Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 76 for “"Corn Yield"”.
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A Comparison of Corn Yield Forecasting Models
… is to compare and analyze several different yield forecasting methods. The study analyzes corn yields in Ohio and South Dakota for the years 1986 through 2012. A base model, with a trend and state dummy variable is developed. Two competing models, one with objective variables and one with …
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A Comparison of Corn Yield Forecasting Models
… is to compare and analyze several different yield forecasting methods. The study analyzes corn yields in Ohio and South Dakota for the years 1986 through 2012. A base model, with a trend and state dummy variable is developed. Two competing models, one with objective variables and one with …
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Plant-process model corn yield forecasts for Iowa
<p>The objective was to develop a plant-process corn yield forecasting model and examine how effective these forecasts might be in improving corn yield forecasts made at the state and crop reporting district level in Iowa. This study was conducted in light of recent budget cuts by the National …
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Three essays on biofuel, weather and corn yield
… standards (RFS) and its impact on biofuel and corn prices, and the impacts of weather and soil moisture on corn yield in the Midwest. Chapter 2 illustrates the hierarchical competition of U.S. corn ethanol, Brazilian sugarcane ethanol and biodiesel to meet the RFS mandates and explained the …
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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
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Corn yield following a delayed application of nitrogen
Delaying some of the N supplied to the corn crop is considered a way to increase N uptake and yield and to limit N losses, but the length of the delay may increase the risk of yield loss. We conducted a 3-year experiment at Urbana, Illinois in which half of the N (112 kg N ha-1) was injected as UAN …
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Corn Yield Prediction Using Crop Growth and Machine Learning Models
… while another area of interest includes yield prediction. Humidity, air and soil temperature, solar radiation, and wind speed are some key weather elements monitored in smart farms. We introduce a mechanistic crop growth model to predict crop growth and subsequent yield, subject to …
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Data driven modeling of corn yield: a machine learning approach
… data in the agricultural domain to improve yields. Tremendous amounts of data are generated on farms, ranging from amount of water used for irrigation to the quantities of fertilizers applied. To our knowledge, this study is the first that uses high-resolution crop data (280,000 points at …
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Effects of Anhydrous ammonia application timing on corn yield and profitability
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms
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Managing the continuous corn yield penalty with crop and residue management
Corn (Zea mays L.) grown in rotation with soybean [Glycine max (L.) Merr.] generally yields more than corn grown continuously, with the latter designated the continuous corn yield penalty (CCYP). Due to global food security concerns and corn’s versatility in food products, animal feed, and …
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Stewart's and Goss' Wilts of Corn: Yield Reduction and Genetics of Resistance
… al., 1973) are important bacterial diseases of corn. These diseases can affect corn plants at any stage of the plant growth. Plants infected at seedling stages often are stunted and may fail to produce ears. There is evidence that dent corn is more resistant than either flint or sweet corn. …
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Corn yield and water use as influenced by split applications of nitrogen fertilizer
Call number: LD2668 .T4 1978 A51
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Corn yield and water use as influenced by split applications of nitrogen fertilizer
Call number: LD2668 .T4 1978 A51
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Maximizing corn yield potential through proper rate, placement, and timing of nitrogen fertility
Corn (Zea mays L.) has been a large part of American agriculture dating back to 1000 BC when flint corn arrived from Mexico, followed by dent corn in 1500 AD. Over the years, the improvement in these cultivars with better breeding methods and genetics in combination with crop management factors has …
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Gray leaf spot of corn: yield loss and evaluation of germplasm for resistance
Gray leaf spot (GLS) of corn (Zea mays L.), caused by the fungus Cercospora zeaemaydis (CZM) (Tehon and Daniels) has increased in incidence and severity with increasing use of no-tillage and continuous corn practices. This disease can be yield limiting. Corn hybrids were evaluated under natural …
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Effects of intercropping berseem clover on a primary oat crop and succeeding corn yield
Some farmers in Iowa are already incorporating berseem clover into their intercropped and rotational systems. However, in Iowa many farmers are still skeptical of using Berseem clover because of uncertainty of its economic benefits and because of lack of information and research about its cropping …
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Simulation of corn yield by a water management model for a Coastal Plain soil in Virginia
… of 9.47 cm for the three years of record. The YIELD version of DRAINMOD was used to predict corn yield for the subirrigation/controlled drainage site. Average corn yield predictions by the model agreed reasonably well with the observed average corn yield data with relative errors of 19.2, 4.4, …
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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 …
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Investigation of climate variability and climate change impacts on corn yield in the Eastern Corn Belt, USA
… demand for both food and biofuels requires more corn production at global scale. However, current corn yield is not able to meet bio-ethanol demand without jeopardizing food security or intensifying and expanding corn cultivation. An alternative solution is to utilize cellulose and hemi-cellulose …
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