUINTANA‐ASHWELL …
December 1, 2016 KFMA Research
Agricultural Economics Extension Publication 12/01/2016 … Agricultural Economics Extension Publication 12/01/2016 … Agricultural Economics Extension Publication 12/01/2016 …
September 26, 2017 Precision Ag and Technology Articles
ersity Department Of Agricultural Economics Extension Publication 09/26/2017             …                                                                                                                                                     1  Who Can Own Farm Data?     Terry Griffin (twgriffin@ksu.edu)   Kansas State University Department of Agricultural Economics ‐ September 2017      In the previous article, the notion that farm data aggregated into a community truly fit the concept of  ‘big data’ was demonstrated. For many agriculturists, the more important issue is data ownership. The  question of who owns farm data goes back at least to the advent of precision agriculture in the 1990s.  Data ownership, privacy, and security have cyclically been hot topics since then but have recently  peaked with ‘big data’. When discussing ownership of physical goods such as commodities, machinery,  and farmland, it is intuitive what ‘ownership’ means. Farm data does not fit many preconceived  notions of ‘ownership’ like these physical examples.     The legal perspective of farm data ownership has been addressed individually by Extension agricultural  attorneys including Tiffany Dowell and Shannon Ferrell and at least one attorney in private practice, Todd  Janzen. Complementing their work, I describe how economic principles apply to farm data that are  digital and have very different characteristics than physical goods. Copies of digital data can be made  at relatively zero cost and are indistinguishable from the original. Given that copies are identical to  each other and the original, very minimal control exists over what happens to that data once copies  have been made available to another party. Multiple entities (e.g. farmers, landowners, input  suppliers, soil sampling services, aggregators, lenders, etc.) may have partial access to viable copies of  the same farm data.    Applying the economic principles of public goods versus private good …
August 1, 2009 KFMA Newsletters
through probate is a matter of public record. Also in this … rally in the feeder cattle market through sometime between … Operator Labor and 3% Shrink Market animal (Includes 3% Shrink …