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| Filter results7 paper(s) found. |
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1. The Growth of MEY in Spring Wheat CountryAny ag orientated news source looked at in recent weeks in North Dakota or western Minnesota has had some kind of a MEY related story. The MEY usually has been identified as 19naximum economic yield," but recently some use of I1most efficient yield" has been seen. Yes, spring wheat country has a new buzz acronym - MEY. How did such a buzz term for tbis amount of press/news coverage develop in the spring wheat region? The kickoff for MEY club deve1-t ocaured on November 25, 1986. Before that was possible,... |
2. Use of Near infrared-NIR- Reflecctance for Improving Nitrogen Management in Spring WheatAdvancements in agricultural technology are providing both producers and researchers with improved tools for farm management d ec is ion making . Reduced profit margins are requiring farm managers to use these advanced tools to optimize input management in order to improve prof it levels. Fertilizer nitrogen (N) is a major input foi spring wheat in the Great Plains. Each year, many farmers fertilize spring wheat with nitrogen to improve seedling vigor and plant developmenl. Nitrogen is a major nutrient... |
3. 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,... |
4. Induced Manganese Deficiency in GM SoybeansGlyphosate resistance in soybean and corn reduced manganese uptake and physiological efficiency. Applicatior~ of glyphosate immobilized manganese applied before, concurrent with, or within 6-8 days after the glyphosatc event. Inorganic sources of manganese (Cl, CO,, SO,) tank-mixed with gly-phosate were antagonistic and reduced herbicidal efficacy: ho~vever, antagonism was significantly influenced by glypllosate fonnulation. Glyphosate root exudates and plant deconlposition products can alter the... |
5. Genotype Specific Management for Nitrogen Use Efficiency in Kentucky Soft Red Winter WheatThe complex interaction of genotype x environment x management (GxExM) that defines crop yield is often only explored with research on a single genotype or a select few genotypes. Improvements in crop management and understanding local adaptation to climate variability will require a broader understanding of specific genotype interactions with management systems across multiple environments. A multi-year study investigating the potential for variety specific management systems based on phenotypic... |
6. Comparing Yield Goal and Maximum Return to N Based Methods in Predicting Corn Economic Optimal Nitrogen RatesThere are two main N rate recommendation systems used in the U.S.–Yield goal and maximum return to N (MRTN). The current yield-goal based system for calculating corn N rate recommendations in SD has not been evaluated for accuracy since 2013. Therefore, the objective of this project was to 1) evaluate the accuracy of the current yield goal-based equation and 2) create a database of N response trials and evaluate the accuracy of using the MRTN approach for predicting N rate requirements.... J. Clark, P. Kovacs, A. Bly, C. Graham |
7. Predicting Nitrogen Response by Winter Wheat Using Soil Health and Soil Microbiome IndicatorsEfficient nitrogen (N) management is critical for improving profitability and sustainability in winter wheat production systems of western South Dakota, where soils and growing conditions vary widely. Current fertilizer recommendations rely heavily on soil nitrate-N, often overlooking contributions from organic N sources and soil biological activity. This project aims to refine N fertilizer recommendations by integrating soil health indices (SHIs) and soil microbiome analysis as predictors of... C. Graham, R. Jain |