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首页> 外文期刊>Theoretical and Applied Genetics: International Journal of Breeding Research and Cell Genetics >Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder's equation
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Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder's equation

机译:增强公共部门植物育种计划中的遗传利率:来自育种者方程的课程

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Key messageThe integration of new technologies into public plant breeding programs can make a powerful step change in agricultural productivity when aligned with principles of quantitative and Mendelian genetics.AbstractThe breeder's equation is the foundational application of quantitative genetics to crop improvement. Guided by the variables that describe response to selection, emerging breeding technologies can make a powerful step change in the effectiveness of public breeding programs. The most promising innovations for increasing the rate of genetic gain without greatly increasing program size appear to be related to reducing breeding cycle time, which is likely to require the implementation of parent selection on non-inbred progeny, rapid generation advance, and genomic selection. These are complex processes and will require breeding organizations to adopt a culture of continuous optimization and improvement. To enable this, research managers will need to consider and proactively manage the, accountability, strategy, and resource allocations of breeding teams. This must be combined with thoughtful management of elite genetic variation and a clear separation between the parental selection process and product development and advancement process. With an abundance of new technologies available, breeding teams need to evaluate carefully the impact of any new technology on selection intensity, selection accuracy, and breeding cycle length relative to its cost of deployment. Finally breeding data management systems need to be well designed to support selection decisions and novel approaches to accelerate breeding cycles need to be routinely evaluated and deployed.
机译:关键词融入公共植物育种计划的新技术可以在与定量和孟塞尔遗传学原则对齐时,农业生产力的强大步骤变化。抽象育种者的等式是定量遗传学对作物改善的基础应用。由描述对选择的反应的变量引导,新兴育种技术可以在公共育种计划的有效性方面进行强大的一步变化。对于增加遗传利益率而没有大大增加的节目大小的最有前途的创新似乎与减少育种循环时间有关,这可能需要在非近交年代,快速生成前进和基因组选择上实施父母选择。这些是复杂的过程,需要育种组织采用连续优化和改进的文化。为了实现这一目标,研究经理需要考虑并主动管理育种团队的问责制,战略和资源分配。这必须与精英遗传变异的周到管理结合,以及父母选择过程和产品开发和进步过程之间的清晰分离。凭借丰富的新技术,育种团队需要仔细评估任何新技术对选择强度,选择精度和育种周期长度相对于其部署成本的影响。最后需要良好地繁殖数据管理系统来支持选择决策和新颖的加速育种循环的方法需要经常评估和部署。

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