非侵入性技术在猪胴体性状活体评估中的应用OA

With the development of the pig industry,carcass traits have become not only crucial for pig breeding but also of increasing concern to consumers.However,traditional phenotypic data collection for carcass traits requires slaughtering pigs before measurement,making it impossible to directly select elite breeding individuals.Instead,selection must rely on progeny or sibling testing,leading to issues such as low accuracy of estimated breeding values,high breeding costs,and poor selection efficiency.Therefore,how to assess pig carcass traits using non-destructive measurement methods has remained a key research focus.Non-invasive techniques,such as computed tomography(CT),magnetic resonance imaging(MRI),dual-energy X-ray absorptiometry(DXA),and the most commonly used ultrasound technology,can provide critical information for in vivo assessment of pig carcass traits.This,in turn,offers valuable references for pig breeding,quality control,pricing,and processing.Furthermore,with the continuous advancement of artificial intelligence,integrating modern breeding techniques,non-invasive internal detection technologies,and the Internet of Things(IoT)will optimize genetic parameter estimation for breeding selection,thereby providing core support for precision pig farming.