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Lambs supplemented with Amazonian oilseed co-products: Meat quality and fatty acid profile.

Vinícius Costa Gomes de CastroJuliana Cristina de Castro BudelThomaz Cyro Guimarães de Carvalho RodriguesBruna Almeida SilvaWaléria Cristina Lopes JosetAlyne Cristina Sodré de LimaShirley Motta SouzaRui José Branquinho BessaSusana Paula Almeida AlvesJamile Andrea Rodrigues da SilvaMaria Regina Sarkis Peixoto JoeleAndré Guimarães Maciel E SilvaJosé de Brito Lourenço-Júnior
Published in: PloS one (2023)
The Amazon has a wide variety of oilseeds that generate a huge amount of co-products with potential for use in animal nutrition. The objective was to use alternative resources (oilseed cakes) in the feeding of lambs to assign a sustainable destination to this biomass, and evaluate its influence on the quality and fatty acid (FA) profile of the meat. Twenty-four lambs, male, castrated, crossbred Dorper × Santa Inês, weighing 30 ± 1.3 kg of initial body weight, were distributed in a completely randomized design in 4 treatments (diets) with six replications (animals). The control diet (Control) contained corn and soybean meal as main ingredients, which were partially replaced in the other diets by cupuassu cake diet (Cup), palm kernel cake diet (Palm) and tucuma cake diet (Tuc). The inclusion of Amazon cakes influences the lipid (P = 0.02) and protein (P < 0.01) composition of meat (longissimus lumborum); reduces cooking losses (P < 0.01); influences the colors (L, a, b), chroma, and Hue Angle (P < 0.01); promotes changes in total FA composition and FA profile (P < 0.05); reduces hypocholesterolemic FA (h) (P = 0.01), but does not influence hypercholesterolemic (H) and indices h:H, AI and TI (P > 0.05). The inclusion of oilseed cakes influences the chemical composition, physical parameters, composition and fatty acid profile of the meat, but does not influence the indicators of atherogenicity, thrombogenicity and cholesterolemia.
Keyphrases
  • fatty acid
  • weight loss
  • physical activity
  • body weight
  • mental health
  • quality improvement
  • double blind
  • open label
  • clinical trial
  • wastewater treatment
  • risk assessment
  • mass spectrometry
  • deep learning