Phenotypic characterization of sweet potato Ipomoea batatas (L.) Lam. genotypes in relation to prediction of chemical quality constituents by NIRS equations

This study evaluates the potential of NIRS (near-infrared reflectance spectroscopy) to predict the major constituents (starch, sugars, cellulose, proteins and minerals) of the sweet potato root. Overall, 240 accessions were morphologically described, chemically analysed and their NIR spectra recorded. No correlations were observed between aerial and underground traits, and between morphological traits and major constituents. Calibration equations, developed on 190 accessions, showed high explained variances in cross-validation (r2cv) for starch (0.82), sugars (0.91), proteins (0.89) and minerals (0.74) but no response for cellulose (0.21). The predictions were tested on an independent set of 50 randomly selected accessions. The r2pred values for starch, sugars and proteins were, respectively, of 0.71, 0.82 and 0.87 with ratios of performance to deviation (RPD) of 2.11, 2.29 and 2.93. New calibration equations developed on 240 accessions showed improved RPD values for starch (2.65), sugars (2.75), cellulose (1.58), proteins (3.47) and minerals (2.34), indicating that larger sets could improve prediction. NIRS could be used in sweet potato breeding programmes to predict starch, sugars and proteins contents in the roots.

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Main Authors: Lebot, Vincent, Ndiaye, André, Malapa, Roger
Format: article biblioteca
Language:eng
Subjects:F30 - Génétique et amélioration des plantes, Q04 - Composition des produits alimentaires, U30 - Méthodes de recherche, F60 - Physiologie et biochimie végétale, F50 - Anatomie et morphologie des plantes, Ipomoea batatas, igname, qualité, composition chimique, génotype, technique de prévision, spectroscopie infrarouge, teneur en glucides, teneur en éléments minéraux, teneur en protéines, amidon, cellulose, partie souterraine, partie aérienne, légume racine, phénotype, morphologie végétale, http://aims.fao.org/aos/agrovoc/c_3937, http://aims.fao.org/aos/agrovoc/c_8478, http://aims.fao.org/aos/agrovoc/c_6400, http://aims.fao.org/aos/agrovoc/c_1794, http://aims.fao.org/aos/agrovoc/c_3225, http://aims.fao.org/aos/agrovoc/c_3041, http://aims.fao.org/aos/agrovoc/c_28568, http://aims.fao.org/aos/agrovoc/c_1298, http://aims.fao.org/aos/agrovoc/c_4848, http://aims.fao.org/aos/agrovoc/c_6251, http://aims.fao.org/aos/agrovoc/c_7369, http://aims.fao.org/aos/agrovoc/c_1423, http://aims.fao.org/aos/agrovoc/c_32357, http://aims.fao.org/aos/agrovoc/c_32353, http://aims.fao.org/aos/agrovoc/c_6647, http://aims.fao.org/aos/agrovoc/c_5776, http://aims.fao.org/aos/agrovoc/c_13434, http://aims.fao.org/aos/agrovoc/c_5159,
Online Access:http://agritrop.cirad.fr/560005/
http://agritrop.cirad.fr/560005/1/document_560005.pdf
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spelling dig-cirad-fr-5600052024-01-28T19:12:35Z http://agritrop.cirad.fr/560005/ http://agritrop.cirad.fr/560005/ Phenotypic characterization of sweet potato Ipomoea batatas (L.) Lam. genotypes in relation to prediction of chemical quality constituents by NIRS equations. Lebot Vincent, Ndiaye André, Malapa Roger. 2011. Plant Breeding, 130 (2) : 457-463.https://doi.org/10.1111/j.1439-0523.2010.01840.x <https://doi.org/10.1111/j.1439-0523.2010.01840.x> Phenotypic characterization of sweet potato Ipomoea batatas (L.) Lam. genotypes in relation to prediction of chemical quality constituents by NIRS equations Lebot, Vincent Ndiaye, André Malapa, Roger eng 2011 Plant Breeding F30 - Génétique et amélioration des plantes Q04 - Composition des produits alimentaires U30 - Méthodes de recherche F60 - Physiologie et biochimie végétale F50 - Anatomie et morphologie des plantes Ipomoea batatas igname qualité composition chimique génotype technique de prévision spectroscopie infrarouge teneur en glucides teneur en éléments minéraux teneur en protéines amidon cellulose partie souterraine partie aérienne légume racine phénotype morphologie végétale http://aims.fao.org/aos/agrovoc/c_3937 