Variability of quantitative indicators of walnut fruits
https://doi.org/10.47370/2072-0920-2025-21-1-179-190
Abstract
Introduction. Obtaining homogeneous products is associated with the use of species that have low variability of economically significant characteristics. For an objective assessment, it is advisable to establish it using several methods. Walnut is a valuable food plant. Significant selection quantitative characteristics of its fruits are the weight of the fruit and kernel, the kernel yield, the total score of selection value. The goal of the research is to study the variability of quantitative indicators of walnut fruits using various methods. The objectives are the following: determination of the mass of fruits and kernels, kernel yield, total score of selection value in individual specimens of the species and establishment of their variability indices. The research methods. The indices of 6 forms, 70 nuts in each, were studied. The variation coefficient, relative entropy, variability indices of Shannon, Sukhorukikh-Biganova, Margalef, Menkhinik, polydominance, Berger-Parker were determined by known methods with the replacement of the number of species by the number of classes of distribution of the trait. The results were processed in the Stadia 8.0 program for Windows. The Results. When divided into 10 classes, the sum of the variability ranks has made: kernel yield - 25, fruit weight - 24.5, kernel weight - 22, total selection value score - 8. Nonparametric analysis of ranks has not revealed a reliable difference between the variability of nut weight, kernel, and kernel yield (Friedman ρ = 0.2-0.5, significance - 0.4795-0.6547). The variability of the total selection value score is significantly different from the others (Friedman ρ = 8, significance 0.00468). Consequently, significant efforts will be required for walnut breeding for uniformity according to the first three indicators, and the least efforts according to the last one. Low statistical correlation has been observed between the Berger-Parker and Margalef, Menkhinik indices (r = 0.4336), the variation coefficient and other indices (r = 0.3115-0.4339). Strong statistical correlation has been found between other indices (r = 0.7052-1).
About the Authors
Y. I. Sukhorukikh
Maykop State Technological University
Russian Federation
Russian Federation
Yuri I. Sukhorukikh, Dr Sci. (Agriculture), Professor, Leading Researcher
385000 the Russian Federation, Maikop, 191 Pervomayskaya St.
S. G. Biganova
Maykop State Technological University
Russian Federation
Russian Federation
Svetlana G. Biganova, PhD (Agriculture), Associate Professor, Professor, the Department of Information Security and Applied Informatics
385000, the Russian Federation, Maikop, 191 Pervomayskaya St.
E. K. Pchikhachev
Adygh branch of the Subtropical Scientific Center of the Russian Academy of Sciences
Russian Federation
Russian Federation
Eduard K. Pchikhachev, PhD (Agriculture), Leading Researcher, Director
385778, the Russian Federation, the Republic of Adygea, thje Maikopsky district, Tsvetochny settlement, 2 A Shkolnaya str.
References
1. Vavilov N.I. Theoretical Foundations of Plant Breeding. Vol. 1: General Plant Breeding Moscow; Leningrad: Selkhozgiz, 1935. 1043 p. [In Russ.]
2. Tsarev A.P., Pogiba S.P., Laur N.V. Breeding Forest and Ornamental Woody Plants. Moscow: Moscow State University of Forestry, 2014. 552 p. [In Russ.]
3. Sukhorukikh Yu.I., Lugovskoy A.P., Biganova S.G. Program and Methodology for Breeding Walnut. Maikop: Kachestvo, 2007. 57 p. EDN QKYXFL. [In Russ.]
4. Program of the North Caucasus Center for Breeding Fruit, Berry, Flower and Ornamental Crops and Grapes for the Period up to 2030 / ed. by E.A. Egorov. Krasnodar: GNU SKZNIISiV, 2013. 202 p. [In Russ.]
5. Diversity of hazelnuts (Corylus avellanaL.) and forecast of occurrence of its forms in the North-West Caucasus / S.G. Biganova [et al.] // News of higher educational institutions. Forestry journal. 2020. No. 3 (375). P. 55-71. DOI 10.37482/0536-1036-2020-3-55-71. EDN OBKQJW. [In Russ.]
