Breeding programs are increasing efforts towards demand-led breeding approaches to ensure that cultivars released meet the needs of end users including processors, traders, and consumers, and that they are adopted by farmers. To effectively deploy these approaches, new tools are required to better understand and quantify the degree of preference differences among alternative trait changes competing for measurement and selection effort. The purpose of this study was to present a method of quantifying preferences and developing typologies according to breeding priorities by applying an online trait preference survey approach to cassava (Manihot esculenta Crantz). This paper presents a conjoint analysis based on Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) to help guide breeding programs in understanding trait preferences across value chain roles and social contexts and set breeding priorities that represent diverse interests. Trait preferences were assessed using a comprehensive survey and analysis package incorporating a core adaptive conjoint method (1000minds, 2020). Trait selection was based on a trade-off of 11 cassava traits carried out with 792 cassava value chain actors in four geopolitical regions in Nigeria. Principal component and cluster analyses revealed three clusters (typologies) of respondents according to their trait preferences. The results demonstrate the usefulness of this methodology that innovates on previous trait preference approaches to address the expanding needs of plant breeding programs within smallholder contexts.

中文翻译：

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从性状到类型学：试行新方法来分析尼日利亚木薯价值链中的性状偏好

育种计划正在加大以需求为导向的育种方法的努力，以确保发布的品种满足最终用户（包括加工商、贸易商和消费者）的需求，并被农民采用。为了有效地部署这些方法，需要新的工具来更好地理解和量化竞争测量和选择工作的替代性状变化之间的偏好差异程度。本研究的目的是通过将在线性状偏好调查方法应用于木薯（Manihot esculenta克兰茨）。本文提出了基于所有可能替代品的潜在所有配对排名 (PAPRIKA) 的联合分析，以帮助指导育种计划了解跨价值链角色和社会背景的性状偏好，并设定代表不同利益的育种优先事项。使用包含核心自适应联合方法（1000minds，2020）的综合调查和分析包评估特征偏好。性状选择是基于对尼日利亚四个地缘政治地区的 792 个木薯价值链参与者进行的 11 个木薯性状的权衡。主成分和聚类分析根据他们的特征偏好揭示了受访者的三个聚类（类型）。