Induction of ovulation in seasonally anestrous mares under ambient lights using recombinant equine FSH (reFSH)

Traditionally, mares are put under artificial lights to advance the first ovulation of the year. The aim of the present study was to determine the efficacy of recombinant equine FSH (reFSH) in stimulating follicular development and advancing the first ovulation of the year in seasonally anestrous mares compared with anestrous mares given a placebo. Both groups of mares were housed under ambient light conditions. Sixty deep anestrous mares of light horse breeds (follicular diameters ≤ 20 mm in diameter and progesterone <1 ng/mL) were maintained under a natural photoperiod at three different sites: University of California, Davis, Colorado State University, and University of Kentucky Gluck Centre. Twenty mares at each site were randomly allocated to receive either 0.65 mg of reFSH (group A: treatment; n = 10) or a placebo (group B: control; n = 10) twice daily by im beginning on January 31. Treatment continued until one or more preovulatory follicles developed or up to a maximum of 15 days. Randomized treatments were blinded. Follicular development was closely monitored by transrectal ultrasonography. When the largest follicle reached ≥ 35 mm in diameter, reFSH treatment was discontinued and an injection of 2500 international units of hCG was administered iv 36 hours later to induce ovulation. Jugular blood samples were collected daily from all mares at University of California, Davis, and processed for LH, FSH, progesterone, estradiol-17β, and immunoreactive-inhibin by RIA. All 30 mares receiving reFSH (group A) developed follicles ≥ 35 mm within 7.4 ± 1.6 days of treatment. Twenty-three of the 30 reFSH-treated mares (group A) ovulated within 72 hours after hCG administration. In contrast, mares in group B (placebo, control) did not exhibit significant follicular development and none ovulated within the 15-day observation period. Mares in group A had significantly higher plasma levels of FSH, estradiol-17β, and immunoreactive-inhibin during treatment but did not exhibit a preovulatory LH surge. Mares administered reFSH returned to anestrus and spontaneously ovulated at a similar calendar date as control mares. These data indicate that reFSH was effective in stimulating the development of ovarian follicles and advancing the first ovulation of the year in seasonally anestrous mares under ambient lights but was not successful in inducing continued cyclicity.

Modeling the microbial loop: An estuarine modeler's perspective

Contemporary models of the microbial loop should be critically evaluated relative to their compartmental structures, flow networks, and treatment of upper ocean physics (vertical and horizontal boundary conditions). The development of new models that include better representation of the autotrophic components and mixotrophy/competitive interactions is warranted. The mathematical structures should reflect contemporary knowledge of controls (e.g., multiple resource limitation), thresholds and limits, and be based on testable assumptions. Stochastic processes must at some point be included to evaluate known patterns of spatial and temporal variability.

Synergism between research and simulation models of estuarine microbial food webs

Construction of mathematical simulation models helps to organize current information and extend inferences from available data. During the past two decades, microbial ecology has undergone rapid developments in both quantity and quality of available data. In particular, considerable advances have been made in our knowledge of microbial food web dynamics in the Duplin River watershed at Sapelo Island, Georgia. Here we provide examples of how modeling and microbial ecology have interfaced. In the early 1970s, construction of a 14-compartment model of carbon flow through a salt marsh ecosystem aided in directing method development and field experiments on the sediment microbial community. In turn, the results of field experiments corroborated the model's postulated controls on the community. Also, during the past 12 years we have developed a series of simulation models reflecting the growing information on the aquatic microbial food web. Early models provided evidence for the microbial loop but illustrated the paucity of knowledge concerning controls for bacterial growth on detritus. Results from newer methods in microbial ecology and studies from the Duplin River have allowed us to construct a model which provides realistic simulations but is also highly sensitive to certain parameter value changes (e.g., in organic matter availability and grazing by protozoans). Thus improvements in model structure and corroboration of the models with extant data have been closely tied to methodological and conceptual advances in microbial ecology. The relationship is viewed as synergistic, as needs for model parameter values and equation forms have directed further development of methods, experimentation, and field observations.