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.
Keywords
About the Authors
V. S. PopovRussian Federation
Vitaliy S. Popov, Cand. Sci. (Engineering), Senior Researcher
42, 44 Bolshaya Morskaya Street, St. Petersburg 190000
N. G. Konkova
Russian Federation
Nina G. Konkova, Researcher
42, 44 Bolshaya Morskaya Street, St. Petersburg 190000
T. V. Shelenga
Russian Federation
Tatiana V. Shelenga, Cand. Sci. (Biology), Leading Researcher
42, 44 Bolshaya Morskaya Street, St. Petersburg 190000
V. I. Khoreva
Russian Federation
Valentina I. Khoreva, Cand. Sci. (Biology), Leading Researcher
42, 44 Bolshaya Morskaya Street, St. Petersburg 190000
I. A. Kibkalo
Russian Federation
Ilya A. Kibkalo, Cand. Sci. (Agriculture), Senior Researcher
42, 44 Bolshaya Morskaya Street, St. Petersburg 190000
M. Kh. Gadjimagomedova
Russian Federation
Mina Kh. Gadjimagomedova, Associate Researcher
Derbent 368612
L. G. Suvaryan
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