Variation in Cone and Seed Productions of Taurus Cedar (Cedrus Libani A. Rich.) Populations
https://doi.org/10.24057/2071-9388-2025-3561
Abstract
Reproductive characteristics are important tools for sustainable forestry and to transmit present gene diversity to future generations by forestry practices. Knowledge and estimation of fertility variation and its linkage parameters, such as population size and gene diversity in seed crops calculated by reproductive traits, are used widely because of their many advantages. Forestry practices use estimates of these parameters for various purposes, including natural regeneration, establishment, and management of seed sources.. In this study, cone and seed production and their effect on fertility variation were examined in two natural populations (P1 & P2) of Taurus cedar (Cedrus libani A. Rich.) sampled from the southern part of Türkiye. Numbers of mature cones, which were two years old and filled with seeds, were counted from fifty trees selected phenotypically from each population in 2023. The averages of cone and seed number were 90 and 33, and 5321 and 3115 per tree in the populations P1 and P2, respectively. Among individuals within a population, and between populations, there were large differences in cone and seed production. The percentages of filled seeds were 94% in P1 and 83% in P2. There were significant differences (p<0.05) between populations in terms of the production and percentage of filled seeds, according to results of analysis of variance. Estimated fertility variations (Ψ<2) were in good accordance with the target (Ψ<3). The effective number of parents ranged from 30.1 (60% of number of individuals) to 41.4 (83%). Besides, data sets can be used to fill the FLR-Library.
Supporting agencies: The synthesis of samples and genetic research was carried out by N.B. The development, conceptualization, and validation of the FLR-model were carried out by T.P.N. and A.I.N. within the framework of the grant from the Russian Science Foundation (RSF), grant number 23-26-00102, https://rscf.ru/project/23-26-00102/.
About the Authors
Nebi Bilir
Isparta University of Applied Sciences, Faculty of Forestry
Turkey
Turkey
Isparta, 32260
Tatyana P. Novikova
Voronezh State University of Forestry and Technologies named after G.F. Morozov, Faculty of Computer Science and Technology
Russian Federation
Russian Federation
8, Timiryazeva str., Voronezh, 394087
Arthur I. Novikov
Agrophysical Research Institute
Russian Federation
Russian Federation
14, Grazhdansky av., Saint-Peterburg, 195220
References
1. Bernardes R.C., De Medeiros A., da Silva L., Cantoni L., Martins G.F., Mastrangelo T., Novikov A.I. and Mastrangelo C.B. (2022). Deeplearning approach for fusarium head blight detection in Wheat seeds using low-cost imaging technology. Agriculture, 12, 1801. https://doi.org/10.3390/agriculture12111801.
2. Bila A.D. (2000). Fertility variation and its effects on gene diversity in forest tree populations [Ph.D. Thesis] Umeå, Sweden, Swedish University of Agricultural Science, Acta Universitatis Agriculturae Sueciae, Silvestria.
3. Bila A.D. and Lindgren D. (1998). Fertility variation in Milletia stuhlmannii, Brachystegia spiciformis, Brachystegya bohemii and Leucaena leucocephala and its effects on relatedness in seeds. For. Genet. 5, 119–129.
4. Bilir N. (1997). Nursery stage of provanence on Taurus cedar (Cedrus libani A. Rich) in Eastern Black Sea region [MSc. Thesis] Trabzon, Türkiye, Black Sea Technical University.
5. Bilir N., Kang K.-S. and Lindgren D. (2005). Fertility variation in six populations of Brutian pine (Pinus brutia Ten.) over altitudinal ranges. Euphytica, 141, 163-168. https://doi.org/10.1007/s10681-005-6803-6.
6. Bilir N., Prescher F., Lindgren D. and Kroon J. (2008) Variation in cone and seed characters in clonal seed orchards of Pinus sylvestris. New Forests, 36, 187-199. https://doi.org/10.1007/s11056-008-9092-9.
7. Bilir N. (2011). Fertility variation in wild rose (Rosa canina) over habitat classes. Int. J. Agric. Biol., 13, 110–114.
8. Bilir N. and Kang K.-S. (2014). Estimation of fertility variation by strobili and cone productions in Taurus cedar (Cedrus libani A. Rich.) populations. In: Proceedings of the Proceedings of the IUFRO Forest Tree Breeding Conference; Prague, Czech Republic, 25-29 August, 2014.
