Rapid assessment of main agronomic indicators in the grain of winter and spring forms of triticale using infrared spectroscopy
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 i...
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| Format: | Article |
| Language: | English |
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N.I. Vavilov All-Russian Institute of Plant Genetic Resources
2024-10-01
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| Series: | Труды по прикладной ботанике, генетике и селекции |
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| Online Access: | https://elpub.vir.nw.ru/jour/article/view/2027 |
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| author | V. S. Popov N. G. Konkova T. V. Shelenga V. I. Khoreva I. A. Kibkalo M. Kh. Gadjimagomedova L. G. Suvaryan |
| author_facet | V. S. Popov N. G. Konkova T. V. Shelenga V. I. Khoreva I. A. Kibkalo M. Kh. Gadjimagomedova L. G. Suvaryan |
| author_sort | V. S. Popov |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-09f68cc0b4bb44bdb33bbf1eb3bd62e2 |
| institution | Kabale University |
| issn | 2227-8834 2619-0982 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | N.I. Vavilov All-Russian Institute of Plant Genetic Resources |
| record_format | Article |
| series | Труды по прикладной ботанике, генетике и селекции |
| spelling | doaj-art-09f68cc0b4bb44bdb33bbf1eb3bd62e22025-02-03T08:31:17ZengN.I. Vavilov All-Russian Institute of Plant Genetic ResourcesТруды по прикладной ботанике, генетике и селекции2227-88342619-09822024-10-011853617010.30901/2227-8834-2024-3-61-70815Rapid assessment of main agronomic indicators in the grain of winter and spring forms of triticale using infrared spectroscopyV. S. Popov0N. G. Konkova1T. V. Shelenga2V. I. Khoreva3I. A. Kibkalo4M. Kh. Gadjimagomedova5L. G. Suvaryan6N.I. Vavilov All-Russian Institute of Plant Genetic ResourcesN.I. Vavilov All-Russian Institute of Plant Genetic ResourcesN.I. Vavilov All-Russian Institute of Plant Genetic ResourcesN.I. Vavilov All-Russian Institute of Plant Genetic ResourcesN.I. Vavilov All-Russian Institute of Plant Genetic ResourcesN.I. Vavilov All-Russian Institute of Plant Genetic Resources, Dagestan Experiment StationN.I. Vavilov All-Russian Institute of Plant Genetic Resources; Gyumri Breeding StationBackground. 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.https://elpub.vir.nw.ru/jour/article/view/2027spring and winter triticale formscalibration modelnear-infrared spectroscopycolorationash contentproteinmoisturestarchamylasefiber |
| spellingShingle | V. S. Popov N. G. Konkova T. V. Shelenga V. I. Khoreva I. A. Kibkalo M. Kh. Gadjimagomedova L. G. Suvaryan Rapid assessment of main agronomic indicators in the grain of winter and spring forms of triticale using infrared spectroscopy Труды по прикладной ботанике, генетике и селекции spring and winter triticale forms calibration model near-infrared spectroscopy coloration ash content protein moisture starch amylase fiber |
| title | Rapid assessment of main agronomic indicators in the grain of winter and spring forms of triticale using infrared spectroscopy |
| title_full | Rapid assessment of main agronomic indicators in the grain of winter and spring forms of triticale using infrared spectroscopy |
| title_fullStr | Rapid assessment of main agronomic indicators in the grain of winter and spring forms of triticale using infrared spectroscopy |
| title_full_unstemmed | Rapid assessment of main agronomic indicators in the grain of winter and spring forms of triticale using infrared spectroscopy |
| title_short | Rapid assessment of main agronomic indicators in the grain of winter and spring forms of triticale using infrared spectroscopy |
| title_sort | rapid assessment of main agronomic indicators in the grain of winter and spring forms of triticale using infrared spectroscopy |
| topic | spring and winter triticale forms calibration model near-infrared spectroscopy coloration ash content protein moisture starch amylase fiber |
| url | https://elpub.vir.nw.ru/jour/article/view/2027 |
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