As the sophistication of genomic technologies increases and their cost continues to decrease, they are becoming routine tools in livestock breeding programs and production systems. The convergence of electronic measurement systems, cloud-based computing and fast internet enable the use of powerful decision support to help automate and manage livestock production, animal welfare and quality control. The complexity of livestock production systems, combined with the challenges of producing top-quality discretionary products for consumers, means that no single organisation has the range of expertise to support coordinated development of innovation in the relevant supply chains. Collaboration between a broad spectrum of scientists and industry partners is essential to ensure well integrated input to the design and implementation of programs to deliver improvements in efficiency, quality and profit. The need for collaboration among researchers, among research organisations and with end-users has never been more important. Collaboration brings together the skills needed to manage complex problems and enables the sharing of facilities and scarce resources within Australia and internationally. However, the most important component of effective collaboration is the early engagement of end-users to contribute to the design of programs of innovation, to ensure that investment is well targeted and that there is ownership of the problem as well as the solutions delivered through research. Although the potential benefits of effective collaboration are clear, it often takes more than logic to get individuals and organisations to work together. There needs to be a significant financial incentive combined with strong industry leadership and agreed common goals. Allocating resources to establish these foundations for effective collaboration should precede any major research and development funding initiative. The present paper argues that the new face of animal science in Australia should be structured around coordinated programs of research and development, on the basis of effective collaboration.

中文翻译：

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动物科学创新的关键：基因组学、大数据和协作

随着基因组技术复杂程度的提高及其成本的不断降低，它们正在成为牲畜育种计划和生产系统中的常规工具。电子测量系统、基于云的计算和快速互联网的融合能够使用强大的决策支持来帮助自动化和管理牲畜生产、动物福利和质量控制。畜牧生产系统的复杂性，再加上为消费者生产优质可自由支配的产品所面临的挑战，意味着没有一个组织具备支持相关供应链创新协调发展的专业知识。广泛的科学家和行业合作伙伴之间的合作对于确保对计划的设计和实施进行良好整合的投入以提高效率、质量和利润至关重要。研究人员之间、研究组织之间以及与最终用户之间的合作需求从未如此重要。协作汇集了管理复杂问题所需的技能，并能够在澳大利亚和国际上共享设施和稀缺资源。然而，有效协作的最重要组成部分是最终用户尽早参与为创新计划的设计做出贡献，以确保投资有针对性，并拥有问题的所有权以及通过研究提供的解决方案. 尽管有效协作的潜在好处是显而易见的，但让个人和组织一起工作通常需要的不仅仅是逻辑。需要有显着的财务激励、强大的行业领导力和商定的共同目标。分配资源以建立有效合作的基础应先于任何重大的研发资助计划。本论文认为，澳大利亚动物科学的新面貌应在有效合作的基础上围绕协调的研究和开发计划构建。分配资源以建立有效合作的基础应先于任何重大的研发资助计划。本论文认为，澳大利亚动物科学的新面貌应在有效合作的基础上围绕协调的研究和开发计划构建。分配资源以建立有效合作的基础应先于任何重大的研发资助计划。本论文认为，澳大利亚动物科学的新面貌应在有效合作的基础上围绕协调的研究和开发计划构建。