6. Methodological and analytical support for research in horticulture / L.M. Lopatina [et al.]. Krasnodar: The North Caucasian Zonal Research Institute of Horticulture and Viticulture of the Russian Agricultural Academy, 2010. 300 p. EDN PYBRHF. [In Russ.]
7. Lakin G.F. Biometry. Moscow: Vysshaya shkola, 1990. 352 p. [In Russ.]
8. Minashkin V.G., Sadovnikova N.A., Shuvalova E.B. Theory of Statistics. 4th ed., revised and enlarged / Shmoilova R.A. [et al.]. Moscow: Finance and Statistics, 2004. 656 p. [In Russ.]
9. Geography and Monitoring of Biodiversity / N.V. Lebedeva [et al.]. Moscow: NUMC, 2002. 432 p. EDN SHEIRF. [In Russ.]
10. Bakanov A.I. Quantitative Methods of Ecology and Hydrobiology: A Collection of Scientific Papers Dedicated to the Memory of A.I. Bakanov / Ed. G.S. Rosenberg. Tolyatti: NC RAS, 2005. 404 p. [In Russ.]
11. Sukhorukikh Yu.I., Biganova S.G. Diversity of individual indicators of walnut fruits during selection using different methods // New technologies. 2024. Vol. 20, No. 1. P. 157-165. DOI 10.47370/2072-0920-2024-20-1-157-165. EDN JHBJXC. [In Russ.]
12. Biganova S.G., Sukhorukikh Yu.I., Isusheva T.A. Variability of quality indicators of common hazel fruits depending on growing conditions // New technologies. 2013. No. 1. P. 59-65. EDN PZNJXT. [In Russ.]
13. Program and methods for variety study of fruit, berry and nut crops / under the general editorship of E.N. Sedova, T.P. Ogoltsova. Orel: VNIISPK, 1999. 606 p.
14. Sukhorukikh Yu.I. Selected Works. Book 2: Nut-bearing plants. Maikop: Kachestvo, 2008. 396 p. [In Russ.]
15. Historical experience and prospects for the use of walnut leaves in medicine (Juglans regia L.) / A.S. Klyuchnikova [et al.] // Medical and pharmaceutical journal. Pulse. 2022. Vol. 24, No. 7. P. 69-77. DOI 10.26787/nydha-2686-6838-2022-24-7-69-77. EDN YXMQHN. [In Russ.]
16. Walnut (Juglans regia L.) Kernel extracts protect against isoproterenol-induced myocardial infarction in rats / Sun Y. [et al.] // Rejuvenation Research. 2019. No. 22(4). P. 306-312. DOI: 10.1089/rej.2018.2140 [In Russ.]
17. Kornienko P.S. Comparative analysis of the state and distribution of walnut in the world, as well as the problems of its cultivation in Russia // News of agricultural science of Tavrida. 2022. No. 29(192). P. 46-58. EDN EKVWVY.
18. Persian walnut composition and its importance in human health / Ebrahimi S. [et al.] // International Journal of Enteric Pathogens. 2017. No. 6(1). P. 3-9. DOI: 10.15171/ijep.2018.02
19. Bernard A., Lheureux F., Dirlewanger E. Walnut: past and future of genetic improvement // Tree Genetics and Genomes. 2018. No. 14(1). P. 1-28. DOI: 10.1007/s11295-017-1214-0
20. Kulaichev A.P. Methods and tools for complex data analysis. 4th ed., revised. and add. Moscow: FORUM: INFRA-M, 2006. 512 p.
Review
For citations:
Sukhorukikh Y.I., Biganova S.G., Pchikhachev E.K. Variability of quantitative indicators of walnut fruits. New Technologies. 2025;21(1):179-190. (In Russ.) https://doi.org/10.47370/2072-0920-2025-21-1-179-190
Views:
25
Email this article 
