Analyzing the Future of the Cattle Breeding Industry in Guangdong Province from the Perspective of the National Beef Cattle Industry Development
TONG Xiong
MIN Li
ZHANG Zhifei
TAN Sheng
MA Xinyan
LI Dagang
Abstract：This study delineates the evolving dynamics between cattle inventory and beef production in China,while highlighting the upward trajectory of domestic beef consumption and the increasing reliance on imports.From the perspective of germplasm resource introduction,it examines the influence of live cattle and frozen semen imports on the broader development of the beef industry.Integrating insights from the market circulation system,the paper further dissects the volatility patterns within the fresh beef consumption market.Focusing specifically on Guangdong Province,the paper evaluates the current state of the beef cattle sector through three analytical lenses:the imbalance in supply and demand,the degree of large-scale farming,and the distinctive characteristics of regional dairy cattle farming models.It identifies critical challenges facing the provincial cattle breeding industry,including a shortage of high-quality genetic stock,weak foundational infrastructure in breeding systems,misalignment between breeding objectives and the diversified demands of the market,and insufficient protection and utilization of indigenous cattle germplasm resources.Building upon the analysis of these structural bottlenecks,the paper proposes a systematic development pathway.This includes the establishment of a province-wide elite breeding system,targeted enhancement of genetic improvement technologies,the development of intelligent innovation platforms for germplasm advancement,and the identification of genetic markers associated with desirable traits.Together,these measures aim to provide a scientific foundation for the high-quality and sustainable development of Guangdong's beef cattle breeding industry.
Keywords：Beef Cattle IndustryGuangdong's Beef Cattle Germplasm IndustryBreeding StrategiesIndigenous Cattle BreedsTechnological Framework
Publication Date：2025-08-18
Online Publishing Date：2025-08-26(First online date of this platform, not the publication date of the document)
Pages：7( 105-110,120 )