000112485 001__ 112485
000112485 005__ 20240319080949.0
000112485 0247_ $$2doi$$a10.1002/csc2.20680
000112485 0248_ $$2sideral$$a128367
000112485 037__ $$aART-2022-128367
000112485 041__ $$aeng
000112485 100__ $$aBalogun, Ireti
000112485 245__ $$aFrom traits to typologies: Piloting new approaches to profiling trait preferences along the cassava value chain in Nigeria
000112485 260__ $$c2022
000112485 5060_ $$aAccess copy available to the general public$$fUnrestricted
000112485 5203_ $$aBreeding 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
000112485 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000112485 590__ $$a2.3$$b2022
000112485 592__ $$a0.648$$b2022
000112485 591__ $$aAGRONOMY$$b35 / 88 = 0.398$$c2022$$dQ2$$eT2
000112485 593__ $$aAgronomy and Crop Science$$c2022$$dQ1
000112485 594__ $$a4.8$$b2022
000112485 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000112485 700__ $$aGarner, Elisabeth
000112485 700__ $$aAmer, Peter
000112485 700__ $$aFennessy, Peter
000112485 700__ $$aTeeken, Béla
000112485 700__ $$aOlaosebikan, Olamide
000112485 700__ $$aAbolore, Bello
000112485 700__ $$aMadu, Tessy
000112485 700__ $$aOkoye, Benjamín
000112485 700__ $$aSantos, Bruno
000112485 700__ $$aByrne, Tim
000112485 700__ $$0(orcid)0000-0002-2087-961X$$aMartin-Collado, Daniel
000112485 700__ $$aEgesi, Chiedozie
000112485 700__ $$aKulakow, Peter
000112485 700__ $$aTufan, H. A.
000112485 773__ $$g62, 1 (2022), 259-274$$pCrop sci.$$tCROP SCIENCE$$x0011-183X
000112485 8564_ $$s1560118$$uhttps://zaguan.unizar.es/record/112485/files/texto_completo.pdf$$yVersión publicada
000112485 8564_ $$s2898429$$uhttps://zaguan.unizar.es/record/112485/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000112485 909CO $$ooai:zaguan.unizar.es:112485$$particulos$$pdriver
000112485 951__ $$a2024-03-18-12:55:49
000112485 980__ $$aARTICLE