D.H. Sigler
Texas A&M University
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Featured researches published by D.H. Sigler.
Journal of Animal Science | 2012
J.D. Mawyer; C.A. Cavinder; M.M. Vogelsang; D.H. Sigler; C.C. Love; Steven P. Brinsko; T.L. Blanchard; D.D. Varner; Carolyn E. Arnold; S.R. Teague; R.K. Gordon
Stallions (n = 8) were implanted with a thermal sensory device in the muscle of the neck and the subcutaneous tissue of the scrotum and then assigned to either a nonexercise (Non-EX; n = 4) or exercise (EX; n = 4) group. A motorized equine exerciser was used to work EX stallions 30 min/d for 4 d/wk during a 12-wk period from July through October 2010. Temperatures (subcutaneous scrotal, intramuscular neck, and rectal) were recorded at 0, 22, and 30 min after the start of exercise, as well as 60 and 120 min post-exercise. Hourly ambient temperature and relative humidity data were also obtained. Semen was collected at 0, 4, 8, and 12 wk and analyzed for volume, sperm concentration, total sperm numbers, percentages of total and progressively motile sperm, sperm morphologic characteristics, and sperm DNA quality. No effect (P > 0.05) of exercise was observed on any of the measured semen variables. Implantation of thermal sensory devices had no demonstrable acute or chronic effects on the scrotal or neck tissue, indicating that the thermal sensory devices are a safe and effective way to measure subcutaneous scrotal and neck temperatures. At 22 and 30 min of exercise, rectal and neck temperatures increased (P < 0.0001) approximately 1.9 and 2.4°C, respectively, and scrotal temperatures simultaneously increased, although not significantly (P = 0.33), approximately 0.8°C. Correlations existed between scrotal, neck, rectal, and ambient temperatures, with the correlation between scrotal and rectal temperatures being greatest (r(s) = 0.76; P < 0.0001). Although moderate exercise for a short duration in extreme heat and humidity did significantly increase core body temperatures in stallions, scrotal temperatures did not significantly increase, and sperm parameters were unaffected.
Journal of Animal Science | 2013
V. V. Cordero; C.A. Cavinder; L. O. Tedeschi; D.H. Sigler; M.M. Vogelsang; Carolyn E. Arnold
Mathematical nutrition models have been developed for beef and dairy cattle to estimate dietary energy intake needed to change BCS. Similar technology has not been used to improve nutrition and feeding strategies for horses. An accurate equine nutrition model may enhance feeding management and reduce the costs of unnecessary overfeeding and promote an optimal level of fatness to achieve reproductive efficiency. The objectives of this study were to develop and evaluate a mathematical nutrition model capable of accurately predicting dietary energy changes to alter BW, rump fat (RF) thickness, and overall body fat (BF), which is needed to maximize profitability and productivity of mares. Model structure was similar to a previously developed model for cattle, and literature data for Quarter Horse mares were used to parameterize the horse model in predicting DE requirement associated with BCS changes. Evaluation of the horse model was performed using an independent dataset comprising 20 nonlactating Quarter Horse mares. Pretrial BCS was used to assign mares to 1 of 4 treatment groups and fed to alter BCS by 1 unit as follows: from 4 to 5 (Group 1), 5 to 4 (Group 2), 6 to 7 (Group 3), and 7 to 6 (Group 4). The BCS, RF thickness, and BW were measured for each mare before the commencement of the feeding trial and once per week thereafter for the duration of a 30-d feeding trial. Initial and target BCS, percent BF, and BW data were collected from each mare and inputted into the model. Mares were individually fed according to the DE suggestions proposed by the model to achieve the targeted BCS change within 30 d. The coefficient of determination of observed and model-predicted values (model precision) was 0.907 (P < 0.001) for BCS, 0.607 (P < 0.001) for percent BF, and 0.94 (P < 0.001) for BW. The BCS was highly correlated to percent BF (r = 0.808; P = 0.01). We concluded the reparameterized model was reliable to predict changes in BW and BCS, but more work is needed to improve the predictions of initial and final body composition.
Journal of Equine Veterinary Science | 2011
J.D. Mawyer; R.K. Gordon; C.A. Cavinder; M.M. Vogelsang; D.H. Sigler; C.C. Love; Steven P. Brinsko; T.L. Blanchard; S.R. Teague
Journal of Equine Veterinary Science | 2009
Shannon M. Garey; T H Friend; D.H. Sigler; Luc Berghman; S.C. Tutt; A.D. Hayes; D. Golden; K. Johnson-Schroeder
Journal of Equine Veterinary Science | 2014
R.K. Gordon; J.D. Mawyer; C.A. Cavinder; D.H. Sigler; T.L. Blanchard; Cc Love; Steven P. Brinsko; Carolyn E. Arnold; S.R. Teague; M.M. Vogelsang
Journal of Equine Veterinary Science | 2013
S.K. Beeson; W.J. Weber; Julia H. Wilson; D.H. Sigler; E.C. Glunk; K.L. Martinson
Journal of Equine Veterinary Science | 2009
A.D. Hayes; D.H. Sigler; Noah D. Cohen; C.A. Cavinder; P.G. Gibbs; C.K. Larson
Journal of Equine Veterinary Science | 2017
J. Zoller; C. Cavinder; D.H. Sigler; L. O. Tedeschi; J. Harlin
Journal of Equine Veterinary Science | 2017
J. Zoller; C.A. Cavinder; D.H. Sigler; L. O. Tedeschi; J. Harlin
Journal of Equine Veterinary Science | 2017
C.S. Hyatt; D.H. Sigler; M.M. Vogelsang