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Veum, K.S
Venterea, R.T
Shaver, T
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Authors
Crowther, J
Parrish, J
Ferguson, R
Luck, J
Glewen, K
Shaver, T
Krull, D
Thompson, L
Mueller, N
Krienke, B
Mieno, T
Ingram, T
Parrish, J
Ferguson, R
Luck, J
Glewen, K
Thompson, L
Krienke, B
Mueller, N
Ingram, T
Krull, D
Crowther, J
Shaver, T
Mieno, T
Henry, M.B
Kitchen, N.R
Veum, K.S
Svedin, J.D
Ransom, C.J
Svedin, J.D
Kitchen, N.R
Veum, K.S
Anderson, S.H
Souza, E
Fernandez, F.G
Coulter, J
Wilson, M
Vetsch, J.A
Pagliari, P.H
Venterea, R.T
Kaiser, D.E
Fabrizzi, K.P
Bernau, D
Rosen, C.J
Mizuta, K
Miao, Y
Sharma, V
Topics
Soil Health Metrics
Graduate Award Student Poster/State Poster
General
Type
Oral
Poster
Year
2017
2020
2021
2022
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Filter results5 paper(s) found.

1. Integrating Management Zones and Canopy Sensing for Improved Nitrogen Recommendation Algorithms

Active crop canopy sensors have been studied as a tool to direct spatially variable nitrogen (N) fertilizer applications in maize, with the goal of increasing the synchrony between N supply and crop demand and thus improving N use efficiency (NUE). However, N recommendation algorithms have often proven inaccurate in certain subfield regions due to local spatial variability. Modifying these algorithms by integrating soil-based management zones (MZ) may improve their accuracy... J. Crowther, J. Parrish, R. Ferguson, J. Luck, K. Glewen, T. Shaver, D. Krull, L. Thompson, N. Mueller, B. Krienke, T. Mieno, T. Ingram

2. Comparison of Ground-Based Active Crop Canopy Sensor and Aerial Passive Crop Canopy Sensor for In-Season Nitrogen Management

Crop canopy sensors represent one tool available to help calculate a reactive in-season nitrogen (N) application rate in corn. When utilizing such systems, corn growers must decide between using active versus passive crop canopy sensors. The objectives of this study was to 1) determine the correlation between N management by remote sensing using a passive sensor and N management using proximal sensing with an active sensors. Treatments were arranged as field length strips in a randomized complete... J. Parrish, R. Ferguson, J. Luck, K. Glewen, L. Thompson, B. Krienke, N. Mueller, T. Ingram, D. Krull, J. Crowther, T. Shaver, T. Mieno

3. Corn Tissue Nutrient Concentration Related to Soil Fertility Levels

Soil health metrics, such as active carbon or soil respiration, may be important factors influencing corn nutrient uptake. The push for increasing soil health has promoted the question of how soil health and soil fertility interact. This research determined how different soil health metrics impact early-season corn tissue potassium (K), sulfur (S), or phosphorus (P) nutrient content. Research conducted in 2019 on 35 producer Missouri fields encompassed many soil types and management practices.... M.B. Henry, N.R. Kitchen, K.S. Veum, J.D. Svedin

4. Can Soil Health Metrics Improve Standard Soil Fertility Recommendations?

It is commonly speculated that integrating soil health (SH) testing with soil fertility (SF) testing would improve fertilizer recommendation decisions. However, quantified impacts of SH properties, specifically soil biological properties, on fertilizer demand have not been well established. The objective of this research was to explore corn (Zea mays L.) yield response to phosphorus (P) and potassium (K) fertilization as influenced by established SF analysis and common SH metrics.... C.J. Ransom, J. Svedin, N.R. Kitchen, K. Veum, S.H. Anderson

5. A Minnesota-Wide Assessment of Critical Pre-Plant and in-Season Soil Nitrate for Adjusting Nitrogen Rate Guidelines

The pre-plant (PPNT) and pre-sidedress (PSNT) soil nitrate tests are often used as indicators of soil nitrogen (N) availability in Minnesota. The assessment of available soil nitrogen (N) provides corn (Zea mays L.) growers with key information on N credits to adjust their N fertilizer rates. However, current N management recommendations in Minnesota were based on research conducted 40-yr ago and did not specify differences between environments and management. Through a comprehensive... E. Souza, F.G. Fernandez, J. Coulter, M. Wilson, J.A. Vetsch, P.H. Pagliari, R.T. Venterea, D.E. Kaiser, K.P. Fabrizzi, D. Bernau, C.J. Rosen, K. Mizuta, Y. Miao, V. Sharma