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Miller, B.A
Grunwald, S
Sadler, E.J
Voss, R.D
Lauzon, J
Randall, B.K
Walters, D
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Authors
Randall, B.K
Kitchen, N.R
Heaton, E.A
Myers, D.B
Thompson, A.L
Voss, R.D
Voss, R.D
Wingeyer, A.B
Walters, D
Casseman, K
Dobermann, A
Perry, C.R
Lauzon, J
Deen, B
Meyers, D.B
Kitchen, N.R
Sudduth, K.A
Sadler, E.J
Miles, R.J
Grunwald, S
Ferhatoglu, C
Miller, B.A
Topics
Graduate Award Student Poster
Type
Oral
Poster
Year
2014
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Filter results7 paper(s) found.

1. Integrated Farm Management Demonstration Program in Iowa

The Integrated Farm Management (IFM) Demonstration Program was established by the landmark 1987 Iowa Groundwater Protection Act. The five-year program, funded through 1992, is a cooperative effort involving various state agencies, Iowa State University and Iowa farmers. The program coordinators, many of whom are Iowa State Extension Service staff and scientists, work with farmers to help them implement best available technology that protects the environment and conserves energy. The goal of the program...

2. Interpretation and Presentation of Research Information

Crop yields have increased over time as the knowledge base supporting crop production practices has increased. The educational process of transfer of information based on research bears a deep sense of responsibility. Selection of research results on which to base recommendations is a matter of judgement that can be enhanced by proper statistical analysis. Experimental objectives, experimental design, treatment selection, number and years of experiments, environments in which the experimentation...

3. Cropping Systems Management Effects on Soil N Mineralization Dynamics

Changes in soil organic matter (SOM) content due to cultivation also impacts the amount of indigenous soil nitrogen (IN) supply. Crop management practices designed to achieve high yields also result in high residue inputs, which can contribute to SOM build up and enhanced indigenous N supply. The objective of this study was to evaluate the long term effect of crop rotation and nutrient management in conventional and intensive maize based systems on the change in soil N supply. Soil samples fiotn...

4. Manure Application Technology and Impact on Nitrogen Dynamics

A field study was carried out ne ar Elora, Ontario to assess the impact of manure application timing and method on ammonia volatilization a nd nitrogen availability to the crop. A novel method was developed and calibrated for quan tifying ammonia volatilization using passive dosimeter tubes, which promises to provide an economical alternative to other methods. Ammonia loss was negligible from injected manure treatments, and when manure was incorporated immediately it had smaller losses th an when...

5. Response Surface Models Of Subsoil K Concentration For Loess Over Till Soils In Missouri

Crop uptake of potassium (K) has demonstrated sensitivity to subsoil variation in K content. This fact has not been sufficiently considered in K management strategies in part due to logistical difficulties in sampling spatially variable subsoil K. We propose a simplified soil factorial model, a response surface, to enable site-specific accounting of whole root zone K supply for loess over till soils. We compared the performance of two peak functions and a non-parametric local regression procedure...

6. Nitrogen Management of Bioenergy Miscanthus on Claypan Soil Landscapes

Bioenergy crop Miscanthus x giganteus has been well studied for its yield in Europe and certain parts of the US Midwest but little has been done to investigate Miscanthus production in settings economically marginal for grain production. This study was conducted to determine nitrogen (N) requirements and yield potentials of M. x giganteus in degraded claypan soils. The effects of N fertilizer rates were investigated at four different locations in central Missouri on a Mexico series soil (fine, smectitic,...

7. Improving Digital Soil Maps for Site-specific Soil Fertility Management Using Feature Selection

Digital soil mapping (DSM) has become an attractive option to manage site-specific soil fertility management thanks to its capabilities of creating highly accurate, fine-resolution (e.g., 3 m) soil maps with uncertainty measures associated with soil property predictions. One approach to making soil maps with geospatial technologies is to build statistical models using machine learning (ML) based on the relationships between environmental covariates (e.g., digital terrain attributes, satellite,... C. Ferhatoglu, B.A. Miller