Development and validation of near‐infrared spectroscopy procedures for prediction of cassava root dry matter and amylose contents in Ugandan cassava germplasm

Nuwamanya Ephraim, Wembabazi Enoch, Kanaabi Michael, Namakula Babirye Fatumah, Katungisa Arnold, Lyatumi Ivan, Esuma Williams, Alamu Emmanuel Oladeji, Dufour Dominique, Kawuki Robert, Davrieux Fabrice. 2023. Development and validation of near‐infrared spectroscopy procedures for prediction of cassava root dry matter and amylose contents in Ugandan cassava germplasm. Journal of the Science of Food and Agriculture, 8 p.

https://doi.org/10.1002/jsfa.12966

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Url - jeu de données - Entrepôt autre : https://www.cassavabase.org/

Résumé : BACKGROUND: Cassava utilization for food and/or industrial products depends on inherent properties of root dry matter content (DMC) and the starch fraction of amylose content (AC). Accordingly, in the present study, near-infrared reflectance spectroscopy (NIRS) models were developed to aid breeding and selection of DMC and AC as critical industrial traits taking care of root sample preparation and cassava germplasm diversity available in Uganda. RESULTS: Upon undertaking calibrations and cross-validations, best models were adopted for validation. DMC in calibration samples ranged from 20 to 45 g 100g−1, whereas, for amylose content, it ranged from 14 to 33 g 100g−1. In the validation set, average DMC was 29.5 g 100g−1, whereas, for amylose content, it was 24.64 g 100g−1. For DMC, a modified partial least square regression model had regression coefficients (R2) of 0.98 and 0.96, respectively, in the calibration and validation set. These were also associated with low bias (−0.018) and ratio of performance deviation that ranged from 4.7 to 5.0. In addition, standard error of prediction values ranged from 0.9 g 100g−1 to 1.06 g 100g−1. For AC, the regression coefficient was 0.91 for the calibration set and 0.94 for the validation set. A bias equivalent to −0.03 and a ratio of performance deviation of 4.23 were observed. CONCLUSION: These findings confirm the robustness of NIRS in the estimation of dry matter content and amylose content in cassava roots and thus justify its use in routine cassava breeding operations.

Mots-clés Agrovoc : spectroscopie infrarouge, manioc, Manihot esculenta, amylose, teneur en matière sèche, modèle mathématique, propriété physicochimique, composition chimique, industrie alimentaire, racine, technique de prévision, amidon, séchage, qualité

Mots-clés géographiques Agrovoc : Ouganda

Mots-clés libres : Cassava, Dry matter content, Amylose content, NIRS, Selection

Classification Agris : Q04 - Composition des produits alimentaires
Q01 - Sciences et technologies alimentaires - Considérations générales

Champ stratégique Cirad : CTS 3 (2019-) - Systèmes alimentaires

Agences de financement hors UE : Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Bill and Melinda Gates Foundation

Projets sur financement : (FRA) Breeding RTB Products for End User Preferences

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