UGA Extension publications offer research-based, free information to
Georgians on topics including agriculture, the environment, families, food, lawn and garden,
Several high-quality publications are available for purchase by the public. Order now!
Native Plants for Georgia Part I: Trees, Shrubs and Woody Vines
Conversion Tables, Formulas and Suggested Guidelines for Horticultural Use
Vegetable Garden Calendar
Commercial Tomato Production Handbook
Nutritional Response Determination Optimization Workbook v. 1.0
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
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
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.
Spanish Series: Daños Abioticos y Anomalias de Céspedes en Georgia
Los céspedes pueden ser atacados por agentes bióticos (vivientes) y abióticos (no-vivientes). Los agentes bióticos incluyen patógenos (hongos, bacterias, virus, citoplasma etc) y plagas como nematodos, insectos, ácaros, moluscos y vertebrados (roedores, pájaros etc.). Los factores abióticos incluyen: condiciones climáticas como las temperaturas extremas, el exceso o deficiencia de agua, luz o nutrientes, suelo compacto, sequía, estancamiento de agua y/o prácticas de cultivo adversas. Estos factores pueden ser el resultado de una interacción que ha existido por un periodo largo de tiempo entre la planta y uno o más factores como la falta de espacio para un crecimiento radicular óptimo, la presencia de niveles crónicos de contaminantes del aire o agua.
[Turfgrass stands can be injured and damaged by biotic (living) and abiotic (non-living) agents. Most abiotic diseases cause generalized symptoms such as wilting, yellowing, thinning and the development of smaller than normal grass blades, limited root growth or slow growth. Based solely on symptoms, however, determining whether the condition is caused by a biotic or an abiotic agent can be challenging. In many cases, a proper diagnosis of abiotic diseases requires thorough examination of the site, knowledge of relevant past and present environmental conditions, in-depth knowledge of plant species biology, site management history, and an orderly series of tests to determine possible causes.] Published on Jan 31, 2017.