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Showing 1 to 20 of 27 for “"Yield Variability"”.

  1. Forage Yield Variability on New York Dairy Farms

    … more homegrown forage. As a consequence higher yields will reduce feed imports and enhance nutrient use efficiency. To improve forage production, limitations to production need to be identified. While yield records can provide integral information, whole farm evaluations have shown that accurate …

    cornell Repository record for Forage Yield Variability on New York Dairy Farms (opens in a new tab)

  2. Data-driven understanding of sweet corn yield variability

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms

    uiuc Repository record for Data-driven understanding of sweet corn yield variability (opens in a new tab)

  3. Soil Spatial Variability: Structures, Models, and Their Effects on Crop Yield Variability

    … accounted for more than 80% of total soil variability. Component regression accounted for about 52%, and 39% of soybean and corn yields variability respectively. Particle size distribution and organic matter by influencing moisture and nutrient dynamics, were the most important factors …

    uiuc Repository record for Soil Spatial Variability: Structures, Models, and Their Effects on Crop Yield Variability (opens in a new tab)

  4. A novel approach to investigating chlorophyll-a fluorescence quantum yield variability in the Southern Ocean

    The apparent fluorescence quantum yield of chlorophyll-a (ΦF ), i.e. the ratio of photons emitted as chlorophyll-a fluorescence to those absorbed by phytoplankton, serves as a first order measure of photosynthetic efficiency and a photophysiological indicator of the resident phytoplankton …

    cape-town Repository record for A novel approach to investigating chlorophyll-a fluorescence quantum yield variability in the Southern Ocean (opens in a new tab)

  5. Reducing Corn Yield Variability and Enhancing Yield Increases Through the Use of Corn-Specific Growth Models

    … and environmental scenarios on crop growth and yields. Two corn (Zea Mays L.) crop growth simulation models, Hybrid-Maize, and CERES-Maize were calibrated and validated under Virginia conditions with the goal of better understanding corn response to variable environmental conditions and …

    vt Repository record for Reducing Corn Yield Variability and Enhancing Yield Increases Through the Use of Corn-Specific Growth Models (opens in a new tab)

  6. Essays on Adapting to Extreme Shocks: Local Market Correlations and Global Agricultural Trade Responses to Weather and Yield Variability

    … explores how extreme events, climate, and yield variability affect local agricultural markets and global agricultural trade, offering insights to improve resilience and adaptability. It comprises three chapters. The first chapter analyzes the co-movement of corn basis returns among six …

    vt Repository record for Essays on Adapting to Extreme Shocks: Local Market Correlations and Global Agricultural Trade Responses to Weather and Yield Variability (opens in a new tab)

  7. Towards Autonomous Cotton Yield Monitoring

    … of interest in remote sensing to date is yield variability. Proper understanding of yield variability provides insight on the geo-positional dependences of field yields and insight on zone management strategies. Estimating cotton yield and observing cotton yield variability has proven to …

    vt Repository record for Towards Autonomous Cotton Yield Monitoring (opens in a new tab)

  8. Effect of Evapotranspiration Rate on Almond Yield in California

    … used three models (Model 1-3) to describe almond yield variability from year to year and almond yield variability within a year in Kern County, CA. The study evaluated 185 almond farms that were classified in three locations (east side, west side and north west side). The years of the study were …

    calpoly Repository record for Effect of Evapotranspiration Rate on Almond Yield in California (opens in a new tab)

  9. Extreme weather events in the upper Midwest: Implications on flood risk, crop yield, and water quality

    … focusing on their impacts on flood risk, crop yield, and water quality. Through a series of interconnected studies, the research provides critical insights into the complex effects of extreme precipitation and temperature events, offering valuable guidance for management and adaptation …

    uiuc Repository record for Extreme weather events in the upper Midwest: Implications on flood risk, crop yield, and water quality (opens in a new tab)

  10. Improving production yields in bio-pharmaceutical filter media

    … years. In a high growth scenario, production yield variability presents on-time delivery complications while below target yields drive significant scrap value. As FilterCo seeks to improve product lead time for its customers, while reducing WIP inventory, it must seek to maximize OEE with …

    mit Repository record for Improving production yields in bio-pharmaceutical filter media (opens in a new tab)

