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Growth Performance, Carcass Characteristics, and Blood Metabolites of Lambs Supplemented with a Polyherbal Mixture.

José Felipe Orzuna-OrzunaGriselda Dorantes-IturbideAlejandro Lara-BuenoGermán David MendozaLuis Alberto Miranda-RomeroPedro Abel Hernández-García
Published in: Animals : an open access journal from MDPI (2021)
The objective of this study was to determine the effects of the supplementation of a polyherbal mixture (HM) on the productive performance, carcass characteristics, meat quality, and the profile of blood metabolites of lambs fed a high-concentrate diet. Thirty-six male Pelibuey lambs (25.21 ± 0.96 kg BW) were housed in individual pens during a 56-day feeding period and were randomly assigned to four treatments: (1) Control (CON): Basal diet without HM; (2) HM1: CON + 1 g of HM kg-1 dry matter (DM); (3) HM2: CON + 2 g of HM kg-1 DM; and (4) HM3: CON + 3 g of HM kg-1 DM. Data were analyzed using the GLM (General Linear Model) procedure of statistical analysis system (SAS), and linear and quadratic effects were tested to evaluate the effects of the HM level. A quadratic increase was observed in the dry matter intake and in daily weight gain (p < 0.05) of lambs fed with HM2 and HM1, respectively. However, final body weight, body condition, carcass characteristics, and meat quality were similar among treatments (p > 0.05). It was observed a linear increase (p < 0.05) in the mean corpuscular hemoglobin concentration. Lymphocytes in blood from lambs supplemented with the HM1 diet increased and segmented neutrophils decreased compared to lambs receiving the CON treatment (p < 0.05). The concentration of uric acid in the blood had a linear increase (p < 0.05) and the serum creatinine level decreased (p < 0.05) as the HM dietary dose increased. In conclusion, dietary inclusion of 2 and 1 g of HM kg-1 of DM improves feed consumption and daily weight gain, respectively, without affecting carcass characteristics, meat quality, and health status on finishing lambs.
Keyphrases
  • weight gain
  • uric acid
  • weight loss
  • body mass index
  • body weight
  • metabolic syndrome
  • type diabetes
  • ms ms
  • machine learning
  • glycemic control
  • minimally invasive
  • quality improvement
  • preterm birth
  • smoking cessation