QTL analysis and management of plant productivity in the precision agriculture

Modern crop cultivation technologies have reached the limits of “saturation” both in the ecological (environmental pollution, suppression of the mechanisms of its self-regulation), energy (exponential growth of irreplaceable energy costs for each additional unit of production), and in production. In this regard, environmental factors (air drought, frosts, active temperatures, etc.), which cannot be optimized, are becoming increasingly important in ensuring a steady increase in the yield of cultivated plant forms. In recent decades, more and more attention has been paid to technogenic and biological systems of agriculture, based on the ecologization and biologization of the intensification processes of adaptive crop production. Such approaches are the precision agriculture system (PA) and QTL analysis. Using these approaches allows not only to ensure a steady increase in productivity due to the combined use of the advantages of precision farming and molecular genetic assessment, including the creation of new forms and varieties that are responsive to РА agricultural practices, but also to level the negative impact of abiotic and biotic environmental factors that limit the size and quality of the crop as well as plant productivity. It is shown that the strategy of adaptive intensification of crop production through the use of the TK system and QTL analysis approaches is not alternative to existing farming systems, however, it focuses modern agriculture on the growth of knowledge-intensive agricultural production as a whole. An analysis of the causes under consideration, the current unfavorable trends in modern crop production and agriculture, clearly shows their scale and long-term nature, and therefore the inevitability of the search for new priorities for intensification of crop production and agriculture, providing a qualitatively new stage of their development in the interests of man.

adaptive crop production, precision agriculture, QTL analysis, productivity, yield growth

1. Zhuchenko A.A. Ecological genetics of cultivated plants. Kishinev: Schtiintsa. 1980. 588 p. (In Russ.)

2. Zhuchenko A.A. Adaptive crop production (ecological and genetic basis). Kishinev: Schtiintsa. 1990. 432 p. (In Russ.)

3. Zhuchenko A.A. Adaptive plant breeding system (ecological and genetic basis). In two volumes. M.: Publishing House of RUDN. 2001. 780 p. (In Russ.)

4. Zhuchenko A.A. Adaptive crop production (ecological and genetic basis). Theory and practice. In three volumes. M.: Publishing house Agrorus. 2009. 1104 p. (In Russ.)

5. Yakushev V.P., Poluektov RA. Precision agriculture. Conceptual provisions. Materials of the scientific session of the Russian Agricultural Academy “Scientific and technological progress in the agro-industrial complex of Russia - a strategy of machine-technological support for the production of agricultural products for the period until 2010” (October 1314, 2003). M.: Russian Agricultural Academy. 2004. P.115-123. (In Russ.)

6. Yakushev V.V. Precision agriculture: theory and practice. SPb.: FGBNU AFI. 2016. 364 p. (In Russ.)

7. Kiryushin V.I. The theory of adaptive landscape farming and the design of agrolandscapes. M.: KolosS. 2011. 443 p. (In Russ.)

8. Yakushev V.P. On the way to precision farming. SPb.: Publishing House of PIAF RAS. 2002. 458 p. (In Russ.)

9. Mikhailenko I.M. Precision agriculture systems management. SPb.: Publishing House of SPbGU. 2005. 234 p. (In Russ.)

10. Poluektov R.A., Smolyar E.I., Terleev V.V., Topazh A.G. Models of the production process of crops. SPb.: Publishing House of SPbGU. 2006. 396 p. (In Russ.)

11. Yakushev V.P., Yakushev V.V. Information support of precision agriculture. SPb.: Publishing House of PNPI RAS. 2007. 384 p. (In Russ.)

12. Yakushev V.P., Yakushev V.V. Mathematical models and methods for implementing information technology in precision farming. Reports of RAAS. 2008;(4):56-59. (In Russ.)

13. Yakushev V.V. Intelligent management systems for resource-saving precision agriculture technologies. Ecological systems and devices. 2010;(7):26-33. (In Russ.)

14. Kanash E.V., Osipov Yu.A. Diagnostics of the physiological state and plant resistance to the action of stress factors of the environment (by the example of UV-B radiation). SPb. RAAS / GNU AFI of the Russian Agricultural Academy. 2008. 35 p. (In Russ.)

15. Yakushev V.P., Kanash E.V., Osipov Yu.A., Yakushev V.V., Lekomtsev P.B., Voropaev V.V. Optical criteria for contact and remote diagnostics of the state of crops. Selskokhozyaistvennaya biologiya. 2010;(3):94-101. (In Russ.)

