JOURNAL ARTICLE

Effects of Different Supplementations During the Rainy Season on Nitrogen Metabolism of Beef Cattle Steers on Tropical Pasture.

  • Published In: Journal of Animal Science, 2023, v. 101. P. 508 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Siniscalchi, Débora; Vecchia Camargo, Karine Dalla; Boas Fonseca, Natalia Vilas; Oliveira Castro, Marcelo Augusto; Alves Dornellas, Isadora; Aparecido De Souza, Willian; Dos Santos Del Vecchio, Lucas; Vicente Junior, Carlos Eduardo; Franco Prados, Laura; Rodrigues Paulino, Pedro Veiga; Tatiana Granja-Salcedo, Yury; REIS, RICARDO 3 of 3

Abstract

This article presents two studies focused on animal health and nutrition. The first study evaluated the effects of different supplementation levels combined with phytogenic additives (essential oils, saponins, and spices) on nitrogen metabolism in beef cattle steers grazing tropical pastures during the rainy season. Results showed that supplementation with phytogenic additives reduced urinary nitrogen excretion and increased nitrogen retention, indicating improved nitrogen utilization efficiency compared to mineral supplementation alone. The second study investigated whether gonadectomy (spaying or neutering) affects peripheral T-lymphocyte populations in senior Labrador Retrievers. Findings revealed no significant differences in T-cell subsets or ratios between gonadectomized and intact dogs, suggesting that gonadectomy does not alter adaptive immune function in aging dogs.

Additional Information

  • Source:Journal of Animal Science. 2023/11, Vol. 101, p508
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2023
  • ISSN:0021-8812
  • DOI:10.1093/jas/skad281.600
  • Accession Number:173681056
  • Copyright Statement:Copyright of Journal of Animal Science is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.