Селекційна цінність нестрілкуючих форм часнику озимого

V. V Yatsenko

doi:10.21498/2518-1017.18.3.2022.268999

Authors

V. V Yatsenko Uman National University of Horticulture, Ukraine https://orcid.org/0000-0003-2989-0564

DOI:

https://doi.org/10.21498/2518-1017.18.3.2022.268999

Keywords:

reduced scape, coefficient of ecological variation, coefficient of genetic variation, stability, bulb weight, yield

Abstract

Purpose. To investigate the degree of reduced scape of softneck collection specimens of winter garlic of different ecological and geographical origin in the conditions of the Right Bank Forest-Steppe of Ukraine. Methods. During 2020–2022, nine local and introduced varieties of winter garlic (Nos. 19, 27, 33, 43 and 44 from Cherkasy) were studied in field conditions (Uman, 48°46’N, 30°14’E) region, No. 14 from Ternopil region, No. 1 from Spain, No. 16 from France and No. 35 from Azerbaijan). Generally accepted methods of genetico-statistical analysis were used to evaluate the garlic collection. Results. The research revealed that the weight of the bulb decreased by 7.6–31.1%, depending on the sample, and the yield by 6.1–38.6% during the formation of a reduced scape. Among the collection samples, according to the “bulb weight” indicator, Nos. 16 and 44 stood out – 57.22 and 52.24 g, respectively, of the sample. Adaptable for this feature were samples Nos. 16, 19 and 44; intensive – Nos. 16, 27, 33 and 44, and stable samples were Nos. 14, 19, 35 and 43. A significant relationship between the coefficient of genetic and environmental variation (CVG/CVA) for the traits “bulb weight” and “yield” was revealed. However, CVG/CVA ratio ≥ 1 is required to obtain high performance. Samples were selected as the initial material for further breeding based on the “yield” feature: according to adaptability and ecological plasticity – Nos. 16 and 44; according to stability – Nos. 19, 35 and 43 and samples of the intensive type – 16, 27, 33 and 44, which will ensure high yields in optimal cultivation conditions. All studied samples that formed air bulbs were characterized by a very large 1000 bulb weight, on average 1156.76 g. The maximum of 1000 bulb weight was characteristic for samples No. 16 and 27 – 1225.73 and 1638.0 g, respectively. Conclusions. The data obtained in the Right Bank Forest-Steppe of Ukraine will be used to develop a breeding research scheme under the conditions of introduction. As a result of the research, a working collection of raw material was created for the breeding of garlic by the classical method – clonal breeding.

Downloads

Download data is not yet available.

References

Benke, A. P., Khar, A., Mahajan, V., Gupta, A., & Singh, M. (2020). Study on dispersion of genetic variation among Indian garlic ecotypes using agro morphological traits. Indian Journal of Genetics and Plant Breeding, 80(1), 94–102. doi: 10.31742/IJGPB.80.1.12

Khandagale, K., Krishna, R., Roylawar, P., Ade, A. B., Benke, A., Shinde, B., … Rai, A. (2020). Omics approaches in Allium research: Progress and wa ahead. PeerJ, 8, Article e9824. doi: 10.7717/peerj.9824

Choi, S.-H., Shin, W.-J., Bong, Y.-S., & Lee, K.-S. (2021). Determination of the geographic origin of garlic using the bioelement content and isotope signatures. Food Control, 130(12), Article 108339. doi: 10.1016/j.foodcont.2021.108339

Manjunathagowda, D. C., Gopal, J., Archana, R., & Asiya, K. R. (2017). Virus-Free Seed Production of Garlic (Allium sativum L.): Status and Prospects. International Journal of Current Microbiology and Applied Sciences, 6(6), 2446–2456. doi: 10.20546/ijcmas.2017.606.290

Tesfaye, A. (2021). Genetic Variability, Heritability, and Genetic Advance Estimates in Garlic (Allium sativum) from the Gamo Highlands of Southern Ethiopia. International Journal of Agronomy, 2021, Article 3171642. doi: 10.1155/2021/3171642

Etoh, T., & Simon, P. W. (2002). Diversity, fertility, and seed production of garlic. In H. D. Rabinowvitch, & L. Currah (Eds.), Allium crop science: Recent advances (pp. 101–117). Wallingford, UK : CABI Publishing.

Benke, A. P., Nair, A., Krishna, R., Anandhan, S., Mahajan, V., & Singh, M., (2020). Molecular screening of Indian garlic genotypes (Allium sativum L.) for bolting using DNA based Bltm markers. Vegetable Science, 47(1), 116–120.

Hirata, S., Abdelrahman, M., Yamauchi, N., & Shigyo, M. (2016). Diversity evaluation based on morphological, physiological and isozyme variation in genetic resources of garlic (Allium sativum L.) collected worldwide. Genes & Genetic Systems, 91(3), 161–173. doi: 10.1266/ggs.15-00004

Paredes, C. M., Becerra, V. V., & Gonza˜lez, A. M. I. (2008). Low Genetic Diversity Among Garlic (Allium sativum L.) Accessions Detected Using Random Amplified Polymorphic DNA (RAPD). Chilean Journal of Agricultural Research, 68(1), 3–12. doi: 10.4067/S0718-58392008000100001

Abdelrahman, M., Hirata, S., Mukae, T., Yamada, T., Sawada, Y., El-Syaed, M., … Shigyo, M. (2021). Comprehensive Metabolite Profiling in Genetic Resources of Garlic (Allium sativum L.) Collected from Different Geographical Regions. Molecules, 26(5), Article 1415. doi: 10.3390/molecules26051415

García-Lampasona, S., Asprelli, P., & Burba, J. L. (2012). Genetic analysis of a garliс (Allium sativum L.) germplasm collection from Argentina. Scientia Horticulturae, 138, 183–189. doi: 10.1016/j.scienta.2012.01.014

