From traits to typologies: Piloting new approaches to profiling trait preferences along the cassava value chain in Nigeria

Balogun, Ireti ; Garner, Elisabeth ; Amer, Peter ; Fennessy, Peter ; Teeken, Béla ; Olaosebikan, Olamide ; Abolore, Bello ; Madu, Tessy ; Okoye, Benjamín ; Santos, Bruno ; Byrne, Tim ; Martin-Collado, Daniel ; Egesi, Chiedozie ; Kulakow, Peter ; Tufan, H. A.

Resumen: 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. © 2021 The Authors. Crop Science © 2021 Crop Science Society of America

Idioma: Inglés

DOI: 10.1002/csc2.20680

Año: 2022

Publicado en: CROP SCIENCE 62, 1 (2022), 259-274
ISSN: 0011-183X

Factor impacto JCR: 2.3 (2022)

Categ. JCR: AGRONOMY rank: 35 / 88 = 0.398 (2022) - Q2 - T2

Factor impacto CITESCORE: 4.8 - Agricultural and Biological Sciences (Q1)

Factor impacto SCIMAGO: 0.648 - Agronomy and Crop Science (Q1)

Tipo y forma: Article (Published version)