Proceedings
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| Filter results5 paper(s) found. |
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1. Winter Wheat Growth and Grain Yield Response to Individual Agronomic InputsProducers’ interested in optimizing wheat (Triticum aestivum L.) growth and yields have adopted intensive (i.e. high-input) wheat management systems in Michigan. Additional research is required to evaluate growth, grain yield, and profitability of multiple and individual agronomic inputs. An omission field trial was initiated in Lansing, MI during 2015 to evaluate the response of soft red winter wheat to six agronomic inputs in enhanced (high-input) and traditional (low-input) management... D. Quinn, K. Steinke |
2. How Agronomic Management Affects Soil Nitrous Oxide EmissionsThe effects of crop and soil management practices on soil emissions of non-carbon dioxide (CO2) greenhouse gases (GHGs) such as nitrous oxide (N2O) are highly variable, and long-term field data are limited. Management strategies that impact nitrogen (N) mineralization are also likely to affect how N is lost to the atmosphere as N2O gas. This presentation covers the agroecosystem soil N cycling concepts leading to losses as N2O as well as... V.L. Jin, M.R. Schmer, B.J. Wienhold |
3. Targeting Input Responses and Returns on Intensively-Managed Soft Red Winter WheatConsecutive years of record wheat (Triticum aestivum L.) yield (81 and 89 in 2015 and 2016, respectively), climate variability, and continued demand from Michigan’s milling and cereal industry have increased interest in intensively-managed (i.e. multiple-input) soft red winter wheat production systems. The objective of this study was to investigate the grain yield and economic profitability of several agronomic inputs across intensive (i.e., multiple- input) and traditional... D. Quinn, K. Steinke |
4. Biochemical Soil Health Indicators Related to Economic Optimum Nitrogen Rate in CornIn corn production, nitrogen (N) fertilization is one of the main inputs to enhance yield. However, in the last few years, reducing N utilization has been a goal due to environmental concerns and production costs. Soil health tests have been studied to understand the relationship with N availability and its use to adjust N recommendation rates. The objective of this study was to evaluate the relationship of different soil tests with the economic optimum N rate (N) for corn in Wisconsin. Soil samples... D. Orjuela diaz, C.A. Laboski, F. Arriaga |
5. Employing Statistical Models to Determine the Soil Tests and/or Soil Characteristics That Improved EONR Prediction in CornIn corn production, nitrogen (N) fertilization is crucial for increasing yield. However, in the last few years, there has been a push to use less N due to environmental concerns and production costs. There has been an interest in using soil health tests to predict N mineralization potential and further understand soil N availability to adjust N recommendation rates. Different statistical models like regression or decision tree analysis have been used to determine how the Economic Optimum N Rate... D. Orjuela diaz, C.A. Laboski, F. Arriaga |