Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM)

Legesse Shiferaw; Girmay Tsegay; Gelila Asamenew

doi:doi:10.11648/j.sjac.20170501.12

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Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM)

Legesse Shiferaw, Girmay Tsegay, Gelila Asamenew

Published in Science Journal of Analytical Chemistry (Volume 5, Issue 1)

Received: 25 December 2016 Accepted: 5 January 2017 Published: 10 February 2017

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Abstract

Quality protein maize (QPM) has approximately twice tryptophan (Trp) and lysine (Lys) concentrations in protein compared to normal maize. Because several genetic systems control the protein quality of QPM, it is essential to regularly monitor Trp and/or Lys in QPM breeding programs through laboratory analysis. The objective of the study was to evaluate the capability of Near –Infrared Reflectance Spectroscopy (NIRS) method in determining tryptophan content of QPM which enhance the efficiency of QPM research efforts by partially replacing more expensive and time-consuming wet chemistry analysis. 268 maize samples were used to develop NIRS models for Tryptophan content. Standard error (SEC) and coefficient of determination for the calibration were 0.007 and 0.76 respectively. When the NIRS model was subjected to external validation with 40 S2 lines from QPM breeding populations, the standard error of prediction (SEP) for validation and coefficient of determination between NIRS and the chemical data were 0.008 and 0.84 respectively. Therefore, from the result it is confirmed that NIRS model is effective tool for screening of QPM from normal maize.

Published in	Science Journal of Analytical Chemistry (Volume 5, Issue 1)
DOI	10.11648/j.sjac.20170501.12
Page(s)	8-11
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Quality Protein Maize, Tryptophan, Lysine, NIRS

References

[1]	Montes, J.; Utz, H.; Schipprack, W.; Kusterer, B.; Muminovic, J.; Paul, C.; Melchinger, A. E.: Near- infrared spectroscopy on combine harvesters to measure maize grain dry matter content and quality parameters. Plant Breed. 125, 2006. 591–595.
[2]	Aldo R, Luis G., Ezequiel O., Catalina I., and Natalia P.; Near-Infrared Reflectance Spectroscopy (NIRS) for Protein, Tryptophan, and Lysine Evaluation in Quality Protein Maize (QPM) Breeding Programs. J. Agric. Food Chem., 59, 2011, 10781–10786.
[3]	Gibbon, B.; Larkins, B.: Molecular genetics approaches to developing quality protein maize. Trends Genet. 21, 2005, 227–233.
[4]	Krivanek, A. F.; De Groote, H.; Gunaratna, N.; Diallo, A.; Friesen, D.: Breeding and disseminating quality protein maize (QPM) for Africa. Afr. J. Biotechnol., 6, 2007. 312–324.
[5]	Nurit, E.; Tiessen, A.; Pixley, K.; Palacios-Rojas, N.: A reliable and inexpensive colorimetric method for determining protein-bound tryptophan in maize kernels. J. Agric. Food Chem. 57, 2009. 7233–7238.
[6]	Melchinger, A. E.; Schmidt, G.; Geiger, H.: Evaluation of near infra-red reflectance spectroscopy for predicting grain and stover quality traits in Maize. Plant Breed. 97, 1986. 20–29.
[7]	Shenk, J.; Westerhaus, M.: Population definition, selection, and calibration procedures for near infrared reflectance spectroscopy. Crop Sci. 31, 1991. 469–474.
[8]	Rubenthaler, G. L.; Bruinsma, B. L.: Lysine estimation in cereals by NIR. Crop Sci. 18, 1978. 1039–1042.
[9]	Fontaine, J.; Schirmer, B.; Horr, J.: Near-infrared reflectance spectroscopy (NIRS) enables the fast and accurate prediction of essential amino acid contents. J. Agric. Food Chem., 50, 2002, 3902–3911.
[10]	Vivek B. S., A. F. Krivanek, N. Palacios-Rojas, S. Twumasi-Afriyie, and A. O. Diallo.: Breeding Quality Protein Maize (QPM): Protocols for Developing QPM Cultivars. Mexico, D. F.: CIMMYT, 2008. 105.
[11]	Zum Felde, T.; Baumert, A.; Strack, D.; Becker, H.; Moellers, C.: Genetic variation for sinapate ester content in winter rapeseed (Brassica napus L.) and development of NIRS calibration equations. Plant Breed. 126, 2007, 291–296.

