Application of near infrared reflectance spectroscopy for the evaluation of yam (Dioscorea alata) germplasm and breeding lines
Lebot Vincent, Malapa Roger. 2013. .
ARTICLE, (2013 ) - PUBLISHEDVERSION - English (en-GB)
RESTRICTEDACCESS -
Cirad license, info:eu-repo/semantics/restrictedAccess, https://agritrop.cirad.fr/mention_legale.html.
Audience : RESEARCHERS
Subject
F30 - Génétique et amélioration des plantes, U30 - Méthodes de recherche, F60 - Physiologie et biochimie végétale, Igname, Dioscorea, Germplasm, Évaluation, Sélection, Amélioration des plantes, Composition chimique, Qualité, technique de prévision, Spectroscopie infrarouge, Dioscorea bulbifera, Dioscorea cayenensis, Dioscorea esculenta, Dioscorea pentaphylla, Dioscorea alata, Légume racine, http://aims.fao.org/aos/agrovoc/c_8478, http://aims.fao.org/aos/agrovoc/c_2288, http://aims.fao.org/aos/agrovoc/c_3249, http://aims.fao.org/aos/agrovoc/c_2736, http://aims.fao.org/aos/agrovoc/c_6951, http://aims.fao.org/aos/agrovoc/c_5956, http://aims.fao.org/aos/agrovoc/c_1794, http://aims.fao.org/aos/agrovoc/c_6400, http://aims.fao.org/aos/agrovoc/c_3041, http://aims.fao.org/aos/agrovoc/c_28568, http://aims.fao.org/aos/agrovoc/c_2290, http://aims.fao.org/aos/agrovoc/c_2291, http://aims.fao.org/aos/agrovoc/c_2293, http://aims.fao.org/aos/agrovoc/c_2297, http://aims.fao.org/aos/agrovoc/c_2289, http://aims.fao.org/aos/agrovoc/c_6647, http://aims.fao.org/aos/agrovoc/c_5159
Domains
Agriculture, Culture
Description
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.
Creators
Lebot, Vincent, Malapa, Roger
Sources
Journal of the Science of Food and Agriculture
