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1. Pass--An Improved System for Combining Dris and Sufficiency Range Approaches to Plant AnalysisThe University of Wisconsin Soil & Plant Analysis Lab (UW-Lab) includes both the Sufficiency Range (SR) and the Diagnosis and Recommendations Lntegrated System (DRIS) interpretations in plant analysis reports. The UW-Lab added the DRIS to its routine plant analysis program in 1992. Soon after its introduction, the DRIS appeared to be diagnosing Ca as yield-limiting in many cases where the SR interpreted Ca as sufficient. The DRIS diagnosis of Ca as deficient also contradicted previous research which... |
2. Nitrogen Availability, Time of Release and Movement in RotationsPrevious studies have found that N is released through the decomposition of sugarbeet tops (Moraghan and Smith, 1996: Reitmeier et a]., 1999). There is also evidence that N credits may be justified following other broadleaf crops, such as potato and sunflower. This evidence follows work by Vanotti and Bundy (1995) and Bundy et al. (1 993) suggesting that N credits from annual legumes are provided not by decomposition ofthe roots or release ofN directly into the soil from the roots as some might assume,... |
3. Impacts of Management, Moisture, and Phosphorus Form on Phosphorus Loss PotentialPhosphorus (P) is considered one of the major nutrients contributing to degradation of water quality in the United States. Our objectives were to examine P loss potential associated with: 1) high moisture conditions. 2) application (surface and incorporated) of manure from animals fed different diets and 3) sorption dynamics of inorganic and organic P compounds. The study of high moisture conditions evaluated the effects of near surface moisture conditions (wet and saturated), time (up to 28 days... |
4. Applied Nutrient Management Research at Pioneer FarmAs part of the Wisconsin Agricultural Stewardship Initiative (WASI). Pioneer Fann serties as an applied systems research and education fCm with a mission to collect and disseminate high- quality environmental and economic baseline data to students, producers, and regulatory personnel. This paper outlines the current farm operations, methods and types of data collection, current results from ongoing monitoring projccts and 1.esearc11, and details how the data is being used to support science-based... |
5. Fertilizer Placement in Fall Strip TillageFall strip-tillage potentially provides an opportunity to increase conservation-till corn yields while sirnplifylng corn planters by minimizing the need for multiple coulters and application of relatively high rates of starter-band fertilizer associated with no-till. However. little is known about the relative efficiency of P and K application using fall strip-till systems co~npared to when starter-band applied in no-till systems. The objectives of the research reported in this study were to evaluate... |
6. Updating General Fertilizer Nitrogen Recommendations for Corn in OntarioCorn yield response data from field trials conducted over the past 30 years which evaluated yield response to fertilizer nitrogen (FN) in Ontario were cornpiled and reanalyzed in order to update general FN recommendations for corn in Ontario. The primary objectives of the reanalysis were to 1) determine the impact of the quadratic plateau model on FN recommendations and 2) develop a set of general recommendations that are free of adjustments based on geographical regions. The new proposed recommendations... |
7. Balancing Agronomy and Environment: N Recommendations in Ontario for the 21st CenturyThe goal of a fertilizer program may be to maximize yields from each ficld, or to maximize profit, or to minimize environmental impact. Recent instances of groundwater contamination with nitrate have focused attention on the need for source water protection, and agriculture has been implicated as one of the sources of nitrate contamination. This has lead to concerns that environmental rules could reduce the profitability of crop production, by limiting fertilizer use and hence, crop yields. Additional... |
8. Scale of Measurement Effects on Phosphorus Runoff Losses from CroplandAs phosphorus (P)-based nutrient management planning becomes necessary for some farms in Wisconsin, it will be critical to have reliable, research-based planning tools. The Wisconsin P- hdex provides one method for preparing P-based nutrient management plans. The P-Index was developed largely from small plot-scale data showing the relationships between various site and management variables and runoff P losses. Thls study was conducted to compare runoff composition measurements at the subwatershed... |
9. Evaluation of Crop Canopy Sensors as a Tool for Soybean Research and ProductionDetermining the variables that consistently increase yields in soybean  [Glycine max (L.) Merr.] continues to challenge researchers, agronomists and growers alike. Crop canopy sensors have emerged as a technology used in other cropping systems to monitor and manage agricultural inputs. The sensors measure reflectance in selected wavebands that are used to calculate vegetation indices that relate to unique leaf or canopy characteristics. The objectives of this study were to determine if a commercially... |
10. Which Corn Nitrogen Fertilization Rate Tools Preforms the Best in the Midwest?Publicly-available nitrogen (N) rate recommendation tools are utilized to help maximize yield in corn production. These tools often fail when N is over-applied and results in excess N being lost to the environment, or when N is under-applied and results in decreased yield and economic returns. Performance of a tool is often based on the specific soil and weather conditions of a growing season. Research is needed to determine which tools are the most effective at recommending economical optimal N... |
