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    Experience our stories through videos that highlight our people, projects and passions in action.

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    Check out our podcast here
  • Expert Resources

    Expert Resources


    From farms and gardens to families and finances, our expert resources empower Georgians with trustworthy, practical science.

    Gardening
    Invasive species
    Food and food safety
    Ants, termites and other pests
    Pollinators
    Livestock
    Emergency preparedness
    Home safety and maintenance
    Health, family and finances
    Nutrition
    Water quality
    Lawn maintenance and landscaping
    Turfgrass
    View all topics

    What is an Expert Resource?


    We publish unbiased, research-backed expert advice to empower Georgians with practical, trustworthy information they can trust.

    These resources are written and reviewed by experts in the UGA College of Agricultural and Environmental Sciences and the UGA College of Family and Consumer Sciences.

    Learn how we produce science you can trust
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  • Setting Goals to Improve Breeding Strategies

    B 1213

    Setting Goals to Improve Breeding Strategies

    Problem identification is the first step in establishing objectives and goals to improve reproductive management in a dairy herd. Management is determining what must be done and achieving results through the efforts of yourself and your employees. Use the following worksheet to evaluate herd reproductive performance and set goals to improve your breeding strategies. Then develop a tactical plan to achieve these goals using the second worksheet. List those involved on your management team and their responsibilities.

    William Graves

    |

    March 28, 2017
  • B 1212-SP

    Estrategias de Detección de Celo para Ganado Lechero

    La detección de celo es el primer paso para hacer que un animal se preñe. De acuerdo con los registros de la Asociación Nacional para la Información de Hatos Lecheros (DHIA por sus siglas en inglés) los productores en Georgia solo ven un tercio de los celos. Los celos perdidos son uno de varios factores que contribuyen a intervalos largos entre partos. Al aumentar el número de celos observados es posible disminuir el tiempo entre partos.

    [When the time comes to examine a herd’s dairy reproductive management program, producers often want to discuss low conception rates. In most cases, however, inadequate heat detection is the much greater reproductive problem. Heat detection is the first step to getting an animal bred. According to DHIA records, producers in Georgia are only seeing a third of their heats. Missed heats are one of several factors that contribute to long calving intervals. By increasing the number of heats observed, it is possible to shorten the interval between calves.]

    Jonael Bosques Mendez and William Graves

    |

    March 28, 2017
  • Dairy Reproduction Benchmarks

    B 1210

    Dairy Reproduction Benchmarks

    This publication provides reproduction benchmarks for Holstein herds processed by Dairy Records Management Systems. Some examples of using and applying benchmark values are provided; however, this publication should be viewed primarily as a comprehensive resource for reproduction benchmark values. These benchmarks will be useful to dairy producers, dairy managers, consultants, veterinarians and agribusiness representatives as a first step in the analysis of herd management practices.

    Warren D. Gilson, Lane O. Ely, James W. Smith, and William Graves

    |

    March 28, 2017
  • B 1211

    Solving Postpartum Breeding Problems

    Early identification and diagnosis of reproductive problems through a herd health program are an essential part of successful dairy management. A cow must be pregnant by 85 days postpartum to achieve a 12-month calving interval. This is the backbone of sound reproductive management in an economical dairy business. Many factors during the dry period, parturition and early lactation can lower reproductive efficiency. These include mastitis, cystic ovaries, lack of body condition, retained placentas and anestrus. These postpartum problems lengthen calving intervals and affect reproductive efficiency.

    William Graves

    |

    March 28, 2017
  • B 1212

    Heat Detection Strategies for Dairy Cattle

    When the time comes to examine a herd’s dairy reproductive management program, producers often want to discuss low conception rates. In most cases, however, inadequate heat detection is the much greater reproductive problem. Heat detection is the first step to getting an animal bred. According to DHIA records, producers in Georgia are only seeing a third of their heats. Missed heats are one of several factors that contribute to long calving intervals. By increasing the number of heats observed, it is possible to shorten the interval between calves.

    William Graves

    |

    March 28, 2017
  • B 1211-SP

    Resolviendo Problemas Después del Parto

    La identificación y el diagnóstico temprano de problemas reproductivos relacionados a nuestro programa de salud del hato es una parte esencial de un manejo eficiente de nuestra producción lechera. Muchos factores durante el periodo horro (seco), el parto y la lactancia temprana pueden disminuir la eficiencia reproductiva. Estos incluyen la mastitis, quistes ováricos, falta de condición física (body condition), placentas retenidas y anestro. También, ciertos desordenes pueden ocurrir simultáneamente. Por ejemplo, una vaca con fiebre de leche frecuentemente padece de una placenta retenida. Estos problemas post-parto alargan los intervalos entre partos y afectan la eficiencia reproductiva.

    Jonael Bosques Mendez and William Graves

    |

    March 28, 2017
  • dairy cows eat in a barn setting

    B 1227

    Dairy Herd Synchronization Programs

    This publication describes dairy herd synchronization programs will help improve your reproductive management efficiency. Try the one that fits your management system the best. Both estrus and ovulation synchronization programs will help get more animals bred more efficiently. Feeding open animals extra days can be costly to producers. Identify open animals and pick the best breeding alternative for your operation.

    William Graves

    |

    March 28, 2017
  • Consumer Demand for Fresh Fruits and Vegetables in the U.S. (1960-1993)

    RB 431

    Consumer Demand for Fresh Fruits and Vegetables in the U.S. (1960-1993)

    Price and expenditure elasticities at the retail level between 1960 and 1993 were estimated for 11 fresh fruits and 10 fresh vegetables by employing a composite demand system approach and using annual data. Most fresh fruits and vegetables were found to respond significantly to changes in their own prices but insignificantly
    to changes in expenditures. The study partially incorporated the interdependent demand relationships between fresh fruits (vegetables) and all other commodities, yet effectively avoided the problems of insufficient degrees of freedom.

    Chung-Liang Huang and James E. Epperson

    |

    March 28, 2017
  • Georgia 2016 Soybean, Sorghum Grain and Silage, and Summer Annual Forages Performance Tests

    AP 103-8

    Georgia 2016 Soybean, Sorghum Grain and Silage, and Summer Annual Forages Performance Tests

    This research report presents the results of the 2016 statewide performance tests of soybean, sorghum grain and silage, and summer annual forages. The tests for various evaluations were conducted at several or all of the following locations: Tifton, Plains, and Midville in the Coastal Plain region; Griffin and Athens in the Piedmont region; and Calhoun in the Limestone Valley region.

    Agronomic information, such as plant height, lodging, and disease occurrence, is listed along with the yield data. Information concerning planting and harvest dates, soil type, and culture and fertilization practices used in each trial is included in footnotes. Since the average yield for several years gives a better indication of a variety’s potential than one year’s data, multiple-year yield summaries have been included.

    John Gassett, Dustin G Dunn, Henry Jordan, and James LaDon Day

    |

    March 23, 2017
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