Preview

Title in english

Advanced search

Application of vegetation indices for comparative evaluation of soybean field germination

https://doi.org/10.32786/2071-9485-2024-02-43

Abstract

The article examines the correlations between the field germination of soybeans and the values of vegetation indices. Tests on two groups of breeding samples showed that the MCARI and NDVI indices are the most sensitive to field germination indicators. The use of vegetation indices is advisable in years with unstable field germination of soybeans as an indirect method for its assessment.

Introduction. Field germination is estimated by counting the number of germinated plants per unit area. This is expressed as a percentage of the seed sown. This method requires not only certain physical costs but also time. With the development of digital technologies in modern conditions, it is necessary to search for new methods of assessing field germination.

Object. The object of the research is the soybean competitive and preliminary variety testing nurseries and the soybean breeding and collection nursery.

Materials and methods. The research was carried out at the experimental base of the Federal Research Centre for Legumes and Cereals in the Orel region. The planting of the nurseries and the related observations were carried out according to the methods of VIR and State Agricultural Testing. A DJI Matrice 200 v2 unmanned aerial vehicle equipped with a MicaSense Altum multispectral camera was used for multispectral aerial imaging. Six flights during the main growing season. Vegetation indices were calculated: NDVI, NDRE, CLGreen, GNDVI, and MCARI.

 Results and conclusion. Tests on two groups of breeding samples showed that the correlations are stronger, with large differences in the values of field germination of cultivars on plots. The correlation coefficient (r>0.8) for most of the indices reaches its highest value on the 25th day after the appearance of the first shoots. The most sensitive to field germination are the MCARI and NDVI indices, for which the average correlation (r>0.7) remained until the beginning of August (the end of flowering for most cultivars) with average differences in field germination and until the end of August (the beginning of maturation for most soybean cultivars) with high differences in field germination (r>0.5). The use of vegetation indices is advisable in years with unstable field germination of soybeans as an indirect method for its assessment, especially when there are significant differences between the samples studied and when there are a large number of forms studied on extensive and heterogeneous crop areas. It is also relevant for breeding material testing or environmental testing to reduce the amount of groundwork when assessing soybean field germination.

About the Authors

S. V. Kiryukhin
Federal Scientific Center of Legumes and Cereals
Russian Federation

Kiryukhin Sergey Viktorovich, Candidate of Agricultural Sciences,

302502, Oryol region, Streletsky village, Molodezhnaya str., 10, building 1



R. K. Kurbanov
Federal Scientific Agroengineering Center of VIM (FSBI FNAC VIM)
Russian Federation

Kurbanov Rashid Kurbanovich, Candidate of Engineering Sciences,

109428, Moscow, 1st Institutskiy proezd, 5



S. O. Gurinovich
Federal Scientific Center of Legumes and Cereals 
Russian Federation

Gurinovich Sergey Olegovich, Senior Researcher, 

302502, Oryol region, Streletsky village, Molodezhnaya str., 10, building 1



V. I. Panarina
Federal Scientific Center of Legumes and Cereals
Russian Federation

Panarina Veronika Igorevna, Candidate of Agricultural Sciences, 

302502, Oryol region, Streletsky village, Molodezhnaya str., 10, building 1



N. I. Zakharova
Federal Scientific Agroengineering Center VIM (FSBI FNAC VIM)
Russian Federation

Zakharova Natalia Ivanovna, Junior Researcher,

109428, Moscow, 1st Institutskiy proezd, 5



References

1. Balabanov V. I., Eleseev V. V., Soldatov P. D., Babansky I. V., Romanenkova M. S. Unmanned vehicles and their application in agriculture. Science in Central Russia. 2020. № 3 (45). Pp. 31-40.

2. Beilis V. M., Tsench Yu. S. Methodological aspects of standardization of machine technologies for crop production. Electrotechnologies and electrical equipment in agroindustrial complex. 2019. № 1 (34). Pp. 61-67.

3. Lachuga Y. F., Izmailov A. Yu., Lobachevsky Y. P., Shogenov Y. H. Intensive machine technologies, robotic technology and digital systems for the production of the main groups of agricultural products. Technics and equipment for rural areas. 2018. № 7. Pp. 2-7.

4. Lobachevsky Y. P., Dorokhov A. S. Perspective scientific and technical projects in the field of mechanization and robotization of agriculture. Formation of a common scientific and technological space of the Union State: problems, prospects, innovations. Minsk, 2017. Pp. 333-343.

5. Lobachevsky Y. P., Dorokhov A. S. Digital technologies and robotized technical means for agriculture. Agricultural machines and technologies. 2021. V. 15. № 4. Pp. 6-10.

6. Izmailov A. Yu. Intellectual technologies and robotic means in agricultural production. Bulletin of the Russian Academy of Sciences. 2019. V. 89. № 5. Pp. 536-538.

7. Lobachevskiy Ya. P., Tsench Yu. S. Principles of forming the systems of machines and technologies for complex mechanization and automation of technological processes in crop production (in Russian). Agricultural machines and technologies. 2022. V. 16. № 4. Pp. 4-12.

8. Vilyunov S. D., Zotikov V. I., Sidorenko V. S., Starikova J. V., Maltsev A. A. Application of vegetation indices in the selection of winter soft wheat. Grain legumes and cereals. 2022. № 3 (43). Pp. 73-83.

9. Manylova O. V., Zharkova S. V. Field germination and safety of soybean plants to harvesting depending on the elements of agrotechnology. International Journal of Humanities and Natural Sciences. 2021. № 12-3 (63). Pp. 41-43.

10. Polukhin A. A., Tsukanova Z. R., Guseva A. A., Moloshonok A. A., Latyntseva E. V. Organization of primary seed production of new varieties of cereals, legumes, cereals and soybeans. Agriculture. 2022. No. 5. Pp. 28-31.

11. Belyshkina M. E. The current state and prospects of the world and Russian soybean markets. Agrarian Russia. 2013. No. 6. Pp. 7-11.

12. Belyshkina M., Zagoruiko M., Mironov D. The study of possible soybean introduction into new cultivation regions based on the climate change analysis and the agro-ecological testing of the varieties. Agronomy. 2023. Vol. 13. No. 2. P. 610.

13. Kurbanov R., Zakharova N. Justification and selection of vegetation indices to determine the early soybeans readiness for harvesting. E3S Web of Conferences, InterAgromash 2021. Rostov-on-Don: EDP Sciences, 2021. Vol. 273. P. 01008.


Review

For citations:


Kiryukhin S.V., Kurbanov R.K., Gurinovich S.O., Panarina V.I., Zakharova N.I. Application of vegetation indices for comparative evaluation of soybean field germination. Title in english. 2024;(2 (74)):367-376. (In Russ.) https://doi.org/10.32786/2071-9485-2024-02-43

Views: 63


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2071-9485 (Print)