THE EVALUATION OF SWEET CORN BASIC MATERIAL FOR BREEDING IN ARID CONDITIONS OF THE SARATOV REGION

S A GUSEVA; G A MASLOVA; O S NOSCO

UDC

633.152

THE EVALUATION OF SWEET CORN BASIC MATERIAL FOR BREEDING IN ARID CONDITIONS OF THE SARATOV REGION

Published in Vestnik of Omsk SAU · Pages 54–65 · Rubric: AGRONOMY

EDN: ITCIQF

Received: 06.12.2024 Accepted: 15.12.2024 Published: 25.12.2024

Authors

S A GUSEVA

G A MASLOVA

O S NOSCO

S A GUSEVA

Russian Scientific Research Institute of Sorghum and Corn "Rossorgho"

G A MASLOVA

Russian Scientific Research Institute of Sorghum and Corn "Rossorgho"

O S NOSCO

Russian Scientific Research Institute of Sorghum and Corn "Rossorgho"

ABSTRACT

The work describes the results of studying the main yield’s elements of sweet corn collection samples in the arid conditions of the Saratov region, taking into account the requirements of standards for the further creation of new genetic forms. An assessment of paired correlation coefficients between economically important characteristics of collection varieties in the phase of technical ripeness was carried out. The strong positive correlation (r>ǀ70ǀ%) was revealed between weight of corn cob in wrapper and its weight without wrapper; between the number of kernels in a row and the number of kernels on the ear cob, the number of kernels on the ear cob and its diameter, the grained part’s length and the length of the cob. We’ve found the strong correlations between yield and weight of the cob in a wrapper and without it (r = 0.78 and r = 0.88 respectively) and the middle correlation with the number of cobs (r =0.61). The middle correlations were revealed between yield and plant height, grain content of the cob, the number of kernels in a row and the number of kernels on the cob. Using the method of factor analysis, significant weights of the variables on the components were established. Most of the features we studied accounted for about the half of the accumulated dispersion and attributed to the first factor: the weight of the cob in the wrapper, the number of grains in the cob, the diameter of the cob, the number of rows of grains, grain yield, the length of the grained part of the cob, the weight of the cob without the wrapper and the height of its attachment. These features contribute most to the overall variance. We think that the assessment of these particular features should not be neglected when creating future variety model. Of the studied genotypes of the collection, the samples of Tsukerka, k-4471, k-4840 correspond to the proposed model of the variety to the greatest extent. We’ll included them in the selection process for creation the varieties, lines and heterotic hybrids.

KEYWORDS

sweet corn, correlation coefficient, main components method, yield, valuable features, model population

1. Poskrebysheva M.M., Ismagilov K.R. Vliyanie gidrotermicheskih usloviy na rost i razvitie rasteniy kukuruzy // Vestnik Bashkirskogo gosudarstvennogo agrarnogo universiteta. 2020. №. 2. S. 44-50. EDN: https://elibrary.ru/ARACSS

2. Adaptivnost', ustoychivost' kak napravleniya selekcii k izmenyayuschimsya usloviyam sredy / A.V. Kornienko, S.I. Skachkov, L.V. Semenihina [i dr.] // Oroshaemoe zemledelie. 2021. № 2. S. 17-21. EDN: https://elibrary.ru/HFNGJU

3. Yield responses to planting density for US modern corn hybrids / Y. Assefa, P.V. Vara Rrasad, P. Carter [et al.] // A synthesis-analysis. Crop Sci. 2016. pr. 2802-2817.

4. Novoselov S.N. Filosofiya idiotipa sel'skohozyaystvennyh kul'tur. Metodologiya i metodika // Nauchnyy zhurnal KubGAU. 2006. № 24. URL: https://cyberleninka.ru/article/n/filosofiya-ideotipa-se lskohozyaystvennyh-kultur-i-metodologiya-i-metodika (data obrascheniya: 14.01.2024).

