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Department of Animal Sciences

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https://hdl.handle.net/10217/100318

These digital collections include faculty publications and theses and dissertations from the Department of Animal Sciences, and proceedings of the "Beef Cow Efficiency Forum" (1984). Due to departmental name changes, materials from the following historical departments are also included here: Animal Husbandry; Animal Nutrition.

See also the archival collection of Dr. Temple Grandin, a Colorado State University professor of animal sciences and world-renowned autism spokesperson.

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Browsing Department of Animal Sciences by Author "Archibeque, Shawn L., committee member"

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    Examining in vitro and in vivo characteristics of Intellibond and sulfate forms of copper, zinc, and manganese
    (Colorado State University. Libraries, 2015) Caldera, Emmanuel, author; Engle, Terry E., advisor; Wagner, John J., committee member; Archibeque, Shawn L., committee member; Rollin, Bernard, committee member
    Trace minerals have long been identified as essential components in the diets of domestic livestock species. The mechanisms underlying Cu, Zn, and Mn absorption are complex, but research has demonstrated interesting opportunities to optimize the involvement of trace minerals in ruminant nutrition. To further our understanding of absorption and retention of modern forms of trace minerals 4 experiments were conducted to examine in vitro and in vivo characteristics of Intellibond (IB) and sulfate forms of copper (Cu), zinc (Zn), and manganese (Mn). In experiment 1, in vitro incubations were used to examine the effects of pH and mineral concentration and source (IB vs sulfate) on Cu, Zn, and Mn solubility. Solubility was measured at elemental concentrations ranging from 0.1 to 10.0 mg of product/ml (0.1, 1.0, and 10.0 mg/ml) at: 1) pH 5.5 (in McDougal's artificial saliva mixture 0.1 M NaHCO3-Na2HPO4KCl- MgSO4*7H2O-urea buffer) and 2) pH 2.0 (in McDougal's artificial saliva mixture 0.1 M NaHCO3-Na2HPO4KCl- MgSO4*7H2O-urea buffer). On average, the overall solubility of Cu, Zn, and Mn, from both trace mineral sources were similar at a pH 5.0 and 2.0. In Experiment 2 eight cross-bred steers were utilized to estimate the duodenal appearance of Cu, Zn, and Mn in steers post ruminal administration of IB and sulfate forms of Cu, Zn, and Mn in steers fed a corn silage and steam flaked corn-based diet. Treatments consisted of 1) 60 mg of Zn/kg DM from ZnSO4; 20 mg of Cu/kg DM from CuSO4; 40 mg of Mn/kg DM from MnSO4, and 2) 60 mg of Zn/kg DM from tetra-basic ZnCl; 20 mg of Cu/kg DM from tri-basic CuCl; 40 mg of Mn/kg DM from tri-basic MnCl. Individual trace mineral treatments were thoroughly mixed with 0.23 kg of ground corn and administered as a single dose via the rumen fistula. Rumen and duodenal samples were obtained at -4, -2, 0 h, pre dosing and at 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, and 42 h post dosing. Duodenal appearance of Cu, Mn, and Zn post ruminal administration of different trace mineral sources were similar across treatments. In experiment 3, eight cross-bred steers were utilized in a 19 d experiment to investigate the effects of trace mineral source on apparent absorption and retention of Cu, Zn, and Mn in steers fed a corn silage and steam flaked corn-based diet. Steers were blocked by BW and randomly assigned to one of the 2 treatments. Treatments consisted of: 1) 30 mg of Zn/kg DM from ZnSO4; 10 mg of Cu/kg DM from CuSO4; 20 mg of Mn/kg DM from MnSO4; and 2) 30 mg of Zn/kg DM from tetra-basic ZnCl; 10 mg of Cu/kg DM from tri-basic CuCl; 20 mg of Mn/kg DM from tri-basic MnCl. Total fecal and urine output was measured daily for all steers during the 5 d collection period. Dry matter disappearance, apparent absorption, and apparent retention of Cu, Zn, and Mn were similar across treatments. In experiment 4, four-hundred cross-bred steers (initial BW 335 ± 9.6 kg) were utilized to investigate the effects of supplemental Zn, Cu, and Mn concentration and source on performance and carcass characteristics of feedlot steers fed a high concentrate steam flaked corn-based finishing diet for 159 d and zilpaterol hydrochloride for the last 21 d prior to slaughter. Treatments consisted of: sulfate) 90 mg of Zn/kg DM from ZnSO4; 17.5 mg of Cu/kg DM from CuSO4; 48 mg of Mn/kg DM from MnSO4; IB-1) 30 mg of Zn/kg DM from Zn Hydroxychloride; 10 mg of Cu/kg DM from basic Cu chloride ; 20 mg of Mn/kg DM from Mn Hydroxychloride; IB-2) 45 mg of Zn/kg DM from Hydroxychloride; 12.5 mg of Cu/kg DM basic Cu chloride; 29.5 mg of Mn/kg DM from Mn Hydroxychloride; IB-3) 60 mg of Zn/kg DM from Zn Hydroxychloride; 15 mg of Cu/kg DM from basic Cu chloride; 39 mg of Mn/kg DM from Mn Hydroxychloride ; and IB-4) 90 mg of Zn/kg DM from Zn Hydroxychloride; 17.5 mg of Cu/kg DM from basic Cu chloride; 48 mg of Mn/kg DM from Mn Hydroxychloride. No differences were observed for final body weight (P > 0.42). Overall ADG, DMI, and feed efficiency were similar across treatments. Hot carcass weight, dressing percentage, yield grade, LMA, adjusted fat thickness, KPH, and marbling score were similar across treatments. Concentrations of Zn, Cu, and Mn in liver and blood samples collected on d 112 and at harvest were similar across treatments. Overall data collected from these 4 experiments indicate that under the conditions of these experiments, supplemental Zn, Cu, and Mn concentration and source had no impact on any of the response variables measured.