11. A Seed Company Perspective on Use of Crop Canopy Sensors for Making Corn Nitrogen Fertilizer RecommendationsCurrent nitrogen (N) management practices for corn production typically include significant quantities (e.g., 200 to 250 lbs/A) of pre-plant applied N at field-uniform rates. These conventional practices can sometim es result in sizeable N fertilizer losses, especially in extremely wet springs in the Corn Belt. The lo st N not only reduces grower profits through lost fertilizer and reduced yields in N deficien t areas, but can also lead to environmental contamination through nitrate leaching or... |
12. Active-Optical Reflectance Sensing Evaluated for Red and Red-Edge Waveband SensitivityUncertainty exists with corn (Zea mays L.) N management due to year-to-year variation in crop N need, soil N supply, and N loss from leaching, volatilization, and denitrification. Active-optical reflectance sensing (AORS) has proven effective in some fields for generating N fertilizer recommendations that improve N use efficiency. However, various sensors utilize different wavebands of light to calculate N fertilizer recommendations making it difficult to know which waveband is most sensitive... G. Bean, N. Kitchen, J. Camberato, R. Ferguson, F. Fernandez, D. Franzen, C. Laboski, E. Nafziger, J. Sawyer, P. Scharf, J. Schepers, J. Shanahan |
13. Do Split-Nitrogen Applications in the Midwest Affect Corn Nitrogen Uptake and Grain Yield?It is hypothesized that split-nitrogen (N) relative to single near-planting applications improve corn (Zea mays L.) grain yield and nitrogen recovery efficiency, which can lessen environmental impacts of fertilization. However, these hypotheses have not been fully tested. A 49-site-year study across eight US Midwestern states over three years was conducted to compare near-planting (Single) and split-N (Split) applications. Three N application timings were evaluated [Single near planting, 40... J. Clark, F. Fernandez, J. Camberato, P. Carter, R. Ferguson, D. Franzen, N. Kitchen, C. Laboski, E. Nafziger, J. Sawyer, J. Shanahan |
14. The Anaerobic Potentially Mineralizable Nitrogen Test as a Tool for Nitrogen Management in the MidwestThe anaerobic potentially mineralizable nitrogen (PMNan) test is a tool that can improve estimations of mineralizable nitrogen (N) and enhance nitrogen use efficiency. This tool may also help improve predictions of N uptake, grain yield, and the economic optimum nitrogen rate (EONR) of corn (Zea mays L.). A 32 site-year study across eight US Midwestern states was conducted to 1) compare the effect of incubation length (7-, 14-, 28-d), soil sampling timing, N fertilizer rate, and their... J. Clark, K. Sloan veum, F. Fernandez, J. Camberato, P. Carter, R. Ferguson, D. Franzen, N. Kitchen, C. Laboski, E. Nafziger, J. Sawyer, J. Shanahan |
15. Corn Tissue Nutrient Concentration Related to Soil Fertility LevelsSoil 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 |
16. 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 |
17. Cover Crop Species and Planting Methods Influence on Corn N Requirement in Southern IllinoisIt is well established that planting cover crops prior to corn (Zea mays L.) can influence soil temperature, moisture, and nitrogen (N) dynamics. These changes in soil along with the effects of cover crop on corn plant population can influence corn grain yield and N requirement. Two strategies to facilitate corn establishment and avoid N immobilization especially in winter cereal cover crops is by mixing cover crop species or skipping the corn row (precision planting). A randomized complete... A. Sadeghpour, C. Kula, G. Sener, C. Vick |
18. Lower Soil Test P Values Do Not Affect Crop Yield Values when Under Conservation PracticesSustainable P management in cropping systems is a challenge in modern agriculture. Phosphorus moving from agricultural fields to aquatic ecosystems resulting in eutrophication and other water quality problems continues to be a challenging issue for the agricultural community to solve. Despite the large amount of P in agricultural soils, most P is held within insoluble complexes, making this pool of P unavailable to plants. The implementation of conservation practices of no-till and high residue... C. Winter, D. Clark, S. Ireland, D. Beck |
19. Agronomic Management of Nitrogen to Reduce N2O Emissions in ManitobaNitrous oxide (N2O) emissions from soil accounts for about 20% of Manitoba’s total greenhouse gas (GHG) emissions. Numerous and recent field research has evaluated these emissions as influenced by nitrogen (N) management practices – such as use of enhanced efficiency fertilizers (EEFs), fertilizer placement and timing, use of legume and cover crops and organic farming. Several practices result in considerable decreases in N2O emissions, across a wide... J. Heard, M. Tenuta |
20. Cover Crop Species and Planting Methods Influence on Corn N Requirement in Southern IllinoisIt is well established that planting cover crops prior to corn (Zea mays L.) can influence soil temperature, moisture, and nitrogen (N) dynamics. These changes in soil along with the effects of cover crop on corn plant population can influence corn grain yield and N requirement. Two strategies to facilitate corn establishment and avoid N immobilization especially in winter cereal cover crops is by mixing cover crop species or skipping the corn row (precision planting). A randomized complete... A. Sadeghpour, C. Kula, G. Sener |