E.J. Sadler
University of Missouri
Publications 22
#1Claire Baffaut (MU: University of Missouri)H-Index: 20
#2F. Ghidey (MU: University of Missouri)H-Index: 3
Last.E.J. Sadler (MU: University of Missouri)H-Index: 10
view all 6 authors...
Abstract Evaluation of the sustainability of grain production systems requires knowledge of long-term crop yields, and edge-of-field runoff volumes and water quality. When measured data are limited, computer simulation models —calibrated and validated with the available data— are well suited for this type of inquiry. In this study, the Agricultural Policy Environmental Extender (APEX) model was used to investigate how management affects crop yields, runoff volume, and water quality on claypan so...
#1Sagar GautamH-Index: 3
#2Christine CostelloH-Index: 3
Last.E.J. SadlerH-Index: 10
view all 7 authors...
Potential impacts of climate change on the hydrological components of the Goodwater Creek Experimental Watershed were assessed using climate datasets from the Coupled Model Intercomparison Project Phase 5 and Soil and Water Assessment Tool (SWAT). Historical and future ensembles of downscaled precipitation and temperature, and modeled water yield, surface runoff, and evapotranspiration, were compared. Ensemble SWAT results indicate increased springtime precipitation, water yield, surface runoff ...
3 CitationsSource
#1Matt A. Yost (MU: University of Missouri)H-Index: 8
#2Newell R. Kitchen (MU: University of Missouri)H-Index: 38
Last.M. R. Volkmann (MU: University of Missouri)H-Index: 1
view all 6 authors...
Research is lacking on the long-term impacts of field-scale precision agriculture practices on grain production. Following more than a decade (1993–2003) of yield and soil mapping and water quality assessment, a multi-faceted, ‘precision agriculture system’ (PAS) was implemented from 2004 to 2014 on a 36-ha field in central Missouri. The PAS targeted management practices that address crop production and environmental issues. It included no-till, cover crops, growing winter wheat (Triticum aestiv...
13 CitationsSource
#1E.J. SadlerH-Index: 10
#2Claire BaffautH-Index: 20
Last.Matt A. YostH-Index: 8
view all 8 authors...
#1Matt A. Yost (MU: University of Missouri)H-Index: 8
#2Newell R. Kitchen (MU: University of Missouri)H-Index: 38
Last.Scott T. Drummond (MU: University of Missouri)H-Index: 13
view all 7 authors...
713 The USDA-ARS Long-Term Agro-Ecosystem Research (LTAR) network was established in 2012 as an agroecosystem assessment, complementary to the National Science Foundation’s Long-Term Ecological Research and National Ecological Observatory Network. Th e goal of the LTAR network is to “to sustain a land-based infrastructure for research, education, and outreach that enables understanding and forecasting of our capacity to provide agricultural commodities and other agro-ecosystem goods and services...
8 CitationsSource
11 CitationsSource
Various land management decisions are based on local soil properties. These soil properties include average values from soil characterization for each soil series. In reality, these properties might be variable due to substantially different management, even for similar soil series. This study was conducted to test the hypothesis that for claypan soils, hydraulic properties can be significantly affected by long-term soil and crop management. Sampling was conducted during the summer of 2008 from ...
23 CitationsSource
Streams and drinking water reservoirs throughout the claypan soil region of Missouri and Illinois are particularly vulnerable to herbicide contamination from surface runoff during spring. This study follows a plot-scale study conducted on claypan soils to quantify and compare edge-of-field herbicide losses from a corn-soybean rotation under mulch tillage and no-tillage systems. The objectives of the present study were to confirm at field scale (34.4 ha (85 ac) and 7.8 ha (19.3 ac)) the plot-scal...
22 CitationsSource
#1D.B. Myers (UF: University of Florida)H-Index: 5
#2N.R. Kitchen (UF: University of Florida)H-Index: 1
Last.R.P. Udawatta (MU: University of Missouri)H-Index: 1
view all 7 authors...
Proximal ground conductivity sensors produce high spatial resolution maps that integrate the bulk electrical conductivity (ECa) of the soil profile. For meaningful interpretation, variability in conductivity maps must either be inverted to profile conductivity or be directly calibrated to profile properties. Penetrating apparent electrical conductivity (ECa–P) sensors produce high depth resolution data at relatively fewer spatial locations. The objectives of this research were to (i) investigate...
10 CitationsSource
#1Newell R. KitchenH-Index: 9
Last.Claire BaffautH-Index: 3
view all 5 authors...