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Quantification of dry matter content in hass avocado by near-infrared spectroscopy (NIRS) scanning different fruit zones

Rodriguez Pablo, Villamiza Jairo, Londoño Luis Fernando, Tran Thierry, Davrieux Fabrice. 2023. Quantification of dry matter content in hass avocado by near-infrared spectroscopy (NIRS) scanning different fruit zones. Plants, 12 (17), n.spéc. Spectra Analysis and Plants Research 2.0:3135, 16 p.

Article de revue ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
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Résumé : Accurate dry matter determination (DM) in Hass avocados is vital for optimal harvesting and ensuring fruit quality. Predictive models based on NIRS need to capture fruit DM gradient. This work aimed to determine the DM content in Hass avocado whole by NIRS scanning different fruit zones. Spectra were recorded for each zone of the fruit: peduncle (P), equator (E), and base (B). The calibration and validation included fruit from different orchards in two harvest cycles. The results show a DM gradient within the fruit: 24.47% (E), 24.68% (B), and 24.79% (P). The DM gradient was observed within the spectra using the RMSi (root mean square) criterion and PCA. The results show that at least one spectrum per fruit zone was needed to represent the variability within the fruit. The performances of the calibration using the whole set of data were R2: 0.74 and standard error of cross-validation (SECV) = 1.18%. In the validation stage using independent validation sets, the models showed similar performance (R2: 0.75, SECV 1.15%) with low values of the standard error of prediction (SEP): 1.62%. These results demonstrate the potential of near-infrared spectroscopy for high-throughput sorting of avocados based on their commercial quality.

Mots-clés Agrovoc : spectroscopie infrarouge, avocat, Persea americana, zone aride, fruits, teneur en matière sèche, méthodologie, physiologie végétale, qualité, technique analytique, récolte, spectroscopie, rendement des cultures

Mots-clés géographiques Agrovoc : Colombie

Mots-clés libres : Near-infrared spectroscopy, Chemometrics, Hass avocado, Fruit composition gradient, Persea americana

Classification Agris : Q04 - Composition des produits alimentaires
Q01 - Sciences et technologies alimentaires - Considérations générales
U30 - Méthodes de recherche

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

Agences de financement hors UE : Sistema General de Regalías de Colombia

Projets sur financement : (COL) Development and validation of technologies to increase the productivity of the Hass Avocado crop in the Department of Cauca

Auteurs et affiliations

  • Rodriguez Pablo, Centro de Investigación La Selva (COL) - auteur correspondant
  • Villamiza Jairo, Centro de Investigación La Selva (COL)
  • Londoño Luis Fernando, CIAT (COL)
  • Tran Thierry, CIRAD-PERSYST-UMR Qualisud (FRA) ORCID: 0000-0002-9557-3340
  • Davrieux Fabrice, CIRAD-PERSYST-UMR Qualisud (REU)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/608451/)

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