Correlation between economically useful traits in sugar corn lines
E.F. Sotchenko, E.A. Konareva
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Abstract. To create highly productive corn hybrids, it is necessary to have high-quality linear material of inbred lines, which must have a number of economically useful traits, as well as be adapted to agroclimatic conditions. This article presents the result of a study of economically useful traits of sweet corn lines and their interrelationship, as well as the influence of weather conditions on the formation of these traits for the period from 2020 to 2022 research. All selected lines are presented from the available material in the collection of the Federal State Budgetary Institution All-Russian Research Institute of Corn, which is located in the Foothill zone of the Stavropol Territory, Pyatigorsk. The object of the research was 10 lines of sweet corn created by breeders of our institute. The study revealed a direct correlation between such economically useful traits as plant height and height of attachment of the cob (r = 0.92), the number of days before flowering of the cob and plant height (r = 0.99), the weight of 1000 seeds and the number rows (r = 0.78), and other characteristics that are in direct relationship with each other, as well as economically useful characteristics that do not bear any relationship between variations, for example: the duration of the germination period – flowering of the cob and the length of the cob (r = –0.68), grain weight per cob and weight of 1000 grains (r = –0.63), grain weight per cob and plant height (r = –0.80), etc. Based on the research results, recommendations for practical selection are given, which will be useful for creating new generation hybrids.
Keywords: corn, inbred lines, correlation coefficient, correlation interactions, economically valuable traits
For citation. Sotchenko E.F., Konareva E.A. Correlation between economically useful traits in sugar corn lines. News of the Kabardino-Balkarian Scientific Center of RAS.2024. Vol. 26. No. 3. Pp. 103–111. DOI: 10.35330/1991-6639-2024-26-3-103-111
References
- Volkova A.S., Petelin I.S. Sweet corn in the Central zone of the Krasnodar Territory. Materialy VIII mezhdunarodnoy nauchno-prakticheskoy konferentsii «Sovremennoye sostoyaniye, problemy i perspektivy razvitiya agrarnoy nauki» [Materials of the VIII international scientific and practical conference “Current state, problems and prospects for the development of agricultural science”]. Simferopol, 2023. P. 14. (In Russian)
- Lemeshev N.A., Gulnyashkin A.V., Novichikhin A.P., Varlamova I.N. Study and evaluation of new maize lines for specific combinative ability in diallelic crosses. Sb. trudov Materialy mezhdunarodnoy nauchno-prakticheskoy konferentsii «Resursosberezheniye i adaptivnost’ v tekhnologiyakh vozdelyvaniya sel’skokhozyaystvennykh kul’tur i pererabotki produktsii rasteniyevodstva» [Sat. proceedings Materials of the international scientific and practical conference “Resource saving and adaptability in technologies for cultivating agricultural crops and processing crop products”]. 2018. Pp. 245–248. (In Russian)
- Galgovskaya L.A., Terkina O.V., Romanova A.N. Combination ability of new inbred corn lines bred by VNIIK. News of the Kabardino-Balkarian Scientific Center of RAS. 2023. No. 6(116). Pp. 264–269. DOI: 10.35330/1991-6639-2023-6-116-264-269. (In Russian)
- Sotchenko V.S., Gorbacheva A.G., Vetoshkina I.A., Orlyanskaya N.A. Characteristics of elite corn lines according to the main economically valuable traits. News of the KabardinoBalkarian Scientific Center of RAS. 2021. No. 2(100). Pp. 60–67. DOI: 10.35330/1991-6639-2021-2-100-60-67. (In Russian)
- Fedorova A.A., Lemesheva A.V. Classification of new maize inbred lines using cluster analysis. Trudy Kubanskogo gosudarstvennogo agrarnogo universiteta [Proceedings of the Kuban State Agrarian University]. 2022. No. 96. Pp. 189–193. DOI: 10.21515/1999-1703-96-189-193. (In Russian)
- Sotchenko Yu.V., Galgovskaya L.A., Terkina O.V., Romanova A.N., Pozdnyakov A.Yu., Zhirkova E.V. Study of new inbred lines of corn selected by VNIIK. Kukuruza i sorgo [Corn and sorghum]. 2019. No. 1. Pp. 30–34. DOI: 10.25715/ KS.2019.1.26879. (In Russian)
- Volkov D.P., Zaitsev A.S., Babushkin D.D., Rozhkov P.Yu. Parameters of the corn yield structure in a diallelic scheme. Sb. trudov konferentsii «Aktual’nyye problemy razvitiya nauchnykh issledovaniy i innovatsiy v sel’skokhozyaystvennom proizvodstve» [Sat. proceedings of the conference «Current problems in the development of scientific research and innovation in agricultural production»]. Belgorod, 2023. Pp. 241–246. (In Russian)
- Lemeshev N.A., Zemtsev A.A., Gulnyashkin A.V. Characteristics of new self-pollinated lines of corn for productivity and quantitative traits of its components. Sb. Mezhdunarodnoy nauchnoprakticheskoy konferentsii s elementami shkoly molodykh uchenykh «Nauchnyye prioritety adaptivnoy intensifikatsii sel’skokhozyaystvennogo proizvodstva» [Sat. International scientific and practical conference with elements of a school for young scientists «Scientific priorities of adaptive intensification of agricultural production»]. Krasnodar, 2019. Pp. 51–55. (In Russian)
- Dospehov B.A. Metodika polevogo opyta [Field experiment methodology]. Moscow: Agropromizdat, 1985. Pp. 228–261. (In Russian)
- Sotchenko V.S., Sotchenko E.F., Konareva E.A. Study of source material for sweet corn breeding in the Foothill zone of the Stavropol Territory. Kukuruza i sorgo [Corn and sorghum]. No. 1. Pp. 15–20. EDN: YTPHUO. (In Russian)
Information about the authors
Elena F. Sotchenko, Candidate of Biological Sciences, Leading Researcher, Department of Breeding for Immunity, All-Russian research scientific institute of corn;
357502, Russia, Pyatigorsk, 14-o Ermolov street, building 1;
elena.minencova@list.ru, ORCID: https://orcid.org/0000-0002-3451-155Х, SPIN-code: 7669-0336
Elena A. Konareva, Senior Researcher, Department of Breeding for Immunity, All-Russian research scientific institute of corn;
357502, Russia, Pyatigorsk, 14-o Ermolov street, building 1;
ea7514@mail.ru, ORCID: https://orcid.org/0000-0001-6781-3186, SPIN-code: 8573-8442