http://aims.fao.org/aos/agrovoc/c_8478 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_1794 http://aims.fao.org/aos/agrovoc/c_3225 http://aims.fao.org/aos/agrovoc/c_3041 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_1298 http://aims.fao.org/aos/agrovoc/c_4848 http://aims.fao.org/aos/agrovoc/c_6251 http://aims.fao.org/aos/agrovoc/c_7369 http://aims.fao.org/aos/agrovoc/c_1423 http://aims.fao.org/aos/agrovoc/c_32357 http://aims.fao.org/aos/agrovoc/c_32353 http://aims.fao.org/aos/agrovoc/c_6647 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_13434 Vanuatu http://aims.fao.org/aos/agrovoc/c_5159 This study evaluates the potential of NIRS (near-infrared reflectance spectroscopy) to predict the major constituents (starch, sugars, cellulose, proteins and minerals) of the sweet potato root. Overall, 240 accessions were morphologically described, chemically analysed and their NIR spectra recorded. No correlations were observed between aerial and underground traits, and between morphological traits and major constituents. Calibration equations, developed on 190 accessions, showed high explained variances in cross-validation (r2cv) for starch (0.82), sugars (0.91), proteins (0.89) and minerals (0.74) but no response for cellulose (0.21). The predictions were tested on an independent set of 50 randomly selected accessions. The r2pred values for starch, sugars and proteins were, respectively, of 0.71, 0.82 and 0.87 with ratios of performance to deviation (RPD) of 2.11, 2.29 and 2.93. New calibration equations developed on 240 accessions showed improved RPD values for starch (2.65), sugars (2.75), cellulose (1.58), proteins (3.47) and minerals (2.34), indicating that larger sets could improve prediction. NIRS could be used in sweet potato breeding programmes to predict starch, sugars and proteins contents in the roots. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/560005/1/document_560005.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1111/j.1439-0523.2010.01840.x 10.1111/j.1439-0523.2010.01840.x info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1439-0523.2010.01840.x info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1111/j.1439-0523.2010.01840.x
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic F30 - Génétique et amélioration des plantes
Q04 - Composition des produits alimentaires
U30 - Méthodes de recherche
F60 - Physiologie et biochimie végétale
F50 - Anatomie et morphologie des plantes
Ipomoea batatas
igname
qualité
composition chimique
génotype
technique de prévision
spectroscopie infrarouge
teneur en glucides
teneur en éléments minéraux
teneur en protéines
amidon
cellulose
partie souterraine
partie aérienne
légume racine
phénotype
morphologie végétale
http://aims.fao.org/aos/agrovoc/c_3937
http://aims.fao.org/aos/agrovoc/c_8478
http://aims.fao.org/aos/agrovoc/c_6400
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_3225
http://aims.fao.org/aos/agrovoc/c_3041
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_1298
http://aims.fao.org/aos/agrovoc/c_4848
http://aims.fao.org/aos/agrovoc/c_6251
http://aims.fao.org/aos/agrovoc/c_7369
http://aims.fao.org/aos/agrovoc/c_1423
http://aims.fao.org/aos/agrovoc/c_32357
http://aims.fao.org/aos/agrovoc/c_32353
http://aims.fao.org/aos/agrovoc/c_6647
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_13434
http://aims.fao.org/aos/agrovoc/c_5159
F30 - Génétique et amélioration des plantes
Q04 - Composition des produits alimentaires
U30 - Méthodes de recherche
F60 - Physiologie et biochimie végétale
F50 - Anatomie et morphologie des plantes
Ipomoea batatas
igname
qualité
composition chimique
génotype
technique de prévision
spectroscopie infrarouge
teneur en glucides
teneur en éléments minéraux
teneur en protéines
amidon
cellulose
partie souterraine
partie aérienne
légume racine
phénotype
morphologie végétale
http://aims.fao.org/aos/agrovoc/c_3937
http://aims.fao.org/aos/agrovoc/c_8478
http://aims.fao.org/aos/agrovoc/c_6400
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_3225
http://aims.fao.org/aos/agrovoc/c_3041
