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Authors
Below, F.E
Bly, A
Bourns, M
Carley, C
Cates, A
Clark, J
Clark, J.D
Cominelli, S
Currie, M
Dutter, C
Groebner, B
Harm Loman, M
Helms, A
Iqbal, J
Iqbal, J
Jhala, A
Kaiser, D
Karki, D
Kitchen, N
Lacasa, J
Lankau, R.A
Little, R
Loro, P
Maharjan, B
McDaniel, M
Neels, W
Quinn, D
Rakkar, M
Rawal, A
Riekman, M
Roa, G
Robinson, B
Ross, J
Ruark, M.D
Ruiz Diaz, D
Ruiz Diaz, D
Sawka, C
Sexton, P
Singh, A
Singh, A
St Cyr, M
Steinke, K
Thomas, L
Verhagen, G
Vetsch, J
Vetsch, J
Vyn, T
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Graduate Award Student Poster
Oral State Report
Type
Poster
Oral
Year
2021
2025
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Filter results16 paper(s) found.

1. Soil and Soybean Responses to Planting into Terminated Prairie Strips

Prairie strips are a new conservation practice that are currently implemented in 14 Midwest US states. Prairie strips have been shown to reduce runoff, increase soil health, retain sediment and nutrients, increase biodiversity and have no effect on surrounding crop yield. Due to the comprehensive improvements to soil health under prairie strips, researchers and growers are interested in rotating them on 10-15 year cycles.  We have little-to-no knowledge on the effects of planting crops i... C. Dutter, M. St cyr, M. Mcdaniel, C. Carley, A. Singh

2. Synergism Between Lime and Phosphate Fertilizer Application Enhances Soil Phosphorus Availability

Because phosphorus (P) is a non-renewable resource and an essential mineral element for plant development, understanding factors that affect soil phosphorus bioavailability is crucial for sustainable food production. Soil organic P can account for a large fraction of the total soil P, and its mineralization can replenish the soil solution with plant-available P. Raising the soil pH with a liming agent can enhance soil biological activity and increase soil P availability in acidic soils, but i... M. Harm loman, F.E. Below

3. Soil Health Indicators help with Fertilizer Application Decisions in South Dakota Corn

Fertilizer inputs are an essential part of corn (Zea mays) cropping systems in the United States.  In South Dakota, phosphorus and potassium yearly inputs are based on  soil test nutrient levels and a yield goal while sulfur is based on soil texture and tillage practices. These 3 plant nutrients have a point called the “critical value” where addition of more of the nutrient as an inorganic fertilizer should no longer result in a yield increase. These fertilizer ... B. Groebner, J. Clark

4. Corn Response to Phosphorus Fertilization and Evaluation of Soil Test Methods in Kansas Soils

Phosphorus is a critical nutrient in corn (Zea mays L.) production, and limitation in P availability can result in significant yield reduction. The objective of this study was to evaluate corn response to phosphorus fertilization and evaluate multiple soil test methods in Kansas soils. The study was conducted in 13 locations across Kansas during 2021. Fertilizer treatment consisted of five rates of phosphorus (P) fertilizer (0, 30, 60, 90, and 120 lbs. P2O5 acre–1), using mono-... G. Roa , D. Ruiz diaz

5. Can ProveN Reduce Corn Nitrogen Requirement in Minnesota?

ProveN is a microbial product applied in-furrow with the goal of reducing the total amount of nitrogen fertilizer needed for corn (Zea mays L.). Six field trials were established over three growing seasons in Minnesota to evaluate corn response to nitrogen with and without ProveN applied at planting on the seed. Nitrogen was applied as urea prior to planting at five locations and split applied with 1/3 of the total rates of nitrogen applied at -planting, at V4, and V8 growth stages. ... D. Kaiser, J. Vetsch, M. Currie

6. Winter Wheat Grain and Straw Impacts from Autumn Starter and Spring Nitrogen Fertilizer Strategies

The overwintering success of winter wheat (Triticum aestivum L.) can be a determining yield factor in Michigan. Autumn-applied starter fertilizer may affect establishment, nutrient uptake, tiller production, and grain and straw yield. The objective of this study was to evaluate soft red winter wheat (SRWW) grain and straw yield in response to autumn applied starter fertilizer, spring nitrogen (N), and varietal stature. A two-year randomized complete block split-plot design w... K. Steinke, L. Thomas

7. Grain Yield and Nutrient Removal Relationships in High-yield Modern Corn Hybrids Under In-season Sulfur and Potassium Applications

Advancements in modern corn genetics and adoption of intensive management practices, including in-season sulfur (S) and potassium (K) applications, have helped corn farmers set higher yield goals while prompting new questions about plant nutrient dynamics during the season and cumulative nutrient removal with grain at harvest. The primary goal of this study was to investigate how hybrid and fertility management decisions in situations with high yield potential (>225 bushels acre-1) impact ... G. Verhagen, T. Vyn