9. Bilir N. and Özel H.B. (2017). Fertility variation in a natural stand of Taurus cedar (Cedrus libani A. Rich.). In: Proceedings of the International Forestry and Environment Symposium (IFES); Trabzon, Türkiye, 7-10 November, 2017.
10. Bilir N. and Kang K.-S. (2021). Fertility variation, seed collection and gene diversity in natural stands of Taurus cedar (Cedrus libani). Eur. J. For. Res., 140, 199–208. https://doi.org/10.1007/s10342-020-01324-1.
11. Bilir N. and Yazıcı N. (2024). Effects of climatic factors on strobilus production of Taurus cedar (Cedrus libani A. Rich.) populations. Theoretical and Applied Climatology, 155, 2151–2159. https://doi.org/10.1007/s00704-023-04754-0
12. Boydak M. (2003). Regeneration of Lebanon cedar (Cedrus libani A. Rich.) on karstic lands in Türkiye. For. Ecol. Manage, 178, 231-243. https://doi.org/10.1016/S0378-1127(02)00539-X.
13. Çatal, Y., Bilir N. and Özel H.B. (2018). Effect of growth characteristics on cone and seed production in Taurus cedar (Cedrus libani A. Rich.). Fresenius Environmental Bulletin, 27, 3832-3836.
14. Çerçioğlu M. and Bilir N. (2018). Altitudinal fertility variation in natural populations of Anatolian black pine [Pinus nigra Arnold. Subsp. pallasiana (Lamb.) Holmboe]. Human Journals, 4(8), 136-142.
15. Eler U. (1990). Seed yield in Calabrian cluster pine (Pinus brutia Ten.) by age. In Forest Research Institute, Technical Bulletin; Forest Research Institute: Antalya. Türkiye, 53–78. https://doi.org/10.3390/f14061130.
16. Evcimen B.S (1963). Commercial importance and management of Turkish Taurus cedar. Ankara, Türkiye, General Directorate of Forestry Press.
17. Griffin A.R. (1982). Clonal variation in radiata pine seed orchards. I. Some flowering, cone, and seed production traits. Australian Forest Research, 12, 4, 295-302.
18. Kamalakannan R., Varghese M., Park J.-M., Kwon S-H., Song J.-H. and Kang K.-S. (2015). Fertility variation and its impact on effective population size in seed stands of Tamarindus indica and Azadirachta indica. Silvae Genet., 64, 91-99. https://doi.org/10.1515/sg-2015-0008.
19. Kang K.-S. and Lindgren D. (1998). Fertility variation and its effect on the relatedness of seeds in Pinus densiflora, Pinus thunbergii and Pinus koraiensis clonal seed orchards. Silvae Genet., 47, 196–201.
20. Kang K.-S. and Lindgren D. (1999). Fertility variation among clones of Korean pine (Pinus koraiensis S. et Z.) and its implications on seed orchard management. For Genet 6:191–200.
21. Kang K.-S. (2001). Genetic gain and gene diversity of seed orchard crops [PhD Thesis], Umeå, Sweden: Swedish University of Agricultural Science.
22. Kang K.-S., Bila A.D., Harju A.M. and Lindgren D. (2003). Estimation of fertility variation in forest tree populations. Forestry, 76, 329-344. https://doi.org/10.1093/forestry/76.3.329.
23. Kang K.-S. and Bilir N. (2021). Seed orchards (Establishment, Management and Genetics. Ankara, Türkiye, OGEM-VAK Press, 189.
24. Koski V. and Antola J. (1993). National tree breeding and seed production programme for Türkiye 1994-2003. [online] Available at: https://ortohum.ogm.gov.tr [accessed on May 12, 2024].
25. Novikov A.I., Sokolov S.V., Drapalyuk M.V., Zelikov V.A. and Ivetić V. (2019a). Performance of Scots pine seedlings from seeds graded by colour. Forests, 10, 1064. https://doi.org/10.3390/f10121064.
26. Novikov A., Ivetić V., Novikova T., Petrishchev E. (2019b). Scots pine seedlings growth dynamics data reveals properties for the future proof of seed coat color grading conjecture. Data, 4(3), 106. https://doi.org/10.3390/data4030106.
