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

Lebot, Vincent; Malapa, Roger

doi:10.1002/jsfa.6002

Cited by 24 publications

(26 citation statements)

References 26 publications

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“…Near‐infrared spectroscopy calibration models have been developed for rapid and reliable assessment of food quality attributes in various Dioscorea spp. (Alamu, Adesokan, & Maziya‐Dixon, ; Ehounou et al, ; Lebot & Malapa, ; Zhuang, Ni, & Kokot, ). Equations of NIRS calibration with high r 2 values (>.84) for prediction of starch, sugars and proteins (equivalent N) in various Dioscorea spp.…”

Section: High‐throughput Phenotyping In Yammentioning

confidence: 99%

“…Equations of NIRS calibration with high r 2 values (>.84) for prediction of starch, sugars and proteins (equivalent N) in various Dioscorea spp. have been developed (Lebot & Malapa, ). Alamu et al () developed NIRS calibration model for prediction of moisture, ash, protein, crude fibre and tannin content in dry tuber samples (flour) of diverse D. rotundata breeding lines with high coefficient of determination values ( r 2 > .80) for the calibration curve and medium to high r 2 values in cross‐validation ( r 2 = .50 for tannin to .80 for moisture content).…”

Section: High‐throughput Phenotyping In Yammentioning

confidence: 99%

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Review of empirical and emerging breeding methods and tools for yam (Dioscorea spp.) improvement: Status and prospects

et al. 2019

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Yam (Dioscorea spp.) is an important tuber crop with tremendous potential as a functional food in the tropics and subtropics. However, the crop has not shown progressive productivity gain over decades due to various production constraints. This paper reviews the progress achieved in empirical breeding endeavours and the development, status and application of emerging breeding tools and technologies to translate genetic gains in yam improvement. Significant progress has been made in yam genetic improvement over the years which has led to the identification and development of several improved clones and sources of variability for various economically important traits. Substantial efforts have also been made to develop diverse molecular markers, transcriptome and metabolome profiles of crucial traits, trait mapping and generate reference genome sequences of the key species. However, there seems to be a slow translation of research improvements into widespread applications. These advances and the integration of empirical and emerging methods and technologies into the breeding process will enhance yam breeding efforts and ensure the quick delivery of improved varieties that possess superior agronomic and quality traits.

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Section: High‐throughput Phenotyping In Yammentioning

confidence: 99%

Section: High‐throughput Phenotyping In Yammentioning

confidence: 99%

Review of empirical and emerging breeding methods and tools for yam (Dioscorea spp.) improvement: Status and prospects

et al. 2019

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“…The potential of NIR reflectance spectroscopy was investigated as an alternative method for predicting the major constituents in yam tuber samples ( Dioscorea pp ) [ 28 , 29 ]. Two hundred and sixty-five samples, belonging to seven different yam accessions were analysed for starch, amylose, sugars, proteins, minerals and cellulose [ 28 , 29 ]. The reported coefficients of determination ( R 2 ) were 0.84 for starch, 0.86 for sugars and 0.88 for proteins [ 28 , 29 ].…”

Section: Applications Of Nir and Mir Spectroscopymentioning

confidence: 99%

“…Two hundred and sixty-five samples, belonging to seven different yam accessions were analysed for starch, amylose, sugars, proteins, minerals and cellulose [ 28 , 29 ]. The reported coefficients of determination ( R 2 ) were 0.84 for starch, 0.86 for sugars and 0.88 for proteins [ 28 , 29 ]. Calibrations developed by combining both the calibration and validation sets determined an improvement of the calibration statistics [ 29 ].…”

Section: Applications Of Nir and Mir Spectroscopymentioning

confidence: 99%

“…The reported coefficients of determination ( R 2 ) were 0.84 for starch, 0.86 for sugars and 0.88 for proteins [ 28 , 29 ]. Calibrations developed by combining both the calibration and validation sets determined an improvement of the calibration statistics [ 29 ]. Discriminant analysis (DA) was also used by the authors to classify samples according to the amylaceous fraction of the chemotype [ 29 ].…”

Section: Applications Of Nir and Mir Spectroscopymentioning

confidence: 99%

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A Review on the Role of Vibrational Spectroscopy as An Analytical Method to Measure Starch Biochemical and Biophysical Properties in Cereals and Starchy Foods

Cozzolino

Degner

Eglinton

2014

Foods

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Starch is the major component of cereal grains and starchy foods, and changes in its biophysical and biochemical properties (e.g., amylose, amylopectin, pasting, gelatinization, viscosity) will have a direct effect on its end use properties (e.g., bread, malt, polymers). The use of rapid and non-destructive methods to study and monitor starch properties, such as gelatinization, retrogradation, water absorption in cereals and starchy foods, is of great interest in order to improve and assess their quality. In recent years, near infrared reflectance (NIR) and mid infrared (MIR) spectroscopy have been explored to predict several quality parameters, such as those generated by instrumental methods commonly used in routine analysis like the rapid visco analyser (RVA) or viscometers. In this review, applications of both NIR and MIR spectroscopy to measure and monitor starch biochemical (amylose, amylopectin, starch) and biophysical properties (e.g., pasting properties) will be presented and discussed.

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Quantitative trait loci and candidate genes for physico‐chemical traits related to tuber quality in greater yam (Dioscorea alata L.)

Arnau,

Desfontaines,

Ehounou

et al. 2023

J Sci Food Agric

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BACKGROUNDStarch, dry matter content (DMC), proteins, and sugars are among the major influences on yam tuber quality. Genetic improvement programs need simple, rapid, and low‐cost tools to screen large populations. The objectives of this work were, using a quantitative trait loci mapping approach (QTL) on two diploid full‐sib segregating populations, (i) to acquire knowledge about the genetic control of these traits; (ii) to identify markers linked to the genomic regions controlling each trait, which are useful for marker‐assisted selection (MAS); (iii) to validate the QTLs on a diversity panel; and (iv) to identify candidate genes from the validated QTLs.RESULTSHeritability for all traits was moderately high to high. Significant correlations were observed between traits. A total of 25 QTLs were identified, including six for DMC, six for sugars, six for proteins, and seven for starch. The phenotypic variance explained by individual QTLs ranged from 14.3% to 28.6%. The majority of QTLs were validated on a diversity panel, showing that they are not specific to the genetic background of the progenitors. The approximate physical location of validated QTLs allowed the identification of candidate genes for all studied traits. Those detected for starch content were mainly enzymes involved in starch and sucrose metabolism, whereas those detected for sugars were mainly involved in respiration and glycolysis.CONCLUSIONThe validated QTLs will be useful for breeding programs using MAS to improve the quality of yam tubers. The putative genes should be useful in providing a better understanding of the physiological and molecular basis of these important tuber quality traits. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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

Abstract: NIRS could be used in yam breeding programmes to characterise rapidly and at low cost the numerous accessions and breeding lines.

Cited by 24 publications

References 26 publications

Review of empirical and emerging breeding methods and tools for yam (Dioscorea spp.) improvement: Status and prospects

Review of empirical and emerging breeding methods and tools for yam (Dioscorea spp.) improvement: Status and prospects

A Review on the Role of Vibrational Spectroscopy as An Analytical Method to Measure Starch Biochemical and Biophysical Properties in Cereals and Starchy Foods

Quantitative trait loci and candidate genes for physico‐chemical traits related to tuber quality in greater yam (Dioscorea alata L.)

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