8. Comparative Effects of Herbicide, Nitrogen Inhibitors and Nitrogen Source on Nitrification and Corn Yield

Nitrogen management in crops can be challenging due to nitrogen transformations and losses in soil, such as nitrification and denitrification. Nitrification is the conversion of ammonium (NH4+) to nitrate (NO3-) by ammonia oxidizing bacteria (AOB), Nitrosomonas and Nitrobacter. Nitrates can be lost through leaching during heavy precipitation. Nitrification inhibitor products are used to temporarily slow the nitrification process by... W. Neels, A. Jhala, B. Maharjan, R. Little, J. Iqbal

9. Biomass and Nitrogen Partitioning of the Modern Russet Varieties of Potatoes Under Nitrogen Stressed and Optimum Conditions

Wisconsin is the third largest producers of potatoes in the USA. Nitrogen (N) is the most limiting nutrient in the development of crop biomass and yield. N uptake and partitioning in potato can be different based on the varieties and nutrient availability. These differences can result in the wide variations in yield accumulation and nitrogen use efficiencies. However, there is a lack of quantitative understanding of the in-season N uptake and demand and biomass partitioning of the different v... A. Rawal, M.D. Ruark, R.A. Lankau, J. Ross

10. Updating Oat Nitrogen Fertilizer Rate Guidelines

The current yield-goal based system for calculating oat N rate recommendations in SD has not been evaluated for accuracy recently. There are two main N rate recommendation systems used in the U.S.–Yield goal and maximum return to N (MRTN). Therefore, the objective of this project was to 1) evaluate the accuracy of the current yield goal-based equation and 2) evaluate the accuracy of using the MRTN approach for predicting N rate requirements. Twenty-eight oat N rate response trials were ... J. Clark, D. Karki, A. Bly, P. Sexton

11. How Do Cover Crops, Nitrogen Rate and Cropping System Affect Nitrate Loss in Tile Drainage Water?

A field research study was conducted on clay loam soil in Waseca Minnesota. The objectives were to quantify the effects and interactions of cover crops, nitrogen (N) fertilizer rates and cropping system on corn production and nitrate-N concentration and loss in tile drainage water. Cover crop treatments [cereal rye and a blend of annuals (oat, forage pea and radish)] were drilled soon after corn silage harvest each fall. Nitrogen treatments were split-applied at planting and V3 growth stage. ... J. Vetsch, A. Cates

12. Investigating Potassium Fertility in Indiana: K Rates and Nutrient Interactions

Adequate potassium (K) nutrition is critical for optimal plant growth and yield production in both corn and soybeans. Ongoing trials across the state of Indiana have been investigating K rate response in corn and soybeans in different environments. Treatments range from 0-180 lbs K2O/ac as potash. Results from these studies will be discussed. Additionally, new in 2025, NxS and NxK trials were conducted to investigate the effect of K nutrient interactions on corn yield. Treatments i... D. Quinn, A. Helms, M. Bourns

13. Phosphorus Fertilizer Management: Implications on Crop Yields and Soil P Budgets

Recent volatility in fertilizer prices, declining commodity values, and increasing water quality concerns have intensified scrutiny around phosphorus (P) management decisions in Ohio. In response, we initiated a field trial to evaluate crop yield response and soil phosphorus budgets under various P application strategies within a corn–soybean rotation during the 2024 and 2025 growing seasons. The study investigated two P application timings (fall and spring), two fertilizer sources (tri... M. Rakkar, B. Robinson

14. Picking the Right Nitrogen Recommendation Tool to Improve NUE and Water Quality in Nebraska

The comparison of static versus dynamic nitrogen (N) recommendation tools has gained significant attention for enhancing N management in the U.S. Midwest maize production. However, both approaches have limitations in performance under variable field conditions. This two-year study (2021–2022) evaluated the agronomic, environmental, and economic outcomes of a static Nebraska Yield Goal (NE YG) tool against four dynamic N tools: Maize-N, canopy reflectance sensing, Granular, and Adapt-N. ... J. Iqbal, A. Singh

15. The Manitoba Greenhouse Gas Assessment Tool

Methane (CH4) and nitrous oxide (N2O) are potent greenhouse gases (GHGs) emitted by agriculture.  Manitoba Agriculture has developed an educational GHG assessment tool that allows farmers to evaluate annual emissions of these GHGs from their practices and explore the impact of changing practices.  The first phase of the GHG assessment tool consists of annual estimates of N2O and CH4 emissions from soil and crop management practices, livest... P. Loro, M. Riekman, C. Sawka

16. Evaluating Classification Methods for Phosphorus Responsiveness for Fertilizer Recommendations

Field crop yield responses to fertilizer applications are often uncertain, and the likelihood of a response at a given site is typically determined using correlation-based soil test methods whose accuracy is not well established. The objective of this study was to evaluate three alternative approaches to classify field sites as responsive or non-responsive to phosphorus (P) fertilization in wheat. The methods tested were: (i) a linear-plateau correlation model, (ii) a linear-plateau correlati... D. Ruiz diaz, S. Cominelli, J. Lacasa