Feedlot Ruminant Nutrition and Metabolism
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Animal Metabolism".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 14872
Special Issue Editors
Interests: nutritional genomics; omics science; beef cattle; nutrigenomics; fetal programming
Interests: meat quality; beef cattle; beef nutrition; beef metabolism; metabolomics; metabotype
Special Issue Information
Dear Colleagues,
Ruminant production systems are constantly being developed to improve the quality of products from these animals, especially meat and milk. Consumers have increasingly demanded quality food with good nutritional properties and environmental friendliness. The use of strategies such as feedlot has been an important tool in improving these products and is usually related to a change in nutrition, which consequently tends to alter the metabolism of these animals. Several other factors can also influence these changes, such as adaptation to confinement, environment, feeding regime, stress, and genetics, among others.
Increasing evidence has shown the importance of metabolic changes in feedlot ruminants, especially in relation to performance and health, meat quality, and milk composition. New knowledge about the metabolism of feedlot animals is essential to improve the productivity and quality of products. A better understanding of the molecular factors that affect the metabolism of these animals can significantly help to achieve the new goals of producing food of animal origin for the growing demand of the human population.
This Special Issue of Metabolites will seek to expand knowledge centred around the metabolism of feedlot animals and its implications. We invite original research articles, brief research reports, and reviews covering (but not limited to) feedlot ruminant using omics studies, metabolic processes, biomarkers, target and untargeted omics approaches, omics networks, multi-omics, and systems biology.
We look forward to receiving your contributions.
Dr. Miguel Henrique De Almeida Santana
Dr. Nara Regina Brandão Cônsolo
Prof. Dr. José Bento Sterman Ferraz
Guest Editors
Manuscript Submission Information
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Keywords
- metabolism
- metabolic pathway
- omics
- biomarkers
- cattle
- nutritional genomics
- livestock
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