Fish genetics plays a pivotal role in understanding the intricacies of aquatic life, contributing significantly to both scientific research and aquaculture advancements. The study of fish genetics delves into the hereditary traits, genetic variations, and molecular mechanisms shaping the diverse species populating our water ecosystems. Researchers explore how genes influence growth rates, disease resistance, and overall adaptability, offering valuable insights for sustainable fisheries management. Moreover, fish genetics is integral to selective breeding programs aimed at enhancing desirable traits in aquaculture, ensuring improved stock for increased productivity. Recent advancements in genetic technologies, such as DNA sequencing and genome editing, have revolutionized the field, enabling precise genetic manipulation and accelerating progress in fish breeding programs. As we deepen our understanding of fish genetics, we pave the way for more informed conservation strategies, sustainable fisheries practices, and resilient aquaculture systems to meet the growing demand for seafood.
Title : The horizontal integration of a Shellfish farm in a broader business model
Perry Raso, Matunuck Oyster Farm, United States
Title : Role of artificial intelligence and remote sensing in remediation of aquatic pollution and development of Numerical Oceanic Climate Prediction Models (NOCPM)
Virendra Goswami, Indian Institute of Technology (IIT), India
Title : Aquaculture education challenges: Integrating sustainable practices into schools
J L Giovanna Hesley, CropKing, Inc. Curriculum Development, United States
Title : Can we farm eelgrass as a high protein sustainable marine grain for aquaculture?
Timothy C Visel, Retired Aquaculture Educator, United States
Title : Impact of antibiotic application on microbiome present in Catfish gut and water
Luxin Wang, University of California Davis, United States
Title : Smart sensors and real-time monitoring: Revolutionizing aquatic pollution management
Vidya Padmakumar, EcoDiversity Lab, Canada