  11. Remote sensing-based assessment of crop yield and water dynamics in the southern Great Plains (USA)

    … a crucial tool for estimating and understanding yield variability and water management in diverse cropping systems. This is particularly important in water-limited areas, such as the southern Great Plains, where water is the key to sustaining agricultural production. Therefore, the present …

    ksu Repository record for Remote sensing-based assessment of crop yield and water dynamics in the southern Great Plains (USA) (opens in a new tab)

  12. An inventory planning methodology for a semiconductor manufacturer with significant sources of variability

    … need to hold inventory: to buffer against low yield, yield variability, long cycle times, cycle time variability, and uncertain demand. The thesis builds upon extensions of the Base Stock model to recommend target finished goods inventory (FGI) and work-in-process (WIP) levels, as well as …

    mit Repository record for An inventory planning methodology for a semiconductor manufacturer with significant sources of variability (opens in a new tab)

  13. US yield forecasting using crop condition ratings

    … studied the relationship between US average yield for the five main crops grown in the United States, corn, soybeans, upland cotton, winter wheat, and spring wheat, and crop condition ratings from 1986 to 2015. Three statistical models were tested, the first one including all categories of …

    uiuc Repository record for US yield forecasting using crop condition ratings (opens in a new tab)

  14. Chamber matching in semiconductor manufacturing using statistical analysis and run-to-run control

    … it is also seeking to increase their overall yield by implementing better monitoring and control of processes and matching the performance of chambers. This thesis project was conducted by F. Haskaraman, T. Nilgianskul and T. Nerurkar as a team to make a series of recommendations to improve …

    mit Repository record for Chamber matching in semiconductor manufacturing using statistical analysis and run-to-run control (opens in a new tab)

  15. Contribution of environmental factors to crop yield variation in the US

    … Yet, even with these increases, there is still variability in crop yield that is present in modem, intensive agricultural systems (Porter and Semenov, 2005). This variability has a negative effect on food security which depends on a minimum amount of food being available at a given point in …

    mit Repository record for Contribution of environmental factors to crop yield variation in the US (opens in a new tab)

  16. Cotton Yield as Related to Selected Physical and Chemical Properties of Soils of the Coastal Plain of Virginia and North Carolina

    … and chemical properties may limit cotton yields. The objective of this study was to; 1) determine influences of soil physical and chemical properties on yield, 2) validate existing preharvest yield estimators, and 3) determine the effect of subsoiling and/or subsurface liming on cotton …

    vt Repository record for Cotton Yield as Related to Selected Physical and Chemical Properties of Soils of the Coastal Plain of Virginia and North Carolina (opens in a new tab)

  17. Topsoil thickness impact on corn, soybean, and switchgrass productivity and soil nutrient management

    … claypan (DTC), is a major contributing factor to variability in corn (Zea mays L.) and soybean (Glycine max [L.]) yield, profit, and nutrient dynamics on claypan soils. Understanding how and when DTC affects these factors across the landscape is crucial for improving management on these …

    missouri Repository record for Topsoil thickness impact on corn, soybean, and switchgrass productivity and soil nutrient management (opens in a new tab)

  18. Elucidating the ecophysiological complexities of maize and soybean intercrop systems to improve ecosystem services

    … unit area, efficient resource-use, and enhanced yield stability in plant mixtures relative to monocultures, particularly by cereal-legume intercrops. The mechanisms behind such advantages have been attributed to the relaxation of competition due to niche complementarity, facilitation, and/or …

    uiuc Repository record for Elucidating the ecophysiological complexities of maize and soybean intercrop systems to improve ecosystem services (opens in a new tab)

  19. Nanoindentation of Gold Single Crystals

    … surface differing by over a factor of two. The yield point also exhibited considerable variation, but the depth of penetration was independent of this elastic–plastic transition. The onset of plastic deformation in these tests is observed at stress levels on the order of the theoretical yield

    vt Repository record for Nanoindentation of Gold Single Crystals (opens in a new tab)

  20. The analysis and optimization of the Alcoa Mill Products supply chain for European customers

    … inventory requirements: customer demand, demand variability, production yield, production yield variability, lead time, lead time variability, and desired customer service levels. Alcoa utilizes inventory as a countermeasure within their supply chain for a variety of reasons. Customers are …

    mit Repository record for The analysis and optimization of the Alcoa Mill Products supply chain for European customers (opens in a new tab)

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