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1. Economic Perspective on Variable Rate FertilizationSoils form a continuum across every farmer's field, constantly changing in both physical and chemical characteristics. Sometimes these changes are visible; sometimes they are completely masked to the eye. Variables such as organic matter, water-holding capacity, pH, and soil nutrient levels differ, and combined, they affect crop yield goals. In either case, these differences should result in different management practices, including fertilizer applications, being recommended for different soils within... |
2. Hybrid and Potash Effects on Root Growth in Ridge-till CornPotassium deficiency symptoms often appear in ridge-till and no-till corn even when soil test values for potassium are high. Certain hybrids are morc sensitive to the problem than others. Two techniques were used to assess root activity arid density in a three year experiment at the West Central Experiment Station, Morris, MN. We compared two tillage systems (fall chisel and ridge till). two hybrids (Pioneer 3732 and 3737) and three fertilizer treatments (control and 40 IbIA banded or broadcast K,O).... |
3. Soil and Site Factors Responsible for Yield Variations in Two Southern Illinois Farm FieldsYield variability within a field is largely influenced by the soil physical. chemical. and topographic features of that field. On-farm field research studies were conducted from 1997 through 1999 on two southern Illinois farm fields (one in Jefferson County and the other in Pope County) with varying soil physical, chemical, and topographic features to determine which factors most influenced crop yield variability. Each location was GPS-gridded utilizing a grid cell size of 0.45 acres. Detailed topographic... |
4. The Influence of Variably Applied Potassium Fertilizer on Yield Variations in Two Southern Illinois Farm FieldsThe basis of Variable Rate Technology (VRT) is to apply nutrients where they are needed and to reduce the application of nutrients where they are not needed. However, there is considerable uncertainty as to whether the variable application of nutrients to farmers fields should be on the basis of soil test levels or yield potentials. A field study was conducted at two locations in southern Illinois from 1997 to 1999 to evaluate VRT as a management tool for corn and soybean production on fields with... |
5. The Importance of Soil Microorganisms in Aggregate StabilityAggregate stability is a soil quality factor. Water stability of aggregates is related to microbial activity. This paper reviews microbial inputs to aggregate stability. Soil fungi have long hair-like projections, hyphae that can physically entangle soil particles and exude glues. Microbial glues are discussed with special emphasis on arbuscular mycorrhizal (AM) fungi and the glue-like compound, glomalin. produced on hyphae of this group of fungi. Influences of management practices on AM fungi are... |
6. Consequences Of Shallow NH3 Placement And Timing On N Use Efficiencies In Corn ProductionA field study in west-central Indiana was conducted to investigate the effects of shallow anhydrous ammonia (NH 3) placement and timing on N use efficiencies in a conventionally tilled corn production system following soybean crop. The spring NH 3 was applied either pre-plant (6- inches offset from future corn row) or side-dress (at mid-row position) at different rates (0, 80, 130 or 180 lbs N acre -1). Aboveground biomass harvest and combine harvested yield were used to determine N recovery, N internal... |
7. Sulfur and Micronutrient Fertilization for Wheat Production in KansasGenetic advances in wheat (Triticum aestivum) and increased yield potential may require changes in fertilization programs including the addition of secondary and micronutrients. The objective of this study was to evaluate wheat response to sulfur and micronutrient fertilization and evaluate soil testing and tissue analysis as a diagnostic tool. Seven locations were established in 2012 and 201, all locations were established in under dryland conditions (four locations presented in this paper). Fertilizer... |
8. Evaluation of Macronutrient Uptake and Partitioning in Winter WheatA better understanding of nutrient uptake patterns during the growing season for winter wheat (Triticum aestivum) can help to improve nutrient management decisions at the farm level. The objective of this study was to evaluate the effect of macro and micronutrient fertilization on nutrient uptake and partitioning for a Kansas wheat variety. This study was conducted during the 2014-2015 growing season at the Manhattan North Farm research station, Kansas State University. The experimental design was... |
9. Evaluation of Soybean Response to Micronutrients using Strip TrialsLimited studies are available on soybean response to micronutrients and particularly in field- scale strips. The objective of this study was to evaluate soybean tissue response to micronutrient fertilizers in fields with high soil variability. The experimental design consisted of two strips, an unfertilized and fertilized replicated three times. The treatments included an untreated control and a blend of Cu, Mn and Zn at a rate of 10 lb acre -1 and B at a rate of 2.5 lb acre-1. Soil samples were... |
10. Exploratory analysis of event-based edge-of-field phosphorus lossesUnderstanding how the timing of management activities, particularly manure and fertilizer applications, impacts P losses in runoff can improve farmers’ decisions on when to apply nutrients. The University of Wisconsin Discovery Farms and Discovery Farms Minnesota have been monitoring edge-of-field nutrient losses since 2004. This data set includes over 125 site-years of runoff across 26 fields and includes 1574 individual runoff events. The objectives of this study are to: (i) determine... |
11. Adjusting Soybean Seeding Rate and Nutrient Strategies to Promote Nutrient Uptake in Irrigated and Non-Irrigated SystemsIncreases in total dry matter accumulation (TDM) can impact soybean (Glycine max L. Merr.) grain yield. However, the relationship between nutrient uptake and dry matter (DM) across seeding rates and influences on grain yield under irrigated and non-irrigated conditions remains uncertain. Two multi-year trials were established near Lansing, MI to investigate soybean dry matter accumulation, partitioning and remobilization; nutrient accumulation, partitioning, and remobilization; grain... K. Steinke , C. Terwillegar |
12. Should we incur a loss by interseeding in sugarbeet ?The Red River Valley of North Dakota and Minnesota contributes with half of the nation’s sugarbeet (Beta vulgaris L.) production. Interseeding cover crops within sugarbeet has the potential to reduce the impact of soil disturbances. Field experiments were conducted to evaluate the impact of cover crop interseeding time and species on sugarbeet root yield, sugar content, and economic profitability during 2018 -20 growing seasons. Cover crops were first interseeded in June and second... S. Sigdel, A. Chatterjee, M. Berti |
13. Managing Nitrogen to Optimize Yield and Quality of North Dakota Two-row Malting BarleyAs the demand of two-row malting barley (Hordeum vulgare L.) increases, having sound N recommendations is increasingly necessary. Not only does N play a role in grain yield, but it may also significantly impact grain malting characteristics including protein, plump, and test weight. To determine the impacts N rate and N availability have on two-row malting barley, two experimental sites were established in both Spring 2020 and 2021. The experiment was organized in a randomized complete... B. Goettl, H. Bu, A. Wick, D. Franzen |
14. Advances in North Dakota Soil Fertility 2022Following years of accumulating data from field studies using the GreenSeeker™ and Holland Scientific Crop Circle™ active optical sensors, algorithms for use in spring wheat for in-season N application for yield, and immediate post-anthesis N application for protein enhancement have been developed. Both algorithms require an N non-limiting area as a standard. The algorithm for protein enhancement considers whether a cultivar has inherent high protein or lower protein characteristics... D. Franzen, H. Bu, M. Berti, A. Wick |