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.
|
Version publiée
- Anglais
Sous licence . 2023_DM in Hass Avocado by NearInfrared Spectroscopy_Plants.pdf Télécharger (2MB) | Prévisualisation |
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, Agrosavia (COL) - auteur correspondant
- Villamiza Jairo, Agrosavia (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/)
[ Page générée et mise en cache le 2024-12-18 ]