BullNet-Sperm biology and associated reproductive biotechnologies to assist the dairy and beef industries meet growing demands

BullNet-精子生物学和相关生殖生物技术可帮助乳制品和牛肉行业满足不断增长的需求

• 批准号: EP/Y032128/1
• 负责人: Ravinder Anand-Ivell
• 金额: $ 33.22万
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY032128%2F1
• 关键词: BullNet; Sperm; biology; associated; reproductive

BullNet, consisting of 8 beneficiaries and 13 associated partner organisations, will build a multi-disciplinary and inter-sectorialresearch programme designed to unravel the complex underlying biology of compromised fertility of individual bulls. Cutting-edgebasic, applied and machine-learning approaches will be used to deliver a robust, flexible semen product from young, appropriatelyreared and managed, first-season elite sires that can be used successfully for artificial insemination (AI) with predictable andconsistent fertility, so as to provide the industry with key tools to meet current emissions and animal welfare demands. BullNet willalso lead to the advancement of knowledge in how bull management strategies and semen processing affect the functional andmolecular characteristics of sperm, thus opening scientific horizons for new applications in the area of assisted reproduction. Theoverall aim of this programme is to train a new generation of creative, entrepreneurial and innovative doctoral candidates (DCs) in thearea of bull fertility. BullNet will expose DCs to different sectors and they will acquire a comprehensive set of transferable skillsworking in the specific research area relating to their individual research projects, with an emphasis on the need for technologytransfer from academic institutions to commercial users. Moreover, given the wide range of academic and industry organisationsinvolved, the DCs will be able to face current and future challenges in order to convert knowledge and ideas into products andservices for economic, technological and societal benefit.

BullNet 由 8 个受益者和 13 个相关合作组织组成，将建立一个多学科和跨部门的研究计划，旨在揭示个体公牛生育力受损的复杂的潜在生物学原理。尖端的基础、应用和机器学习方法将用于从年轻、适当饲养和管理的第一季精英公牛中提供强大、灵活的精液产品，可成功用于人工授精（AI），具有可预测和一致的生育能力，因此为行业提供关键工具，以满足当前的排放和动物福利需求。 BullNet 还将推动公牛管理策略和精液处理如何影响精子的功能和分子特征方面的知识进步，从而为辅助生殖领域的新应用开辟科学视野。该项目的总体目标是培养公牛生育领域新一代富有创造力、创业精神和创新精神的博士生（DC）。 BullNet 将使 DC 接触到不同的部门，他们将在与其个人研究项目相关的特定研究领域中获得一整套可转让的技能，重点是从学术机构到商业用户的技术转让需求。此外，鉴于学术和行业组织的广泛参与，发展中国家将能够面对当前和未来的挑战，将知识和想法转化为产品和服务，从而实现经济、技术和社会效益。