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Rapid assessment of main agronomic indicators in the grain of winter and spring forms of triticale using infrared spectroscopy

https://doi.org/10.30901/2227-8834-2024-3-61-70

Abstract

Background. Calibration models were developed for rapid assessment of crucial agronomic indicators in the grain of winter and spring triticale from the VIR collection using near-infrared spectroscopy (NIRS). These calibration models will enable users to find the most optimal utilization trends for individual triticale accessions.
Materials and methods. Indicators of agronomic value (coloration, moisture, and the content of ash, protein, starch, amylose and fiber) were studied on a set of 32 grain samples collected from winter and spring triticale forms (Triticosecale Wittm. & A. Camus) reproduced in 2021–2022 at the Dagestan Experiment Station, a branch of the N.I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR). Calibration models for the assessment of the said agronomic characters in triticale grain were developed on the platform of the MATRIX-I IR analyzer (Bruker Optics, Germany) and based on the values obtained by classical methods of biochemical analysis adopted at VIR.
Results. Reliability of the calibration models was tested on a randomized batch of triticale grain samples: the results of the new calibrations were compared with those of the conventional biochemical analysis. This verification showed that the data obtained through the use of calibration curves were reliable for protein and ash content, while other models required further improvement.
Conclusion. Calibration models for measuring protein and ash content developed on the basis of the MATRIX-I IR analyzer can be used to perform rapid assessment of the winter and spring triticale grain. This method makes it possible to accelerate the process of obtaining crop characteristics for a number of basic agronomic characters and preserve valuable breeding material.

About the Authors

V. S. Popov
N.I. Vavilov All-Russian Institute of Plant Genetic Resources
Russian Federation

Vitaliy S. Popov, Cand. Sci. (Engineering), Senior Researcher 

42, 44 Bolshaya Morskaya Street, St. Petersburg 190000



N. G. Konkova
N.I. Vavilov All-Russian Institute of Plant Genetic Resources
Russian Federation

Nina G. Konkova, Researcher 

42, 44 Bolshaya Morskaya Street, St. Petersburg 190000



T. V. Shelenga
N.I. Vavilov All-Russian Institute of Plant Genetic Resources
Russian Federation

Tatiana V. Shelenga, Cand. Sci. (Biology), Leading Researcher 

42, 44 Bolshaya Morskaya Street, St. Petersburg 190000



V. I. Khoreva
N.I. Vavilov All-Russian Institute of Plant Genetic Resources
Russian Federation

Valentina I. Khoreva, Cand. Sci. (Biology), Leading Researcher 

42, 44 Bolshaya Morskaya Street, St. Petersburg 190000



I. A. Kibkalo
N.I. Vavilov All-Russian Institute of Plant Genetic Resources
Russian Federation

Ilya A. Kibkalo, Cand. Sci. (Agriculture), Senior Researcher 

42, 44 Bolshaya Morskaya Street, St. Petersburg 190000



M. Kh. Gadjimagomedova
N.I. Vavilov All-Russian Institute of Plant Genetic Resources, Dagestan Experiment Station
Russian Federation

Mina Kh. Gadjimagomedova, Associate Researcher 

Derbent 368612



L. G. Suvaryan
N.I. Vavilov All-Russian Institute of Plant Genetic Resources; Gyumri Breeding Station
Russian Federation

Lusine G. Suvaryan, Postgraduate Student; Senior Researcher, Deputy Director 

42, 44 Bolshaya Morskaya Street, St. Petersburg 190000;
Akhuryan Community, Shirak Marz 3103



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Review

For citations:


Popov V.S., Konkova N.G., Shelenga T.V., Khoreva V.I., Kibkalo I.A., Gadjimagomedova M.Kh., Suvaryan L.G. Rapid assessment of main agronomic indicators in the grain of winter and spring forms of triticale using infrared spectroscopy. Proceedings on applied botany, genetics and breeding. 2024;185(3):61-70. (In Russ.) https://doi.org/10.30901/2227-8834-2024-3-61-70

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ISSN 2227-8834 (Print)
ISSN 2619-0982 (Online)