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New ornamentals have long been considered the lifeblood of the green industry. This publication contains recommendations for best-performing new annuals based on research conducted at the Trial Gardens at the University of Georgia, showcasing the plants that were awarded the Classic City Award in 2016.
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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.
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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).
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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.
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Since 2014, boxwood blight has been steadily spreading throughout Georgia landscapes and threatening large and economically important boxwood plantings. This publication provides alternative plants to replace boxwood in landscapes across Georgia. It offers updated information on new cultivars and cautions against use of plants on the GA-EPPC invasive plant list as well as species and cultivars affected by common pests and diseases.
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AP 101-8
2016 Georgia Corn Performance Tests
In this research report, the results of the 2016 corn performance trials are presented. Short-season and mid-season hybrids were planted at Tifton, Plains, and Midville in the Coastal Plain region, at Griffin in the Piedmont region, at Calhoun in the Limestone Valley region, and at Blairsville in the Mountain region. Hybrids used for silage were evaluated at Tifton, Griffin, Calhoun, and Blairsville.
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This circular is a review of water quality standards, calculations, and recommendations for water that will be used for irrigation of blueberries.
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To have a successful equine breeding program, producers must successfully
manage animals both pre- and post-breeding to ensure delivery of a healthy foal
while maximizing the health of the mare. The following information is designed
give a basic understanding of how to identify pregnant mares, to outline major
events in pregnancy development, and to identify some primary issues that can
cause complications in pregnant mares.|