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| Filter results7 paper(s) found. |
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1. Updating Oat Nitrogen Fertilizer Rate GuidelinesThe 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 |
2. 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 |
3. Investigating Potassium Fertility in Indiana: K Rates and Nutrient InteractionsAdequate 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 |
4. Phosphorus Fertilizer Management: Implications on Crop Yields and Soil P BudgetsRecent 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 |
5. Picking the Right Nitrogen Recommendation Tool to Improve NUE and Water Quality in NebraskaThe 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 |
6. The Manitoba Greenhouse Gas Assessment ToolMethane (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 |
7. Evaluating Classification Methods for Phosphorus Responsiveness for Fertilizer RecommendationsField 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 |