5. Kuzenko M.V. Analiz elementov struktury urozhaya sorta AGU 75 sootvetstviya parametram modeli ideotipa zimuyuschego ovsa // Novye tehnologii New technologies. 2022. 18(4). S.172-179. DOI:https://doi.org/10.47370/2072-0920-2022-18-4-172-179 EDN: https://elibrary.ru/GCCMDC

6. Demina I.F. Izmenchivost' i vzaimosvyaz' selekcionno-cennyh priznakov sortov i liniy yarovoy myagkoy pshenicy v usloviyah Srednego Povolzh'ya // Agrarnaya nauka Evro-Severo-Vostoka. 2023. № 24(5). S. 739-748.https://doi.org/10.30766/2072-9081. 2023.24.5.739-748 (data obrascheniya 02.02.2024). DOI:https://doi.org/10.30766/2072-9081.2023.24.5.739-748( EDN: https://elibrary.ru/MMQUTD

7. Pushkarev D.V., Chursin A.C., Kuz'min O.G. Korrelyaciya urozhaynosti s elementami produktivnosti coptov yarovoy myagkoy pshenicy v usloviyah stepnoy zony Omckoy oblasti // Vestnik Omckogo gosudarstvennogo agpapnogo universiteta. 2018. № 3(31). S. 26-35.

8. Berg R.L. Korrelyacionnye pleyady i stabiliziruyuschiy otbor // Primenenie matematicheskih metodov v biologii. L.: 1964. S. 23-62.

9. Zenkina K.V., Aseeva T.A. Model' adaptirovannogo sorta yarovogo tritikale dlya usloviy Dal'nego Vostoka // Rossiyskaya sel'skohozyaystvennaya nauka. 2020. № 3. S. 3-5. DOI:https://doi.org/10.31857/S2500262720030011 EDN: https://elibrary.ru/PIYABR

10. Izuchenie korrelyacionnyh svyazey mezhdu osnovnymi hozyaystvenno-poleznymi priznakami u inbrednyh liniy kukuruzy omskoy selekcii / B.C. Il'in, G.V. Getc, C.B. Gubin [i dr.] // Uspehi sovremennogo estestvoznaniya. 2016. № 11(1). S. 43-48.

11. Sotchenko E.F., Konareva E.A. Korrelyacionnaya svyaz' mezhdu hozyaystvenno-poleznymi priznakami u liniy saharnoy kukuruzy // Izvestiya Kabardino-Balkarskogo nauchnogo centra RAN. 2024. T. 26. № 3. S. 103-111. DOI:https://doi.org/10.35330/1991-6639-2024-26-3-103-111 EDN: https://elibrary.ru/UWNPAF

12. Chilashvili I.M. Ocenka novyh samoopylennyh liniy dlya selekcii srednespelyh gibridov kukuruzy v usloviyah central'noy zony Krasnodarskogo kraya: dis.. kand. s.-h. nauk. Krasnodar. 2016. 152 c. EDN: https://elibrary.ru/XIFFIA

13. Genetika kolichestvennyh i kachestvennyh priznakov kukuruzy / E.G. Shmaraev, G.I. Vedeneev, A.P. Podol'skaya [i dr.]. SPb.: 1995. S.168.

14. Elmore R., Abendrof L. To be determined: Ear row numbers and kernels per row in corn // Integrated Crop Management. №496(13). 2006. URL: https://www.agry.purdue.edu/ext/corn/news/timeless/EarSize.html.

15. Nielsen R.L. (Bob) Kernel Set Scuttlebutt. Corny News Network // Purdue Univ. Agronomy Extension. 2020. URL: http://www.kingcorn.org/news/ timeless/KernelSet.html [URL accessed June 2023].

16. Ekologicheskiy podhod v adaptirovannoy sisteme selekcii srednepozdnih gibridov kukuruzy (FAO 300-399) v Nizhnem Povolzh'e / S.A. Zaycev, V.I. Zhuzhukin, L.A. Gudova [i dr.] // Agrarnyy nauchnyy zhurnal. 2021. № 3. S. 19-24. DOI:https://doi.org/10.28983/asj.y2021i3pp19-24 EDN: https://elibrary.ru/LITLEP

17. Rezul'taty ekologicheskogo sortoispytaniya novyh srednerannih gibridov kukuruzy (FAO 250-299) v Nizhnem Povolzh'e / D.P. Volkov, V.I. Zhuzhukin, S.A. Zaycev [i dr.] // Uspehi sovremennogo estestvoznaniya. 2020. № 4. S. 22-29. DOI:https://doi.org/10.17513/use.37357 EDN: https://elibrary.ru/VLMIOO

18. Gubin S.V., Loginova A.M., Getc G.V. Novye inbrednye linii kukuruzy Sibirskogo filiala Vserossiyskogo NII kukuruzy // Vestnik Omckogo gosudarstvennogo agpapnogo universiteta. 2021. S. 33-40.