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Legesse Shiferaw, Girmay Tsegay, Gelila Asamenew. (2017). Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM). Science Journal of Analytical Chemistry, 5(1), 8-11. https://doi.org/10.11648/j.sjac.20170501.12

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ACS Style

Legesse Shiferaw; Girmay Tsegay; Gelila Asamenew. Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM). Sci. J. Anal. Chem. 2017, 5(1), 8-11. doi: 10.11648/j.sjac.20170501.12

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AMA Style

Legesse Shiferaw, Girmay Tsegay, Gelila Asamenew. Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM). Sci J Anal Chem. 2017;5(1):8-11. doi: 10.11648/j.sjac.20170501.12

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@article{10.11648/j.sjac.20170501.12,
  author = {Legesse Shiferaw and Girmay Tsegay and Gelila Asamenew},
  title = {Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM)},
  journal = {Science Journal of Analytical Chemistry},
  volume = {5},
  number = {1},
  pages = {8-11},
  doi = {10.11648/j.sjac.20170501.12},
  url = {https://doi.org/10.11648/j.sjac.20170501.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjac.20170501.12},
  abstract = {Quality protein maize (QPM) has approximately twice tryptophan (Trp) and lysine (Lys) concentrations in protein compared to normal maize. Because several genetic systems control the protein quality of QPM, it is essential to regularly monitor Trp and/or Lys in QPM breeding programs through laboratory analysis. The objective of the study was to evaluate the capability of Near –Infrared Reflectance Spectroscopy (NIRS) method in determining tryptophan content of QPM which enhance the efficiency of QPM research efforts by partially replacing more expensive and time-consuming wet chemistry analysis. 268 maize samples were used to develop NIRS models for Tryptophan content. Standard error (SEC) and coefficient of determination for the calibration were 0.007 and 0.76 respectively. When the NIRS model was subjected to external validation with 40 S2 lines from QPM breeding populations, the standard error of prediction (SEP) for validation and coefficient of determination between NIRS and the chemical data were 0.008 and 0.84 respectively. Therefore, from the result it is confirmed that NIRS model is effective tool for screening of QPM from normal maize.},
 year = {2017}
}

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TY  - JOUR
T1  - Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM)
AU  - Legesse Shiferaw
AU  - Girmay Tsegay
AU  - Gelila Asamenew
Y1  - 2017/02/10
PY  - 2017
N1  - https://doi.org/10.11648/j.sjac.20170501.12
DO  - 10.11648/j.sjac.20170501.12
T2  - Science Journal of Analytical Chemistry
JF  - Science Journal of Analytical Chemistry
JO  - Science Journal of Analytical Chemistry
SP  - 8
EP  - 11
PB  - Science Publishing Group
SN  - 2376-8053
UR  - https://doi.org/10.11648/j.sjac.20170501.12
AB  - Quality protein maize (QPM) has approximately twice tryptophan (Trp) and lysine (Lys) concentrations in protein compared to normal maize. Because several genetic systems control the protein quality of QPM, it is essential to regularly monitor Trp and/or Lys in QPM breeding programs through laboratory analysis. The objective of the study was to evaluate the capability of Near –Infrared Reflectance Spectroscopy (NIRS) method in determining tryptophan content of QPM which enhance the efficiency of QPM research efforts by partially replacing more expensive and time-consuming wet chemistry analysis. 268 maize samples were used to develop NIRS models for Tryptophan content. Standard error (SEC) and coefficient of determination for the calibration were 0.007 and 0.76 respectively. When the NIRS model was subjected to external validation with 40 S2 lines from QPM breeding populations, the standard error of prediction (SEP) for validation and coefficient of determination between NIRS and the chemical data were 0.008 and 0.84 respectively. Therefore, from the result it is confirmed that NIRS model is effective tool for screening of QPM from normal maize.
VL  - 5
IS  - 1
ER  -

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Author Information

Legesse Shiferaw

Ethiopian Institute of Agricultural Research, Agricultural Quality Research Laboratory, Adiss Abeba, Ethiopia
Girmay Tsegay