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    Investigation of an embedded-optical-base system's functionality in detecting signal events for gait measurements
    (Colorado State University. Libraries, 2018) Atkins, Colton A., author; Pond, Kevin R., advisor; Moorman, Valerie J., committee member; Grandin, Temple, committee member; Roman-Muniz, I. Noa, committee member; Archibeque, Shawn L., committee member
    Optical sensors have the potential to provide automated gait analysis and lameness detection in livestock. Measuring animals in motion while under field conditions is difficult for current gait analysis tools, such as plate and mat methods. This has caused a lack in commercially available systems. Additionally, a deficit of these systems and others is too much noise in their signal. Current sensor systems for static or in-motion measurements rely significantly on managing this noise as a source of error. From these problems, the primary objective of this body of work was to assess the use of an embedded-optical-base system (EOBS) and its ability to obtain real-time gait measurements from livestock. The research was composed of 3 field studies and 1 controlled study. Gait data was obtained using a commercial platform (2.4 m x 0.9 m; length x width) containing 1 EOBS. A signal-base-unit (SBU) and computer were setup near the EOBS platform by integrated cabling to collect real-time signal data. Signal fluctuation measurements (i.e., signal amplitude from hoof contact; 0 to 1 arbitrary units (au)) and kinematics (e.g., estimated speed, velocity and time duration) were recorded. The sensor detected hoof contact as signal amplitudes that could be examined in real time. Visual observations and video analyses were used for validating and classifying signal readings. The initial pilot study (field test) included 8 fistulated, crossbred steers (n = 8) tested over 1 d with 2 passes per animal over the EOBS platform. Pilot study data were used to evaluate initial signal fluctuations from animal contact. A second field study included 50 crossbred and purebred (n = 20, Angus; n = 10, Hereford; n = 20, Angus x Hereford) steers and heifers (n = 50; average BW = 292.5 kg) tested on 2 d over a 1-wk period with a total of 6 passes over the EOBS platform per animal. Steer and heifer normal walks, runs, and abnormal passes over the EOBS platform were analyzed. A third controlled study consisted of 3 mixed breed horses (n = 3) that had bilateral forelimb injections. Horses had both deep digital flexor muscles injected (1 with Botox and 1 with saline) with right and left forelimbs randomized. Horses were observed on 3 d over a 124-d period consisting of pre-treatment (baseline), post-treatment, and recovery test days with 10 passes over the EOBS platform per horse per day. Primary fluctuations, true (anomaly free) signal readings, from animal contact with the EOBS platform were analyzed. True signal readings were determined based on no influence observed from other limbs. A fourth field study consisted of 8 commercial bulls (n = 8) tested on 1 d with 3 passes over the EOBS platform per bull. Bulls were classified as either normal or abnormal in musculoskeletal structure and compared to one another to observe differences in signal fluctuation patterns. During the cattle studies, animals were not controlled and allowed to walk over the EOBS platform at their own pace. These studies formed the groundwork to determine the EOBS's functionality when animals passed over the platform. Signalment (i.e., breed, sex and age) and physiological characterizations were recorded. Temperature was also recorded for cattle field tests (e.g., min -6°C to max 4°C, respectively). For all 4 studies individual animal signal measurements were analyzed for each pass over the EOBS platform, compared to video data and classified for analysis. Results from all 4 studies showed intra- and inter-animal repeatability (qualitative observation) of observed signal readings. Though a variety of hoof contact signatures were obtained, repeating patterns were evident for both groups and individual animals. The embedded-optical-base system's (EOBS) functionality proved to be robust and operable under field trial conditions. Additionally, the signal showed extremely minimal noise. Lastly, the EOBS showed a stable baseline with clear deviations from it that could be correlated to hoof contact through video validation. Though the EOBS detected animal contact per pass, future work will investigate the system's operating readiness in accurately assessing variable gait measurements for lameness detection. Overall, data provides evidence that the embedded-optical-base system (EOBS) can detect hoof contact and differentiation between types of gait based on signal events.