Agritrop
Accueil

Application of near infrared reflectance spectroscopy for the evaluation of yam (Dioscorea alata) germplasm and breeding lines

Lebot Vincent, Malapa Roger. 2013. Application of near infrared reflectance spectroscopy for the evaluation of yam (Dioscorea alata) germplasm and breeding lines. Journal of the Science of Food and Agriculture, 93 (7) : 1788-1797.

Article de revue ; Article de revue à facteur d'impact
[img] Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
document_568812.pdf

Télécharger (246kB)

Quartile : Q1, Sujet : AGRICULTURE, MULTIDISCIPLINARY / Quartile : Q2, Sujet : FOOD SCIENCE & TECHNOLOGY / Quartile : Q2, Sujet : CHEMISTRY, APPLIED

Résumé : BACKGROUND: Thousands of yam (Dioscorea spp.) accessions are maintained in germplasm collections. The physico-chemical characteristics of the tubers are rarely characterised. Unless a simple, low cost, screening tool is available, it is difficult to evaluate the quality of varieties and breeding lines. We investigated the potential of near infrared reflectance spectroscopy (NIRS) as an alternative method for predicting the major constituents of the yam tuber. RESULTS:Twohundredandsixty-five accessions,belonging to seven different Dioscorea spp.,were analysed for starch, amylose, sugars, proteins, minerals and cellulose. The comparison of the NIR spectra and the chemical values allowed the establishment of equations of calibration for the prediction of starch, sugars and proteins (equivalent N). The r2 pred values for starch, sugars and proteins (respectively 0.84, 0.86 and 0.88) are high enough to allow good estimates of their contents. Values for the ratio of performance to deviation (RPD) of 4.046 and 3.641 for the sugars and proteins models also allow good quantitative predictions to be made. Amylose, cellulose and minerals could not be predicted precisely. A second calibration conducted by adding the calibration and validation sets (260 accessions) revealed an improvement of the RPD values for starch, sugars and proteins, indicating that the models can be improved. Discriminant analysis conducted using 2151 wavelengths (in nanometres) as variables was applied to a set of 214 accessions of D. alata and the results were compared to the principal component analysis of chemical data. Accessions can be classified according to the amylaceous fraction of the chemotype. CONCLUSION:NIRS could be used in yam breeding programmes to characterise rapidly and at lowcost the numerous accessions and breeding lines.

Mots-clés Agrovoc : igname, Dioscorea, germoplasme, contrôle continu, sélection, amélioration des plantes, composition chimique, qualité, technique de prévision, spectroscopie infrarouge, Dioscorea bulbifera, Dioscorea cayenensis, Dioscorea esculenta, Dioscorea pentaphylla, Dioscorea alata, légume racine

Mots-clés géographiques Agrovoc : Vanuatu

Mots-clés complémentaires : Dioscorea transversa

Classification Agris : F30 - Génétique et amélioration des plantes
U30 - Méthodes de recherche
F60 - Physiologie et biochimie végétale

Champ stratégique Cirad : Axe 1 (2005-2013) - Intensification écologique

Auteurs et affiliations

  • Lebot Vincent, CIRAD-BIOS-UMR AGAP (VUT)
  • Malapa Roger, VARTC (VUT)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/568812/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-03-28 ]