INCORPORATION OF WITHIN-SEASON YIELD GROWTH INTO A MATHEMATICAL PROGRAMMING SUGARCANE HARVEST SCHEDULING MODEL

This study focuses on the development of a optimal harvest scheduling mathematical programming model which incorporates within-season changes in perennial crop yields. Daily crop yield prediction models are estimated econometrically for major commercially grown sugarcane cultivars. This information is incorporated into a farm-level harvest scheduling linear programming model. The harvest scheduling model solves for an optimal daily harvest schedule which maximizes whole farm net returns above harvesting costs. Model results are compared for a commercial sugarcane farm in Louisiana.sugarcane, harvest scheduling, within-season yield growth, Crop Production/Industries,

Stochastic utility-efficient programming of organic dairy farms

Opportunities to make sequential decisions and adjust activities as a season progresses and more information becomes available characterise the farm management process. In this paper, we present a discrete stochastic two-stage utility efficient programming model of organic dairy farms, which includes risk aversion in the decision maker’s objective function as well as both embedded risk (stochastic programming with recourse) and non-embedded risk (stochastic programming without recourse). Historical farm accountancy data and subjective judgements were combined to assess the nature of the uncertainty that affects the possible consequences of the decisions. The programming model was used within a stochastic dominance framework to examine optimal strategies in organic dairy systems in Norway

THE INVESTMENT POTENTIAL OF WARM-SEASON GRASSES FOR HILL-LAND BEEF PRODUCERS

The investment potential of warm-season grasses is compared with that of cool-season grasses, with special emphasis on hill-land beef production. In addition to evaluating relative costs and returns for various grazing systems, a sensitivity analysis is conducted. The results are then illustrated for a representative hill-land farm in West Virginia, and both an optimal and a set of quasi-optimal solutions are generated within the linear programming framework. In general, warm-season grasses are found to be a superior investment alternative for hill-land beef producers.Livestock Production/Industries,

Stochastic Utility-Efficient Programming of Organic Dairy Farms

Opportunities to make sequential decisions and adjust activities as a season progresses and more information becomes available characterize the farm management process. In this paper, we present a discrete stochastic two-stage utility efficient programming model of organic dairy farms, which includes risk aversion in the decision maker's objective function as well as both embedded risk (stochastic programming with resource) and non-embedded risk (stochastic programming without recourse). Historical farm accountancy data and subjective judgments were combined to assess the nature of the uncertainty that affects the possible consequences of the decisions. The programming model was used within a stochastic dominance framework to examine optimal strategies in organic dairy systems in Norway.agriculture, risk analysis, stochastic programming, stochastic dominance, organic farming, Livestock Production/Industries, Q12, C61,

Nutrition in Central Uganda - An Estimation of a Minimum Cost Healthy Diet

This study makes use of linear programming methodology to design a minimum cost diet for the Central Ugandan region. We used a set of constraints on recommended levels of daily nutrient intake, recommended proportions of groups of foods, as well as preferences and food availability in Central Uganda, to design a minimum cost healthy daily diet. Several models were considered, each forcing at least one of the following frequently consumed staple foods: matooke, cassava, and rice. We found that the minimum costs of the optimal diets were lowest in the planting season of March and highest in the harvesting season of December.Central Uganda, minimum cost diet, malnutrition, linear programming, Agricultural and Food Policy, Consumer/Household Economics, Food Consumption/Nutrition/Food Safety, Food Security and Poverty, Health Economics and Policy,

NCAA college football pseudo-playoff non-conference games scheduling via constraint and Integer Programming

NCAA Division I-A College Football post-season play is currently determined by a controversial BCS Bowl system. Due to the massive differences in compensation for playing in differing bowl games, heated debates arise every year as to who deserves places in the prestigious BCS bowl games. Without a round-robin approach, in which every team plays every other, there would be no absolute measure of which teams deserve BCS births. We developed a scenario involving a pseudo-playoff system to be implemented at the end of regular season conference play to create unique matchups to increase comparisons of teams across the nation. The system was modeled twice, once using Integer Programming techniques and again with Constraint Programming techniques. Instances of the two models were implemented on the 2010 NCAA football season and compared on their performance. Lastly, we discussed how certain matchups of the resulting solutions would have affected the outcomes of the season and perhaps the assignment of post-season bowl games

IMPLICATIONS OF TEMPERATURE-ACTIVATED POLYMER SEED COATING FOR CROP PRODUCTION IN THE NORTHERN CORN BELT

The value of an innovative new seed technology is evaluated in a discrete stochastic programming framework for a representative farm in the northern Corn Belt. Temperature-activated polymer coated seed has the potential to increase net returns by reducing yield loss due to delayed planting and by increasing the use of longer season varieties. A biophysical simulation model was used to estimate the impact of polymer coated seed on corn and soybean yields and on field day availability for five planting periods, two crop varieties and two tillage systems on two different soils under varying weather conditions. Results show that polymer coated seed increases net returns in corn by $2.50-$3.65 per acre and in soybeans by $4.50-$9.70 per acre.mathematical programming, biophysical simulation, corn, soybean, Crop Production/Industries,

The Center for Performing Arts at Governors State University Announces 2005-2006 Season Performances

The Center for Performing Arts at Governors State University announces its 2005-2006 season programming