Jeffrey A. Vetsch
University of Minnesota
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Featured researches published by Jeffrey A. Vetsch.
Precision Agriculture | 2009
Yuxin Miao; David J. Mulla; Gyles W. Randall; Jeffrey A. Vetsch; Roxana Vintila
The chlorophyll meter (CM) has been commonly used for in-season nitrogen (N) management of corn (Zea mays L.). Nevertheless, it has limited potential for site-specific N management in large fields due to difficulties in using it to generate N status maps. The objective of this study was to determine how well CM readings can be estimated using aerial hyper-spectral and simulated multi-spectral remote sensing images at different corn growth stages. Two field experiments were conducted in Minnesota, USA during 2005 involving different N application rates and timings on a corn-soybean [Glycine max (L.) Merr.] rotation field and a corn-corn rotation field. Four flights were made during the growing season using the AISA Eagle Hyper-spectral Imager and CM readings were collected at four or five different growth stages. The results indicated that single multi-spectral and hyper-spectral band or vegetation index could explain 64–86% and 73–88% of the variability in CM readings, respectively, except at growth stage V9 in the corn-soybean rotation field where no band or vegetation index could explain more than 37% of the variability in CM readings. Multiple regression analysis demonstrated that the combination of 2–4 broad-bands or 3–8 narrow-bands could explain 41–92% or 61–94% of the variability in CM readings across the two fields and different corn growth stages investigated. It was concluded that the combination of CM readings with high spatial resolution hyper-spectral or multi-spectral remote sensing images can overcome the limitations of using them individually, thus offering a practical solution to N deficiency detection and possibly in-season site-specific N management in large continuous corn fields or at later stages in corn-soybean rotation fields.
Journal of Soil and Water Conservation | 2008
Gyles W. Randall; Jeffrey A. Vetsch
Strip tillage, a conservation tillage system using very reduced tillage, is attracting much attention throughout the corn-growing regions of the United States. In the northern parts of the Corn Belt, strip tillage often replaces no-till systems on the more poorly drained soils because it provides a warmer tilled seedbed for early planting and faster early growth while maintaining substantial amounts of erosion-minimizing plant residue between the tilled strips. Another benefit of strip tillage is the need for only one field operation between soybean harvest and spring planting—that is, fall strip tillage accompanied by deep-placement of fertilizer phosphorus (P) and potassium (K) in a band 15 to 18 cm (6 to 7 in) deep in the strip. No preplant tillage is needed. From an environmental perspective, deep-band placement is considered to be ideal in terms of eliminating nutrient stratification and reducing the potential for surface runoff of fertilizer P, which can easily occur when fertilizers are broadcasted on the soil surface of no-till systems. From an agronomic perspective, fertilizer placement 10 to 13 cm (4 to 5 in) directly below where the seed will be planted is thought to be ideal in terms of fertilizer P and K use efficiency, early
Agronomy Journal | 2004
Jeffrey A. Vetsch; Gyles W. Randall
Journal of Environmental Quality | 2005
Gyles W. Randall; Jeffrey A. Vetsch
Journal of Environmental Quality | 2003
Gyles W. Randall; Jeffrey A. Vetsch; J. R. Huffman
Agronomy Journal | 2002
Jeffrey A. Vetsch; Gyles W. Randall
Agronomy Journal | 2003
Gyles W. Randall; Jeffrey A. Vetsch; Jerald R. Huffman
Agronomy Journal | 2005
Gyles W. Randall; Jeffrey A. Vetsch
Agronomy Journal | 2007
Jeffrey A. Vetsch; Gyles W. Randall; John A. Lamb
Agronomy Journal | 2000
Jeffrey A. Vetsch; Gyles W. Randall