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UGA Extension publications offer research-based, free information to Georgians on topics including agriculture, the environment, families, food, lawn and garden,
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  • Nutritional Response Determination Optimization Workbook v. 1.0 (B 1468)

    An Excel workbook, Nutritional Response Determination Optimization (NuRDO). has been developed to simulate the optimal number or nutrient levels and replicates per level when planning nutritional requirement studies. With NuRDO, researchers can simulate data from what they think is the real shape of the response curve. They can then run up to 1,000 simulated experiments to see the combination of levels and replications that minimize the standard error or the requirements and other parameters for the broken-line models. SK and hyperbolic models. For example, consider the BLL model with a "true" requirement (REQ) of 5.2, a maximum of 99 units, a rate constant of 18.6 and a CV of 10%:For 5 input levels and 10 reps per level, the estimated REQ ± SD is equal to 5.196±0. 106, for 10 levels & 5 reps each, the REQ is 5.231±0 .157. The workbook can be used in this manner to determine the best combination of levels and reps to improve the chances or getting the best results possible from experiments. Published on Feb 28, 2017.

  • Maximum Ingredient Level Optimization Workbook for Estimating the Maximum Safe Levels of Feedstuffs (B 1469)

    New feed ingredients are evaluated and introduced to the feed industry every year. The evaluation process is necessary and includes feeding birds different levels of the test ingredient to estimate the maximum safe level (MSL). The MSL is usually estimated with a multiple range test, ignoring the fact that this test is inappropriate for this type of feeding trials where the independent variable is continuous. This paper describes the use of the Maximum Ingredient Optimization Workbook (MIOW) in estimating the MSL and determining the optimal combination or ingredient levels and replications for most efficient experimental design of future feeding trials. The MIOW calculates the results and the related descriptive statistics (SD, SE, Cl, and R2) based on simulation and non-linear regression models (broken-line linear and broken-line quadratic models). Published on Feb 28, 2017.

  • Giant Miscanthus Grass as an Alternative Bedding in Poultry Houses (B 1470)

    Pine shavings are the most popular bedding material used in poultry houses. Due in part to the expansion of the poultry industry, pine shavings are in short supply, and alternative bedding materials are being tested.

    Giant miscanthus grass (GMG) is one such material. GMG is a perennial grass that is dried and chopped into one-inch pieces for bedding. When compared to pine shavings, GMG is a good option for bedding material in poultry houses. Published on Feb 28, 2017.

  • Commercial Tomato Production Handbook (B 1312)

    This publication is a joint effort of the seven disciplines that comprise the Georgia Vegetable Team. It is comprised of 14 topics on tomato, including history of tomato production, cultural practices, pest management, harvesting, handling and marketing. This publication provides information that will assist producers in improving the profitability of tomato production, whether they are new or experienced producers. Published on Jan 31, 2017.

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