Skip to main content

REVIEW article

Front. Anim. Sci.
Sec. Precision Livestock Farming
Volume 5 - 2024 | doi: 10.3389/fanim.2024.1514923

Enhancing Rabbit Farming Efficiency with Integrated Genomics and Nutritional Strategies

Provisionally accepted
  • 1 College of Animal Science and Technology, Northwest A&F University, Xianyang, Shanxi Province, China
  • 2 Northwest A&F University, Xianyang, China

The final, formatted version of the article will be published soon.

    Rabbit farming plays a crucial role in meeting the global demand for high-quality meat and sustainable agricultural practices. In recent years, significant attention has been directed toward the integration of Genomic-Assisted Selection (GAS) and Precision Nutrition (PN) as synergistic strategies to improve productivity and animal welfare in rabbit production systems. This integration is particularly critical given the intricate interplay between genetic predispositions and nutritional demands in optimizing rabbit farming outcomes. The present review systematically explores the genetic diversity inherent to rabbit breeds, examines the impact of key genetic traits on productivity and welfare metrics, and highlights advancements in genomic research and associated tools within the context of rabbit breeding practices. By examining the importance of personalized nutrition tailored to individual rabbit requirements, as well as nutritional strategies to optimize productivity and longevity. In this regard, we provide essential understanding for farmers and researchers in the rabbit farming industry. Our goal is to provide a new perspective on the significance of this integrated approach and its implications for future practices and research in rabbit production, emphasizing the need for continued efforts to harness the full potential of genomics and nutrition in enhancing rabbit farming practices.

    Keywords: precise nutrition, Genomic Assisted selection, rabbit, Breeding, Animal Welfare

    Received: 21 Oct 2024; Accepted: 17 Dec 2024.

    Copyright: © 2024 Goswami, Ahamba Solomon, KINKPE, Mujtaba Shah, Xiangyang, Song, Dong, Wang and Ren. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Zhanjun Ren, College of Animal Science and Technology, Northwest A&F University, Xianyang, 712100, Shanxi Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.