16. Zavarzina A.G., Rozanova M.S., Sukhanova N.I. Humus content and reflectivity of the upper soil horizons in the south of the European part of Russia. Pochvovedenie. 1995;(10):1248-1255. (In Russ.)

17. Orlov D.S., Sukhanova N.I., Rozanova M.S. Spectral reflectivity of soils and their components. M.: Publishing house of Moscow State University. 2001. 176 p. (In Russ.)

18. Jordan C.F. Derivation of leaf area index from quality of light on the forest floor. Ecology. 1969;(50):663-666.

19. Tucker C.J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment. 1979;(8):127-150.

20. Rouse J.W., Haas R.H., Schell J.A., Deering D.W. Monitoring vegetation systems in the great plains with ERTS. 3rd ERTS Symposium (NASA SP-351). NASA. Washington, DS. 1973;(1):309-317.

21. Zhuchenko A.A. Genetics of tomatoes. Kishinev: "Stiinza". 1973. 663 p. (In Russ.)

22. Sandukhadze B.I., Zhuravleva E.V., Kochetygov G.V. Non-chernozem winter wheat in the food security solution of the Russian Federation. M.: LLC “NIPKTS Voskhod-A”. 2011. 156 p. (In Russ.)

23. Chesnokov Yu.V., Kanash E.V., Mirskaya G.V., Kocherina N.V., Rusakov D.V., Lohwasser U., Börner A. QTL mapping of diffuse reflectance indices of leaves in hexaploid bread wheat (Triticum aestivum L.). Russian Journal of Plant Physiology. 2019;(66):77–86.

24. Habash D.Z., Bernard S., Schondelmaier J., Weyen J., Quarrie S.A. The genetics of nitrogen use in hexaploidy wheat: N utilisation, development and yield. Theor. Appl. Genet. 2007;(114):403–419.

25. Parent B., Shahinnia F., Maphosa L., Berger B., Rabie H., Chalmers K., Kovalchuk A., Langridge P., Fleury D. Combining field performance with controlled environment plant imaging to identify the genetic control of growth and transpiration underlying yield response to water-deficit stress in wheat. J. Exp. Bot. 2015;(66):5481–5492.

26. Börner A., Schumann E., Furste A., Goster H., Leithold B., Roder M.S., Weber W.E. Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat (Triticum aestivum L.). Theor. Appl. Genet. 2002;(105):921–936.

27. Eriksen L., Borum F., Jahoor A. Inheritance and localization of resistance to Mycosphaerella graminicola causing septoria tritici blotch and plant height in the wheat (Triticum aestivum L.) genome with DNA markers. Theor. Appl. Genet. 2003;(107):515–527.

28. Ermakov E.I., Makarova G.A., Nerusheva G.V. Programmed production of wheat lines transgressive in terms of heading in a regulated agroecosystem. Guidelines. SPb.: RAAS, GNU AFNII. 2002. 32 p. (In Russ.)

29. Panova G.G., Dragavtsev V.A., Kanash E.V., Arkhipov M.V., Chernousov I.N. Scientific and technical basis for optimizing the production process in a regulated agroecosystem. Agrophysica. 2011;(1):29–37. (In Russ.)

30. Chesnokov Yu.V., Mirskaya G.V., Kanash E.V., Kocherina N.V., Rusakov D.V., Lohwasser U., Börner A. QTL identification and mapping in soft spring wheat (Triticum aestivum L.) under controlled agroecological and biological testing area conditions with and without nitrogen fertilizer. Russian Journal of Plant Physiology. 2018;(65):123–135.

31. Chesnokov Yu.V., Syukov V.V., Zhuravleva E.V., Khomyakov Yu.V., Goncharova E.A., Kocherina N.V., Gulaeva N.V., Lovasser U., Börner A. QTL mapping of agronomically significant traits in spring bread wheat (Triticum aestivum L.) in different ecological-geographical regions of Russia. Proc. All-Russian Scientific Conf. with Int. Participation and a School for Young Scientists Dedicated to the 125th anniversary of the Institute of Plant Physiology. K.A. Timiryazev RAS "Fundamental and Applied Problems of Modern Experimental Plant Biology" (November 2327, 2015). Moscow: IPR RAS. 2015. P. 708-712. (In Russ.)

32. Egorova K.V., Sinyavina N.G., Kochetov A.A., Chesnokov Yu.V. Assessment of significant for breeding morphological traits in the double haploid population of Brassica rapa L. in controlled conditions of a regulated agroecosystem. Vegetable crops of Russia. 2020;(4):28-31. (In Russ.) https://doi.org/10.18619/2072-9146-2020-4-28-31