27. Novikov A.I., Zolnikov V.K. and Novikova T.P. (2021a) Grading of Scots pine seeds by the seed coat color: how to optimize the engineering parameters of the mobile optoelectronic device. Inventions, 6, 7. https://doi.org/10.3390/inventions6010007.
28. Novikov A.I., Lisitsyn V.I., Tigabu M., Tylek P. and Chuchupal S. (2021b) Detection of Scots pine single seed in optoelectronic system of mobile grader: mathematical modeling. Forests, 12, 240. https://doi.org/10.3390/f12020240.
29. Novikova T.P., Mastrangelo C.B., Tylek P., Evdokimova S.A. and Novikov A.I. (2022). How can the engineering parameters of the NIR grader affect the efficiency of seed grading? Agriculture, 12, 2125. https://doi.org/10.3390/agriculture12122125.
30. Novikova T.P. (2022a). Study of a set of technological operations for the preparation of coniferous seed material for reforestation. Forestry Engineering Journal, 11, 150-160. https://doi.org/10.34220/issn.2222-7962/2021.4/13.
31. Novikova T.P. (2022b). The choice of a set of operations for forest landscape restoration technology. Inventions, 7, 1. https://doi.org/10.3390/inventions7010001.
32. Novikova T.P., Tylek P., Mastrangelo C.B., Drapalyuk M.V., Kharin S.V. and Novikov A.I. (2023). The root collar diameter growth reveals a strong relationship with the height growth of juvenile scoots pine trees from seeds differentiated by spectrometric feature. Forests, 14, 1164. https://doi.org/10.3390/f14061164.
33. Odabaşı T. (1990). Research on cone and seed characteristics of Cedrus libani. [online] Available at: https://www.ogm.gov.tr [accessed on Jun 12, 2024].
34. Park J.M., Kwon S.H., Lee H.J., Na S.J., El-Kassaby Y.A. and Kang K.-S. (2017). Integrating fecundity variation and genetic relatedness in estimating the gene diversity of seed crops: Pinus koraiensis seed Orchard as an example. Can. J. For. Res., 47, 366-370. https://doi.org/10.1139/cjfr-2016-0223.
35. Roeder K., Devlin B., Lindsay B.G. (1989). Application of maximum likelihood methods to population genetic data for the estimation of individual fertilities. Biometrics, 45, 363-379. https://doi.org/10.2307/2531483.
36. Savolainen O., Karkkainen K., Harju A., Nikkanen T. and Rusanen M. (1993). Fertility variation in Pinus sylvestris: a test of sexual allocation theory. Am. J. Bot., 80, 1016-1020. https://doi.org/10.2307/2445748.
37. Shea K.L. (1987). Effects of population structure and cone production on out crossing rates in Engelmann spruce and Subalpine fir. Evolution, 41, 124-136. https://doi.org/10.2307/2445748.
38. SPSS (2011). IBM SPSS Statistics for Windows, Version 20.0., NY: IBM Corp.
39. Yazıcı N. and Bilir N. (2017). Aspectual fertility variation and its effect on gene diversity of seeds in natural stands of Taurus cedar (Cedrus libani A. Rich.). Int. J. Genomics, 2960624, 1-5. https://doi.org/10.1155/2017/2960624.
40. Yazıcı N. and Bilir N. (2023). Impact of crown closure on cone production and effective number of parents in natural stands of Taurus cedar (Cedrus libani A. Rich.). Forests, 14, 1130. https://doi.org/10.3390/f14061130.
41. Yazıcı N., Novikova T.P., Novikov A.I., Bilir N. (2023). Gene diversity in seed crop of Taurus cedar (Cedrus libani A. Rich.) over an altitudinal range. Geography, Environment, Sustainability, 16, 4, 63-71. https://doi.org/10.24057/2071-9388-2023-2922.
42. Xie C.Y. and Knowles P. (1992). Male fertility variation in an open-pollinated plantation of Norway spruce (Picea abies). Canadian Journal of Forest Research, 22, 1463-1468. https://doi.org/10.1139/x92-196.
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For citations:
Bilir N., Novikova T.P., Novikov A.I. Variation in Cone and Seed Productions of Taurus Cedar (Cedrus Libani A. Rich.) Populations. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2025;18(2):63-69. https://doi.org/10.24057/2071-9388-2025-3561
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