English, Burton C.

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.
By: Lambert, Dayton M.; English, Burton C.; Harper, David C.; Larkin, Sherry L.; Larson, James A.; Mooney, Daniel F.; Roberts, Roland K.; Velandia, Margarita; Reeves, Jeanne M.
A 2009 survey of cotton farmers in twelve states collected information about the use of georeferenced precision soil testing (PST). Adoption of PST technology and the interval until retesting were examined with a Poisson hurdle regression. Survey data were calibrated using a post-stratification weighting protocol. Farming experience, farm size, land ownership, variable rate fertilizer management plans, and the use of soil electrical conductivity devices were correlated the with period until PST adopters retested soil. Understanding how producers perceive the useful life of soil-test information may be important for monitoring the effectiveness of best nutrient management practice adoption.
By: Stewart, Lance A.; Lambert, Dayton M.; Wilcox, Michael D.; English, Burton C.
Industry cluster identification methods determine linkages between purchasers and suppliers at the county level for 447 economic sectors in Tennessee. Using an econometric model, the cluster analysis is extended to estimate which value chains contributed to economic growth between 2001 and 2006. Businesses making up the agriculture and forestry clusters enjoyed increased output per job in 34% and 32%, respectively, of Tennessee's counties. The spatial pattern of these findings was significant, suggesting that some counties may benefit from regional coordination of projects designed to enhance or retain businesses in these industry clusters.
By: Walton, Jonathan C.; Lambert, Dayton M.; Roberts, Roland K.; Larson, James A.; English, Burton C.; Larkin, Sherry L.; Martin, Steven W.; Marra, Michele C.; Paxton, Kenneth W.; Reeves, Jeanne M.
Adoption of precision agriculture technology has arrived considerable attention, but abandonment has received little. This paper identified factors motivating adoption and abandonment of precision soils sampling in cotton. Younger producers who farmed more cotton area, owned more of their cropland, planted more non-cotton area, or used a computer were more likely to adopt precision soil sampling. Those with more cotton area or who owned livestock were more likely to abandon, while those who used precision soil sampling longer, or used variable-rate fertilizer application were less likely to abandon precision soil sampling.
By: Roberts, Roland K.; English, Burton C.; Larson, James A.
Research has evaluated the relative profitability of variable-rate (VRT) versus uniform-rate (URT) application of a single input in fields with multiple management zones. This study addresses map-based VRT decisions for multiple inputs in fields with multiple management zones. The decision-making framework is illustrated for nitrogen and water applied to irrigated cotton in fields with three management zones. Results suggest traditional methods of determining VRT application of a single input may by suboptimal if interactions exist among VRT inputs and URT inputs. Implications are that a systems approach to multiple-input VRT decisions can produce increased net returns to VRT.