title: Maintenance energy requirements of beef cows and relationship with cow and calf performance, metabolic hormones, and functional proteins.
abstract: Gestating Angus, nonlactating, spring-calving cows were used to determine variation in maintenance energy requirements (MR); to evaluate the relationship among MR and cow and calf performance, plasma concentrations of IGF-I, T4, glucose, insulin, and ruminal temperature; and to describe the LM proteome and evaluate protein abundance in cows with different MR. Cows (4 to 7 yr of age) with a BCS of 5.0 ± 0.2 and BW of 582 ± 37 kg in the second to third trimester of gestation were studied in 3 trials (trial 1, n = 23; trial 2, n = 32; trial 3, n = 38). Cows were individually fed a complete diet in amounts to meet predicted MR (Level 1 Model of NRC), and feed intake was adjusted weekly until constant BW was achieved for at least 21 d (maintenance). Cows were classified on the basis of MR as low (>0.5 SD less than mean, LMR), moderate (±0.5 SD of mean, MMR), or high (>0.5 SD more than mean, HMR) MR. Blood samples were taken at maintenance and at 2 mo postpartum in trial 2. Muscle biopsies were taken from LMR and HMR after cows consumed actual MR for 28 d (trial 2) or 21 d (trial 3). Proteins from LM were separated by 2-dimensional difference gel electrophoresis and were identified, and abundance was quantified and compared. The greatest differences in MR between cows were 29%, 24%, and 25% in trials 1, 2, and 3, respectively. Daily MR (NEm, kcal·BW(-0.75)·d(-1)) averaged 89.2 ± 6.3, 93.0 ± 4.9, and 90.4 ± 4.6 in trials 1, 2, and 3, respectively. Postpartum BW and BCS, calf birth and weaning weights, postpartum luteal activity, and ruminal temperature were not influenced by MR of the cows. Concentrations of IGF-I were greater (P = 0.001) in plasma of MMR compared with LMR cows consuming predicted MR diets, and MR was negatively correlated with concentrations of IGF-I in plasma (r = -0.38; P = 0.05) at 2 mo postpartum. A total of 103 proteins were isolated from LM; 52 gene products were identified. Abundance of specific proteins in the LM was not influenced (P > 0.11) by MR. Variation in MR of cows will make it possible to improve feed efficiency by selection. Identification of biomarkers for MR will allow selection of more efficient cows, which consume less feed and produce calves with similar weaning weights. Productive cows that require less feed for maintenance will improve efficiency of production and enhance sustainability of the environment.
authors.affiliation: Department of Animal Science, Oklahoma Agricultural Experiment Station.
authors.forename: M J
authors.initials: MJ
authors.lastname: Cooper-Prado
authors.affiliation: Department of Animal Science, Oklahoma Agricultural Experiment Station.
authors.forename: N M
authors.initials: NM
authors.lastname: Long
authors.affiliation: Department of Animal Science, Oklahoma Agricultural Experiment Station.
authors.forename: M P
authors.initials: MP
authors.lastname: Davis
authors.affiliation: Department of Animal Science, Oklahoma Agricultural Experiment Station.
authors.forename: E C
authors.initials: EC
authors.lastname: Wright
authors.affiliation: Department of Entomology, Oklahoma State University, Stillwater 74078-0425.
authors.forename: R D
authors.initials: RD
authors.lastname: Madden
authors.affiliation: Department of Entomology, Oklahoma State University, Stillwater 74078-0425.
authors.forename: J W
authors.initials: JW
authors.lastname: Dilwith
authors.affiliation: Department of Animal Science, Oklahoma Agricultural Experiment Station.
authors.forename: C L
authors.initials: CL
authors.lastname: Bailey
authors.affiliation: Department of Animal Science, Oklahoma Agricultural Experiment Station.
authors.forename: L J
authors.initials: LJ
authors.lastname: Spicer
authors.affiliation: Department of Animal Science, Oklahoma Agricultural Experiment Station bob.wettemann@okstate.edu.
authors.forename: R P
authors.initials: RP
authors.lastname: Wettemann
mesh_terms: D000818:Animals; D000831:Animals, Newborn / Q000254:growth & development* / Q000502:physiology; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism; D001831:Body Temperature / Q000502:physiology; D001835:Body Weight / Q000502:physiology; D002417:Cattle / Q000254:growth & development / Q000502:physiology*; D002149:Energy Intake / Q000502:physiology*; D004734:Energy Metabolism / Q000502:physiology*; D005260:Female; D006728:Hormones / Q000097:blood*; D007328:Insulin / Q000097:blood; D007334:Insulin-Like Growth Factor I / Q000378:metabolism; D018482:Muscle, Skeletal / Q000502:physiology*; D040901:Proteomics; D012417:Rumen / Q000502:physiology; D013974:Thyroxine / Q000097:blood
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D006728:Hormones; D007328:Insulin; D007334:Insulin-Like Growth Factor I; D013974:Thyroxine
keywords: beef cattle; hormones; maintenance energy requirements; proteomics