Preview

Proceedings on applied botany, genetics and breeding

Advanced search

Influence of seeding rates on the quantum yield of photosynthesis for some field crops

https://doi.org/10.30901/2227-8834-2024-4-59-67

Abstract

Background. Photosynthesis is one of the most important physiological processes in plants, affecting the productivity of agrocenoses. Creating conditions for crops to absorb and convert solar energy as effectively as possible can be a means of increasing their yields. The objective was to study the production processes and stress resistance of some crop species in order to optimize their cultivation technology.

Materials and methods. The work was carried out in the steppe and forest-steppe zone of Altai Territory. The scheme of the experiment was conducive to studying the quantum yield of photosynthesis as a method for assessing various seeding rates in the fields of sunflower grown for seeds (‘Pioneer LE 10’) and maize grown for silage (‘Clifton’). For sunflower, the rates were 35,000, 45,000, and 55,000 seeds/ha; for maize, 40,000, 50,000, and 60,000 seeds/ha. The state of the photosynthetic apparatus in plants was analyzed using the JUNIOR-PAM fluorometer (Walz, Germany) in the main phases of plant development. results. The quantum yield of photosynthesis over the growing season of sunflower, depending on the seeding rate, was the highest during flowering and ripening (up to 0.81 relative units). The highest values of the quantum yield of photosynthesis for maize were recorded in the phases of the 2nd leaf and 6–8 leaves (0.63 and 0.64 relative units, respectively).

Conclusion. The most effective development of sunflower plants, characterized by a high quantum yield of photosynthesis and high productivity, was observed at the seeding rate of 45,000 seeds/ha. The highest maize harvest for silage (1.56 t/ha) was registered under conditions favorable for this indicator at the rate of 50,000 seeds/ha. The correlation coefficient between the quantum yield of photosynthesis and crop yield was 0.7–0.8, which confirmed the dependence between those indicators and made it possible to determine the optimal sowing structure.

About the Authors

K. S. Panchenko
Altai State University
Russian Federation

Kseniya S. Panchenko - Lecturer, Postgraduate Student..

61 Lenina Ave., Barnaul 656049



N. V. Ovcharova
Altai State University
Russian Federation

Natalia V. Ovcharova - Cand. Sci. (Biology), Associate Professor.

61 Lenina Ave., Barnaul 656049



L. V. Sokolova
Altai State University
Russian Federation

liudmila V. Sokolova - Cand. Sci. (Agriculture), Associate Professor.

61 Lenina Ave., Barnaul 656049



M. M. Silantyeva
Altai State University
Russian Federation

Marina M. Silantyeva - Dr. Sci. (Biology), Professor, Head of a Department.

61 Lenina Ave., Barnaul 656049



References

1. Chepelev G.P., Mikhailova M.P. Influence of crop structure and seeding rate on the yield formation of soybean Kitrossa. Zemledelie = Crop Farming. 2020;(4):22-25. [in Russian] DOI: 10.24411/0044-3913-2020-10406

2. Conley S.P., Santini J.B. Crop management practices in Indiana soybean production systems. In: Integrated Crop Management Conference. Ames, IA: Iowa State University; 2006. p.27-37.

3. Dospekhov B.A. Methodology of field trial (with fundamentals of statistical processing of research results) (Metodika polevogo opyta [s osnovami statisticheskoy obrabotki rezultatov issledovaniy]). 6th ed. Moscow: Alyans; 2011. [in Russian]

4. Khalin N.S., Nazarova I.V., Simakova S.A., Dymova L.V., Marinenko E.A. (comp.). Monitoring soil fertility in agricultural lands of Altai Territory. Handbook (Monitoring plodorodiya pochv zemel selskokhozyaystvennogo naznacheniya Altayskogo kraya. Spravochnik). Barnaul: Paragraf; 2018. [in Russian] URL: http://agrohim22.ru/images/stories/agrohim_sprav_2019.pdf [дата обращения: 26.03.2024].

5. Kupriyanov A.N. (ed.). Environmental monitoring in coal mining areas (Ekologicheskiy monitoring v rayonakh ugle dobychi). Novosibirsk: Geo; 2017. [in Russian] URL: http://kuzbs.ru/images/stories/pdf/izdania/ekologicheskiy_monitoring.pdf [дата обращения: 27.03.2024].

