Boyer, Christopher N.

By: Tang, Minfeng ; Thompson, Nathanael ; Boyer, Christopher N. ; Olynk Widmar, Nicole J. ; Stewart, Terry S. ; Lofgren, Donna L. ; Minton, Nick
Past attempts to price bull attributes have relied on static marginal valuations due to cross-sectional data limitations. This analysis investigates whether bull buyersÕ marginal valuations of Angus bull attributes have changed over time using 17 years of bull auction data from Indiana. Results indicate statistically significant time effects on some traits (e.g., ribeye area, percentage intermuscular fat, ribeye-area expected progeny difference [EPD], and maternal-milk EPD). Not all of these effects align with prior expectations. Nonetheless, results have important implications for the beef industry in terms of signaling quality ques and incorporating proven information in the form of EPDs.
By: Boyer, Christopher N.; Griffith, Andrew P.; DeLong, Karen L.
We determined how reproductive failure impacts the long-term profitability of beef cows in spring- and fall-calving herds. Simulation models were established to generate distributions of net present value, payback periods, and breakeven prices of calves when a dam fails to wean zero, one, or two calves over her life. Results indicate that giving a dam another calving opportunity after failing to wean a calf would likely result in her being unprofitable. A producer would be better off selling the open dam than giving her another chance to breed. This illustrates the value in selecting replacement heifers based on fertility.
By: Harmon, Xavier; Boyer, Christopher N.; Lambert, Dayton M.; Larson, James A.; Gwathmey, C. Owen
We determined the value of soil test information for potassium (K) in upland cotton production using the linear response plateau (LRP) and linear response stochastic plateau (LRSP) functions. A stochastic dynamic programming model was used to determine the net present value to K fertilizer when optimal K was applied with knowledge about K carryover. Using K carryover information for K application decisions increased net present value and helped maintain steady levels of soil K. The LRSP function fit the data better than the LRP, and the value of soil testing was $27 ha-1 lower over ten years using the LRSP.
By: Boyer, Christopher N.; Lambert, Dayton M.; Velandia, Margarita; English, Burton C.; Robert, Roland K.; Larson, James A.; Larkin, Sherry L.; Paudel, Krishna P.; Reeves, Jeanne M.
Factors influencing adoption of variable-rate nutrient management (VRM) and georeferenced precision soil sampling (PSS) for fertilizer management among cotton producers and the factors affecting awareness of and participation in cost-share programs encouraging the adoption of nutrient-management practices were analyzed using multivariate probit regression with sample selection. Data were collected from a fourteen-state cotton producer survey. Factors including farm size, operator age, and farm location were correlated with the adoption of VRM and PSS, awareness of cost-sharing programs, and program participation. The results may help agencies target farms with the specific attributes most likely to participate in cost-share programs.