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Characterizing quality traits of boiled yam: texture and taste for enhanced breeding efficiency and impact.
Adinsi, Laurent; Djibri-Moussa, Imayath; Honfozo, Laurenda; Bouniol, Alexandre; Meghar, Karima; Alamu, Emmanuel O; Adesokan, Michael; Arufe, Santiago; Ofoeze, Miriam; Okoye, Benjamin; Madu, Tessy; Hotègni, Francis; Chijioke, Ugo; Otegbayo, Bolanle; Dufour, Dominique; Hounhouigan, Joseph D; Ceballos, Hernán; Mestres, Christian; Akissoé, Noël H.
Affiliation
  • Adinsi L; Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, Cotonou, Benin.
  • Djibri-Moussa I; Ecole des Sciences et Techniques de Conservation et de Transformation des Produits Agricoles, Université Nationale d'Agriculture, Sakété, Benin.
  • Honfozo L; Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, Cotonou, Benin.
  • Bouniol A; Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, Cotonou, Benin.
  • Meghar K; Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, Cotonou, Benin.
  • Alamu EO; CIRAD, UMR QualiSud, Montpellier, France.
  • Adesokan M; QualiSud, Université de Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France.
  • Arufe S; CIRAD, UMR QualiSud, Montpellier, France.
  • Ofoeze M; QualiSud, Université de Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France.
  • Okoye B; International Institute of Tropical Agriculture, Ibadan, Nigeria.
  • Madu T; International Institute of Tropical Agriculture, Ibadan, Nigeria.
  • Hotègni F; CIRAD, UMR QualiSud, Montpellier, France.
  • Chijioke U; QualiSud, Université de Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France.
  • Otegbayo B; National Root Crops Research Institute, Umuahia, Nigeria.
  • Dufour D; National Root Crops Research Institute, Umuahia, Nigeria.
  • Hounhouigan JD; National Root Crops Research Institute, Umuahia, Nigeria.
  • Ceballos H; Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, Cotonou, Benin.
  • Mestres C; National Root Crops Research Institute, Umuahia, Nigeria.
  • Akissoé NH; Bowen University, Iwo, Nigeria.
J Sci Food Agric ; 2023 Mar 30.
Article in En | MEDLINE | ID: mdl-36995920
ABSTRACT

BACKGROUND:

Boiled yam key quality attributes typical for West African consumers are that it is crumbly, easy to break and has a sweet taste. New yam varieties are being developed but high- or medium-throughput tools to assess the required quality traits and their range of acceptance are limited. This study assessed the acceptance thresholds of these quality attributes and established predictive models for screening yam varieties that meet the required consumer preferences.

RESULTS:

Overall liking was associated with sweet taste, crumbliness and easiness to break (r-values 0.502, 0.291 and -0.087, respectively). These parameters and selected biophysical parameters highly discriminated the boiled yam varieties. Crumbly texture and easiness to break were well predicted by penetration force and dry matter, whereas sweet taste were well predicted by dry matter and sugar intensity. A high crumbliness and sweet taste are preferred (sensory scores above 6.19 and 6.22 for crumbly and sweet taste, respectively, on a 10 cm unstructured line scale), while a too high easiness to break is disliked (sensory scores ranging from 4.72 to 7.62). Desirable biophysical targets were between 5.1 and 7.1 N for penetration force, dry matter around 39% and sugar intensity below 3.62 g 100 g-1 . Some improved varieties fulfilled the acceptable thresholds, and screening was improved through deviation from the optimum.

CONCLUSION:

Acceptance thresholds and deviation from optimum for boiled yam assessed through the instrumental measurements are promising tools for yam breeders. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Sci Food Agric Year: 2023 Document type: Article Affiliation country: Benin

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Sci Food Agric Year: 2023 Document type: Article Affiliation country: Benin