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Abstract：
Trait prioritization studies have guided research, development and investment decisions for public-sector crop breeding programmes since the 1970s, but the research design, methods and tools underpinning these studies are not well understood. We used PRISMA-ScR (Preferred Reporting Items for Systematic review and Meta-Analysis Protocols) to evaluate research on trait ranking for major crops over the past 40 years (1980-2023). Data extraction and descriptive analysis on 657 papers show uneven attention to crops, lack of systematic sex disaggregation and regional bias. The lack of standardized trait data taxonomy across studies, and inconsistent research design and data collection practices make cross-comparison of findings impossible. In addition, network mapping of authors and donors shows patterns of concentration and the presence of silos within research areas. This study contributes to the next generation of innovation in trait preference studies to produce more inclusive, demand-driven varietal design that moves beyond trait prioritization focused on productivity and yield.
摘要：
特征优先级研究指导了研究，自1970年代以来，公共部门作物育种计划的发展和投资决策，但是研究设计，支持这些研究的方法和工具还没有得到很好的理解。我们使用PRISMA-ScR（系统评价和荟萃分析方案的首选报告项目）来评估过去40年（1980-2023年）主要作物的性状排名研究。对657篇论文的数据提取和描述性分析表明，对作物的关注不均衡，缺乏系统的性别分类和区域偏见。缺乏标准化的特征数据分类法，和不一致的研究设计和数据收集做法使交叉比较的结果是不可能的。此外,作者和捐赠者的网络图显示了研究区域内的集中模式和孤岛的存在。本研究有助于下一代创新的特质偏好研究，以产生更多的包容性，需求驱动的品种设计，超越了注重生产力和产量的性状优先顺序。
