ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 3, pp. 105-109

Molecular genetic characterization of remote-optical methods data for effective selection of genotypes for plant breeding

N.V. Kocherina 1 
1 Agrophysical Research Institute, Saint Petersburg, Россия
Accepted: 10.03.2019
DOI: 10.21046/2070-7401-2019-16-3-105-109
The paper describes the use of data obtained using remote-optical methods, diffuse reflection indices of the leaves of a cultivated plant for further analysis in the molecular-genetic mapping of the so-called loci of quantitative traits (QTL) of reflection indexes under controlled growing conditions. The mapping of chromosome loci involved in the manifestation of the studied physiological traits of leaf plate reflection allows establishing not only localization of identified QTLs on chromosomes, but also which parental form was introduced by one or another allele, as well as the percentage of phenotypic variability determined by the identified and mapped QTL. This allows the most effective identification of promising genotypes with the desired economically valuable traits. This approach is applicable only to mapping populations of plants whose genome is saturated with molecular markers. The use of non-invasive optical methods makes it possible with high throughput to estimate the intensity of the photosynthetic apparatus of plants and can be used for productive selection of promising genotypes in the selection of cultivated plants for economically valuable parameters not only under controlled conditions of agroecobio polygon, but also further in field conditions. In addition, knowledge of the determinants that determine the manifestation of various types of economically valuable plant traits makes it possible to more efficiently manage plant productivity as part of the implementation of precision agriculture programs.
Keywords: non-invasive optical methods, mapping of quantitative trait loci, reflection indexes, controlled conditions of controlled agroecosystem, selection of genotypes for breeding
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  1. Dragavtsev V. A., Litun P. P., Shkel I. M., Nechiporenko N. N., Model’ ekologo-geneticheskogo kontrolya kolichestvennykh priznakov rastenii (Model of ecological and genetic control of quantitative traits of plants), Doklady AN SSSR, 1984, Vol. 274, No. 3, pp. 720–723.
  2. Kanash E. V., Mirskaya G. V., Rusakov D. V., Chesnokov Yu. V., Opticheskie kriterii kolichestvennoi otsenki aktivnosti fotosinteticheskogo apparata i identifikatsii genotipov pshenitsy po vysokoi effektivnosti ispol’zovaniya azota (Optical criteria for quantifying the activity of the photosynthetic apparatus and identifying wheat genotypes on high efficiency of use of nitrogen), In: Primenenie sredstv distantsionnogo zondirovaniya v selskom khozyaistve (Application of remote sensing techniques in agriculture), Saint Petersburg, 2018, pp. 131–138.
  3. Chesnokov Yu. V., Kartirovanie lokusov kolichestvennykh priznakov u rastenii (Mapping of quantitative trait loci in plants), Saint Petersburg: VIR, 2009, 100 p.
  4. Chesnokov Yu. V., Molekulyarno-geneticheskie markery i ikh ispol’zovanie v predselektsionnykh issledovaniyakh (Molecular genetic markers and their use in preselection research), Saint Petersburg: AFI, 2013, 116 p.
  5. Chesnokov Yu. V., Artemyeva A. M., Assotsiativnoe kartirovanie u rastenii (Associative mapping in plants), Sel’skokhozyaistvennaya biologiya, 2011, No. 5, pp. 3–16.
  6. Chesnokov Yu. V., Kanash E. V., Mirskaya G. V., Kocherina N. V., Rusakov D. V., Lohwasser U., Börner A., Kartirovanie QTL indeksov diffuznogo otrazheniya list’ev yarovoi geksaploidnoi pshenitsy (Triticum aestivum L.) (Mapping of QTL of diffuse reflection indexes of leaves of spring hexaploid wheat (Triticum aestivum L.)), Fiziologiya rastenii, 2019, Vol. 66, No. 1, pp. 46–57.
  7. Kanash E. V., Osipov Yu. A., Optical signals of oxidative stress in crops physiological state diagnostics, Proc. 7th European Conf. Precision Agriculture (ECPA 2009), Wageningen, 2009, pp. 81–89.
  8. Kanash E. V., Panova G. G., Blokhina S. Yu., Optical criteria for assessment of efficiency and adaptogenic characteristics of biologically active preparations, Acta Horticulturae, 2013, Vol. 1009, pp. 37−44.
  9. Kocherina N. V., Artemyeva A. M., Chesnokov Yu. V., Use of LOD-score technology in mapping quantitative trait loci in plants, Russian Agricultural Sciences, 2011, Vol. 37, pp. 201−204.
  10. Tanksley S. D., Mapping polygenes, Annual Reviews of Genetics, 1993, Vol. 27, pp. 205–233.
  11. Yakushev V., Kanash E., Rusakov D., Blokhina S., Specific and non-specific changes in optical characteristics of spring wheat leaves under nitrogen and water deficiency, Proc. 11th European Conf. Precision Agriculture (ECPA 2017), Edinburgh, UK, 2017, Vol. 8, Special Issue 2, pp. 229–232.