Ethiopian Institute of Agricultural Research, Agricultural Quality Research Laboratory, Adiss Abeba, Ethiopia
Gelila Asamenew

Ethiopian Institute of Agricultural Research, Agricultural Quality Research Laboratory, Adiss Abeba, Ethiopia

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Plain Text BibTeX RIS

APA Style

Legesse Shiferaw, Girmay Tsegay, Gelila Asamenew. (2017). Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM). Science Journal of Analytical Chemistry, 5(1), 8-11. https://doi.org/10.11648/j.sjac.20170501.12

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ACS Style

Legesse Shiferaw; Girmay Tsegay; Gelila Asamenew. Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM). Sci. J. Anal. Chem. 2017, 5(1), 8-11. doi: 10.11648/j.sjac.20170501.12

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AMA Style

Legesse Shiferaw, Girmay Tsegay, Gelila Asamenew. Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM). Sci J Anal Chem. 2017;5(1):8-11. doi: 10.11648/j.sjac.20170501.12

Copy | Download

@article{10.11648/j.sjac.20170501.12,
  author = {Legesse Shiferaw and Girmay Tsegay and Gelila Asamenew},
  title = {Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM)},
  journal = {Science Journal of Analytical Chemistry},
  volume = {5},
  number = {1},
  pages = {8-11},
  doi = {10.11648/j.sjac.20170501.12},
  url = {https://doi.org/10.11648/j.sjac.20170501.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjac.20170501.12},
  abstract = {Quality protein maize (QPM) has approximately twice tryptophan (Trp) and lysine (Lys) concentrations in protein compared to normal maize. Because several genetic systems control the protein quality of QPM, it is essential to regularly monitor Trp and/or Lys in QPM breeding programs through laboratory analysis. The objective of the study was to evaluate the capability of Near –Infrared Reflectance Spectroscopy (NIRS) method in determining tryptophan content of QPM which enhance the efficiency of QPM research efforts by partially replacing more expensive and time-consuming wet chemistry analysis. 268 maize samples were used to develop NIRS models for Tryptophan content. Standard error (SEC) and coefficient of determination for the calibration were 0.007 and 0.76 respectively. When the NIRS model was subjected to external validation with 40 S2 lines from QPM breeding populations, the standard error of prediction (SEP) for validation and coefficient of determination between NIRS and the chemical data were 0.008 and 0.84 respectively. Therefore, from the result it is confirmed that NIRS model is effective tool for screening of QPM from normal maize.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM)
AU  - Legesse Shiferaw
AU  - Girmay Tsegay
AU  - Gelila Asamenew
Y1  - 2017/02/10
PY  - 2017
N1  - https://doi.org/10.11648/j.sjac.20170501.12
DO  - 10.11648/j.sjac.20170501.12
T2  - Science Journal of Analytical Chemistry
JF  - Science Journal of Analytical Chemistry
JO  - Science Journal of Analytical Chemistry
SP  - 8
EP  - 11
PB  - Science Publishing Group
SN  - 2376-8053
UR  - https://doi.org/10.11648/j.sjac.20170501.12
AB  - Quality protein maize (QPM) has approximately twice tryptophan (Trp) and lysine (Lys) concentrations in protein compared to normal maize. Because several genetic systems control the protein quality of QPM, it is essential to regularly monitor Trp and/or Lys in QPM breeding programs through laboratory analysis. The objective of the study was to evaluate the capability of Near –Infrared Reflectance Spectroscopy (NIRS) method in determining tryptophan content of QPM which enhance the efficiency of QPM research efforts by partially replacing more expensive and time-consuming wet chemistry analysis. 268 maize samples were used to develop NIRS models for Tryptophan content. Standard error (SEC) and coefficient of determination for the calibration were 0.007 and 0.76 respectively. When the NIRS model was subjected to external validation with 40 S2 lines from QPM breeding populations, the standard error of prediction (SEP) for validation and coefficient of determination between NIRS and the chemical data were 0.008 and 0.84 respectively. Therefore, from the result it is confirmed that NIRS model is effective tool for screening of QPM from normal maize.
VL  - 5
IS  - 1
ER  -

Copy | Download