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_1298
http://aims.fao.org/aos/agrovoc/c_4848
http://aims.fao.org/aos/agrovoc/c_6251
http://aims.fao.org/aos/agrovoc/c_7369
http://aims.fao.org/aos/agrovoc/c_1423
http://aims.fao.org/aos/agrovoc/c_32357
http://aims.fao.org/aos/agrovoc/c_32353
http://aims.fao.org/aos/agrovoc/c_6647
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_13434
http://aims.fao.org/aos/agrovoc/c_5159
spellingShingle F30 - Génétique et amélioration des plantes
Q04 - Composition des produits alimentaires
U30 - Méthodes de recherche
F60 - Physiologie et biochimie végétale
F50 - Anatomie et morphologie des plantes
Ipomoea batatas
igname
qualité
composition chimique
génotype
technique de prévision
spectroscopie infrarouge
teneur en glucides
teneur en éléments minéraux
teneur en protéines
amidon
cellulose
partie souterraine
partie aérienne
légume racine
phénotype
morphologie végétale
http://aims.fao.org/aos/agrovoc/c_3937
http://aims.fao.org/aos/agrovoc/c_8478
http://aims.fao.org/aos/agrovoc/c_6400
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_3225
http://aims.fao.org/aos/agrovoc/c_3041
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_1298
http://aims.fao.org/aos/agrovoc/c_4848
http://aims.fao.org/aos/agrovoc/c_6251
http://aims.fao.org/aos/agrovoc/c_7369
http://aims.fao.org/aos/agrovoc/c_1423
http://aims.fao.org/aos/agrovoc/c_32357
http://aims.fao.org/aos/agrovoc/c_32353
http://aims.fao.org/aos/agrovoc/c_6647
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_13434
http://aims.fao.org/aos/agrovoc/c_5159
F30 - Génétique et amélioration des plantes
Q04 - Composition des produits alimentaires
U30 - Méthodes de recherche
F60 - Physiologie et biochimie végétale
F50 - Anatomie et morphologie des plantes
Ipomoea batatas
igname
qualité
composition chimique
génotype
technique de prévision
spectroscopie infrarouge
teneur en glucides
teneur en éléments minéraux
teneur en protéines
amidon
cellulose
partie souterraine
partie aérienne
légume racine
phénotype
morphologie végétale
http://aims.fao.org/aos/agrovoc/c_3937
http://aims.fao.org/aos/agrovoc/c_8478
http://aims.fao.org/aos/agrovoc/c_6400
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_3225
http://aims.fao.org/aos/agrovoc/c_3041
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_1298
http://aims.fao.org/aos/agrovoc/c_4848
http://aims.fao.org/aos/agrovoc/c_6251
http://aims.fao.org/aos/agrovoc/c_7369
http://aims.fao.org/aos/agrovoc/c_1423
http://aims.fao.org/aos/agrovoc/c_32357
http://aims.fao.org/aos/agrovoc/c_32353
http://aims.fao.org/aos/agrovoc/c_6647
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_13434
http://aims.fao.org/aos/agrovoc/c_5159
Lebot, Vincent
Ndiaye, André
Malapa, Roger
Phenotypic characterization of sweet potato Ipomoea batatas (L.) Lam. genotypes in relation to prediction of chemical quality constituents by NIRS equations
description This study evaluates the potential of NIRS (near-infrared reflectance spectroscopy) to predict the major constituents (starch, sugars, cellulose, proteins and minerals) of the sweet potato root. Overall, 240 accessions were morphologically described, chemically analysed and their NIR spectra recorded. No correlations were observed between aerial and underground traits, and between morphological traits and major constituents. Calibration equations, developed on 190 accessions, showed high explained variances in cross-validation (r2cv) for starch (0.82), sugars (0.91), proteins (0.89) and minerals (0.74) but no response for cellulose (0.21). The predictions were tested on an independent set of 50 randomly selected accessions. The r2pred values for starch, sugars and proteins were, respectively, of 0.71, 0.82 and 0.87 with ratios of performance to deviation (RPD) of 2.11, 2.29 and 2.93. New calibration equations developed on 240 accessions showed improved RPD values for starch (2.65), sugars (2.75), cellulose (1.58), proteins (3.47) and minerals (2.34), indicating that larger sets could improve prediction. NIRS could be used in sweet potato breeding programmes to predict starch, sugars and proteins contents in the roots.
