Add to ORKGA model of local elevator basis levels was developed to quantify the response of corn, soybean and hard red spring wheat basis to a set of predefined predictors. Basis data from 2013 ? 2016 for 12 grain elevators in Eastern North Dakota were collected. A maximum likelihood mixed effect model was used to test the significance of alternative predictor variables and further divided the residuals into temporal and spatial components. The results indicate that the base model was able to explain 57 to 87 percent of the local basis variability for the selected crops at the individual elevators. In addition, the findings suggest that the temporal portion of the remaining variability is greater than the spatial variability for corn and soybean, bu...
In North Dakota, soybean is typically planted in mid to late May; however, a late spring frost or fl...
Enterprise budgets were developed for non-irrigated red and irrigated russet potato production, base...
Recent years have witnessed an increase in agricultural commodity price volatility. This thesis anal...
The impacts of climate change in agriculture is a growing concern. The agricultural sector plays a s...
For successful marketing and merchandising in commodity markets, it is important to understand the r...
In the Midwest, it can be beneficial to interseed cover crops into corn (Zea mays L.) since there is...
Corn is a vital commodity in both production and the trade market. Being one of the most abundant cr...
The previous year's basis and 2 to 5-year historical moving averages were used to forecast preharves...
North Dakota soybean [Glycine max (L.) Merrill] management varies across the state, resulting in yie...
Understanding the relationship between crop production and wildlife habitat in North Dakota - which ...
Recent interest in utilizing corn (Zea Mays L.) stover for cellulosic ethanol and supplements for di...
With the increase in global population and growing demand for food, there has been considerable rese...
Using the Best Bid Offer data from the CME, this thesis decomposes the Bid-Ask Spread (BAS) in the C...
The cropping patterns, grain marketing flows, and transportation needs have changed in South Dakota ...
The three marketing strategies, buying a put option, cash sale at harvest, and cash sale in June aft...
In North Dakota, soybean is typically planted in mid to late May; however, a late spring frost or fl...
Enterprise budgets were developed for non-irrigated red and irrigated russet potato production, base...
Recent years have witnessed an increase in agricultural commodity price volatility. This thesis anal...
The impacts of climate change in agriculture is a growing concern. The agricultural sector plays a s...
For successful marketing and merchandising in commodity markets, it is important to understand the r...
In the Midwest, it can be beneficial to interseed cover crops into corn (Zea mays L.) since there is...
Corn is a vital commodity in both production and the trade market. Being one of the most abundant cr...
The previous year's basis and 2 to 5-year historical moving averages were used to forecast preharves...
North Dakota soybean [Glycine max (L.) Merrill] management varies across the state, resulting in yie...
Understanding the relationship between crop production and wildlife habitat in North Dakota - which ...
Recent interest in utilizing corn (Zea Mays L.) stover for cellulosic ethanol and supplements for di...
With the increase in global population and growing demand for food, there has been considerable rese...
Using the Best Bid Offer data from the CME, this thesis decomposes the Bid-Ask Spread (BAS) in the C...
The cropping patterns, grain marketing flows, and transportation needs have changed in South Dakota ...
The three marketing strategies, buying a put option, cash sale at harvest, and cash sale in June aft...
In North Dakota, soybean is typically planted in mid to late May; however, a late spring frost or fl...
Enterprise budgets were developed for non-irrigated red and irrigated russet potato production, base...
Recent years have witnessed an increase in agricultural commodity price volatility. This thesis anal...