6. Lysenko V.S., Varduni T.V., Soier V.G., Krasnov V.P. Plant chlorophyll fluorescence as an environmental stress characteristic: a theoretical basis of the method application. Fundamental Research. 2013;(4-1):112-120. [in Russian]

7. Mamedova R.N. Investigation of chlorophyll fluorescence parameters and fluctuating asymmetry of leaves of woody plant – Quercus castanefolia С.А. Меу. in the city of Baku, Azerbaijan. Izvestiya of Saratov University. Chemistry. Biology. Ecology. 2020;20(2):207-211. [in Russian] DOI: 10.18500/1816-9775-2020-20-2-207-211

8. Mamonov S.N., Sinegovskaya V.T., Rafalskiy S.V. Quantum yield of photosynthesis and spring wheat yielding capacity with various seeding rates. Bulletin of Altai State Agricultural University. 2013;1(99):15-17. [in Russian]

9. Nichiporovich A.A., Kuzmin Z.E., Polozova L.Ya. Guidelines for recording and monitoring the most important indicators of photosynthetic activity processes in cultivated plants (Metodicheskiye ukazaniya po uchetu i kontrolyu vazhneyshikh pokazateley protsessov fotosinteticheskoy deyatelnosti rasteniy v posevakh). Moscow: VASKhNIL; 1969. [in Russian]

10. Ninanayake A.D. Use of chlorophyll fluorescence parameters to assess drought tolerance of coconut varieties. Cocos. 2007;18:77-105. DOI: 10.4038/cocos.v18i0.991

11. Ovcharova N.V., Silanteva M.M., Belyaev V.I., Gulyanov Yu.A., Sokolova L.V., Plutalova T.G. et al. Application of methods and approaches of farming biologization for evaluation of soil fertility and potential yield under the conditions of steppe and forest-steppe zones of the Altai Region. Bulletin of Altai State Agricultural University. 2023a;9(227):5-13. [in Russian] DOI: 10.53083/1996-4277-2023-227-9-5-13

12. Ovcharova N.V., Silantieva M.M., Belyaev V.I., Gulyanov Yu.A., Sokolova L.V., Plutalova T.G. et al. Identification of fertility zones and assessment of potential crop yield based on biological farming approaches. Acta Biologica Sibirica. 2023b;9:1083-1107. DOI: 10.5281/zenodo.10255212

13. Pestunov I.A., Ovcharova N.V., Kalashnikov R.A., Belyaev V.I., Radchikov A.N., Rogoznaya A.O. Evaluation of sunflower field germination and detection of weeds by ultra-highresolution RGB images using deep learning for different agricultural techniques (classical flat-cutting processing and “no-till” system). In: Spatial Data Processing in the Tasks of Monitoring Natural and Anthropogenic Processes (SDM-2023): Proceedings of the All-Russian Conference with International Participation (August 22–25, 2023, Berdsk) (Obrabotka prostranstvennykh dannykh v zadachakh monitoringa prirodnykh i antropogennykh protsessov [SDM-2023]: Sbornik trudov vserossiyskoy konferentsii s mezhdunarodnym uchastiyem [22–25 avgusta 2023 g., g. Berdsk]). Novosibirsk: Federal Research Center for Information and Computational Technologies; 2023. p.327-335. [in Russian] DOI: 10.25743/sdm.2023.68.44.055

14. Schreiber U. Pulse-amplitude-modulation (PAM) fluorometry and saturation pulse method: an overview. In: G.C. Papageorgiou, Govindjee (eds). Chlorophyll a Fluorescence. Advances in Photosynthesis and Respiration. Vol. 19. Dordrecht: Springer; 2004. p.279-319. DOI: 10.1007/978-1-4020-3218-9_11

15. Zemlyanskaya Yu.E., Sinegovskaya V.T. Plantings of new cultivars and varietal samples of soybean as photosynthetic systems (Posevy novykh sortov i sortoobraztsov soi kak fotosinteziruyushchiye sistemy). In: Ways of Reproducing Soil Fertility and Increasing Crop Yields in the Amur Region: a Collection of Scientific Papers. Issue 10 (Puti vosproizvodstva plodorodiya pochv i povysheniya urozhaynosti selskokhozyaystvennykh kultur v Priamurye: sbornik nauchnykh trudov. Vypusk 10). Blagoveshchensk: Far Eastern State Agrarian University; 2005. p.132-127. [in Russian]


Review

For citations:


Panchenko K.S., Ovcharova N.V., Sokolova L.V., Silantyeva M.M. Influence of seeding rates on the quantum yield of photosynthesis for some field crops. Proceedings on applied botany, genetics and breeding. 2024;185(4):59-67. (In Russ.) https://doi.org/10.30901/2227-8834-2024-4-59-67

Views: 187


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


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