format article
topic_facet F30 - Génétique et amélioration des plantes
Q04 - Composition des produits alimentaires
U30 - Méthodes de recherche
F60 - Physiologie et biochimie végétale
F50 - Anatomie et morphologie des plantes
Ipomoea batatas
igname
qualité
composition chimique
génotype
technique de prévision
spectroscopie infrarouge
teneur en glucides
teneur en éléments minéraux
teneur en protéines
amidon
cellulose
partie souterraine
partie aérienne
légume racine
phénotype
morphologie végétale
http://aims.fao.org/aos/agrovoc/c_3937
http://aims.fao.org/aos/agrovoc/c_8478
http://aims.fao.org/aos/agrovoc/c_6400
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_3225
http://aims.fao.org/aos/agrovoc/c_3041
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_1298
http://aims.fao.org/aos/agrovoc/c_4848
http://aims.fao.org/aos/agrovoc/c_6251
http://aims.fao.org/aos/agrovoc/c_7369
http://aims.fao.org/aos/agrovoc/c_1423
http://aims.fao.org/aos/agrovoc/c_32357
http://aims.fao.org/aos/agrovoc/c_32353
http://aims.fao.org/aos/agrovoc/c_6647
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_13434
http://aims.fao.org/aos/agrovoc/c_5159
author Lebot, Vincent
Ndiaye, André
Malapa, Roger
author_facet Lebot, Vincent
Ndiaye, André
Malapa, Roger
author_sort Lebot, Vincent
title Phenotypic characterization of sweet potato Ipomoea batatas (L.) Lam. genotypes in relation to prediction of chemical quality constituents by NIRS equations
title_short Phenotypic characterization of sweet potato Ipomoea batatas (L.) Lam. genotypes in relation to prediction of chemical quality constituents by NIRS equations
title_full Phenotypic characterization of sweet potato Ipomoea batatas (L.) Lam. genotypes in relation to prediction of chemical quality constituents by NIRS equations
title_fullStr Phenotypic characterization of sweet potato Ipomoea batatas (L.) Lam. genotypes in relation to prediction of chemical quality constituents by NIRS equations
title_full_unstemmed Phenotypic characterization of sweet potato Ipomoea batatas (L.) Lam. genotypes in relation to prediction of chemical quality constituents by NIRS equations
title_sort phenotypic characterization of sweet potato ipomoea batatas (l.) lam. genotypes in relation to prediction of chemical quality constituents by nirs equations
url http://agritrop.cirad.fr/560005/
http://agritrop.cirad.fr/560005/1/document_560005.pdf
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AT ndiayeandre phenotypiccharacterizationofsweetpotatoipomoeabatatasllamgenotypesinrelationtopredictionofchemicalqualityconstituentsbynirsequations
AT malaparoger phenotypiccharacterizationofsweetpotatoipomoeabatatasllamgenotypesinrelationtopredictionofchemicalqualityconstituentsbynirsequations
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