19. Zhuzhukin V.I. Selekciya kukuruzy v Nizhnem Povolzh'e: dis. …d-ra s.-h. nauk. M.: 2002. 510 s. EDN: https://elibrary.ru/QDPIPR

20. Ispol'zovanie biometricheskih metodov dlya ocenki model'noy populyacii saharnoy kukuruzy / Guseva S.A., Bashinskaya O.S., Nosko O.S. [i dr.] // Journal of Agriculture and Environment: elektron. nauch. zhurnal. 2022. № 8 (28). DOI:https://doi.org/10.23649/jae.2022.28.8.006

21. Chertko N.K., Karpichenko A.A. Matematicheskie metody v geografii: ucheb.-metod. posobie. Minsk: Izd-vo Belorusskogo un-ta. 2009. 189 s. URL: https://geo.bsu.by/images/pres/soil/mmg/mmg05.pdf. EDN: https://elibrary.ru/QKJDDX

22. Ispol'zovanie metodov mnogomernoy statistiki dlya ocenki model'noy populyacii kukuruzy / L.A. Gudova, S.A. Zaycev, V.I. Zhuzhukin [i dr.] // Agrarnyy nauchnyy zhurnal. 2021. № 7. S. 9-15. DOI:https://doi.org/10.28983/asj.y2021i7pp9-15 EDN: https://elibrary.ru/XYMCRV

23. Metodika Gosudarstvennogo sortoispytaniya sel'skohozyaystvennyh kul'tur; pod obsch. red. d-ra s.-h. nauk M.A. Fedina. M.: 1983. Vyp. 3. 352 s.

24. Dospehov B.A. Metodika polevogo opyta (s osnovami statisticheskoy obrabotki rezul'tatov issledovaniy): uchebnik. M.: 2012. 412 s. EDN: https://elibrary.ru/QLCQEP

25. Zhuzhukin V.I., Zaycev S.A., Volkov D.P. Metodicheskie podhody v selekcii ochen' rannih (FAO 100-149) gibridov kukuruzy v Nizhnem Povolzh'e // Agrarnaya nauka. 2018. № 6. S. 48-50. EDN: https://elibrary.ru/XUJQYX

26. GOST 32882-2014. Kukuruza svezhaya v pochatkah dlya promyshlennoy pererabotki. Tehnicheskie usloviya. M.: Standartinform. 2018. 6 s.

JATS XML

Editor-in-chief

Oksana Shumakova

responsible secretary

Elena Rodomazova

OT Other Indexing database

GOST

GUSEVA S. A., MASLOVA G. A., NOSCO O. S. THE EVALUATION OF SWEET CORN BASIC MATERIAL FOR BREEDING IN ARID CONDITIONS OF THE SARATOV REGION // . 2024. pp. 54-65. EDN: ITCIQF. (Date of access 19.08.2026).

MLA

S A GUSEVA, MASLOVA G. A., NOSCO O. S.. "THE EVALUATION OF SWEET CORN BASIC MATERIAL FOR BREEDING IN ARID CONDITIONS OF THE SARATOV REGION." (2024): 54-65. EDN: ITCIQF.

APA

GUSEVA S. A., MASLOVA G. A., NOSCO O. S. (2024). THE EVALUATION OF SWEET CORN BASIC MATERIAL FOR BREEDING IN ARID CONDITIONS OF THE SARATOV REGION. , 54-65. EDN: ITCIQF.

Chicago

S A GUSEVA, MASLOVA G. A., NOSCO O. S.. "THE EVALUATION OF SWEET CORN BASIC MATERIAL FOR BREEDING IN ARID CONDITIONS OF THE SARATOV REGION." , no. (2024): 54-65. EDN: ITCIQF.

WIKI

{{cite journal | author = GUSEVA S. A., MASLOVA G. A., NOSCO O. S. | title = THE EVALUATION OF SWEET CORN BASIC MATERIAL FOR BREEDING IN ARID CONDITIONS OF THE SARATOV REGION | journal = | year = 2024 | pages = 54-65 }} EDN: ITCIQF

Copy

Export: BibTeX EndNote RefMan RusMARC

THE EVALUATION OF SWEET CORN BASIC MATERIAL FOR BREEDING IN ARID CONDITIONS OF THE SARATOV REGION

Confirmation