Jabbes, N., Dridi, B., Hannechi, C., Geoffriau, E., & Le Clerc, V. (2011). Inter Simplе Sequence Repeat Fingerprints for Assess Genetic Diversity of Tunisian Garlic Populations. Journal of Agricultural Science, 3(4), 77–85. doi: 10.5539/jas.v3n4p77

Bayraktar, H., & Dolar, F. S. (2010). Molecular Identification and Genetic Diversity o Fusarium species Associated with Onion Fields in Turkey. Journal of Phytopathology, 159(1), 28–34. doi: 10.1111/j.1439-0434.2010.01715.x

Zheng, S. J., Kamenetsky, R., Feˆreˆol, L., Barandiaran, X., Rabinowitch, H. D., Chovelon, V., & Kik, C. (2007). Garlic breeding system innovations medicina and aromatic. Medicinal and Aromatic Plant Science and Biotechnology, 1(1), 6–15.

Bondarenko, H. L., & Yakovenko, K. I. (Eds.) (2001). Metodyka doslidnoyi spravy v ovochivnytstvi i bashtannytstvi [Methodology of experimental research in vegetable growing and melons]. Kharkiv: Osnova. [In Ukrainian]

Tkachyk, S. O. (Ed.). (2016). Metodyka provedennia ekspertyzy sortiv roslyn hrupy ovochevykh, kartopli ta hrybiv na vidminnist, odnoridnist i stabilnist [Methodology for examination of plant varieties of the vegetable, potato and mushroom group for distinction, homogeneity and stability]. Vinnytsia: FOP Korzun D. Yu. [In Ukrainian]

Novak, A. V., & Novak, V. H. (2021). Agricultural meteorology terms 2019–2020 agricultural year from data of weather-station Uman. Bulletin of Uman National University of Horticulture, 1, 27–29. doi: 10.31395/2310-0478-2021-1-27-29

Novak, A. V., & Novak, V. H. (2022). Agricultural meteorology terms 2020–2021 agricultural year from data of weather-station Uman. Bulletin of Uman National University of Horticulture, 1, 23–26. doi: 10.31395/2310-0478-2022-1-23-26

Finlay, K. W., & Wilkinson, G. N. (1963). The analysis of adaptation in a plant breeding program. Australian Journal of Agricultural Research, 14(6), 742–754. doi: 10.1071/AR9630742

Eberhart, S. A., & Russell, W. A. (1966). Stability parameters for comparing varieties. Crop Science, 6(1), 36–40. doi: 10.2135/cropsci1966.0011183X000600010011x

Khangildin, V. V. (1978). On the principles of modeling varieties of intensive type. In Genetika kolichestvennykh priznakov sel’skokhozyaystvennykh rasteniy [Genetics of quantitative traits of agricultural plants] (pp. 111–116). Moscow: Nauka. [In russian]

Khangildin, V. V. (1984). Problems of selection for homeostasis and questions of the theory of the selection process in plants. In Selektsiya, semenovodstvo i sortovaya agrotekhnika v Bashkirii [Breeding, seed production and varietal agricultural technology in Bashkiria] (pp. 102–123). Ufa: N.p. [In russian]

Dragavtsev, V. A., Tsilke, V. A., & Reiter, B. G. (1984). Genetika priznakov produktivnosti yarovoy pshenitsy v Zapadnoy Sibiri [Genetics of traits of spring wheat productivity in Western Siberia]. Novosibirsk: Nauka. [In russian]

Gryaznov, A. A. (1996). Karabal’skiy yachmen [Karabalsky barley]. Kustanai: Pechatnyy dvor. [In russian]

Zhivotkov, L. A., Morozova, Z. A., & Sekatueva, L. I. (1994). Methodology for identifying the potential productivity and adaptability of varieties and breeding forms of winter wheat in terms of yield. Breeding and Seed Production, 2, 3–6. [In russian]

Rossielle, A. A., & Hemblin J. (1981). Theoretical aspects of selection for yield in stress and non- stress environvents. Crop Science, 21(6), 943–946. doi: 10.2135/cropsci1981.0011183X002100060033x

Goncharenko, A. A. (2005). On the adaptability and environmental sustainability of grain crop varieties. Bulletin of the Russian Academy of Agricultural Sciences, 6, 49–53. [In russian]

Chacon, M., Pickersgill, P., & Debouck, D. (2005). Domestication patterns in common bean (Phaseolus vulgaris L.) and the origin of the Mesoamerican and Andean cultivated races. Theorical and Applied Genetics, 110(3), 432–444. doi: 10.1007/s00122-004-1842-2

Shing, M., Ceccarelli, S., & Hambling J. (1993). Estimation of heretability from varietal trials data. Theorical and Applied Genetics, 86(4), 437–441. doi: 10.1007/BF00838558

Burton, G. W., & De Vane R. W. (1953). Estimating heritability in tall Fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal, 45(10), 478–481. doi: 10.2134/agronj1953.00021962004500100005x

Vencovsky, R. (1978). Herança quantitativa. In E. Patemiani (Ed.), Melhoramento e Producão do Milho no Brasil (pp. 122–201). Piracicaba: ESALQ.

Stansfield, W. D. (1971). Gene˜tica. Teoría y 440 problemas resueltos (2nd ed.). Me˜xico: McGraw-Hill.

Vencovsky, R., & Barriga, P. (1992). Gene˜tica biome˜trica no fitomelhoramento. Ribeirão Preto: Sociedade Brasileira de Gene˜tica.

Yatsenko, V. V. (2019). Economic and biological evaluation of varietal specimen of winter garlic. Tavria Scientific Bulletin, 106, 163–172. [In Ukrainian]