КОМПЛЕКСНАЯ ОЦЕНКА ГЕНЕТИЧЕСКИХ РЕСУРСОВ ГОРОХА НА ОСНОВЕ КЛАСТЕРНОГО АНАЛИЗА

Ирина Ошергина; Евгений Тен

doi:10.37884/3-2023/19

Abstract

Leguminous crops are rich in protein, as a result of which they are an important component of crop biodiversity and food security. Providing the country's population with food is the main task of agricultural production. The purpose of this study was to study the genetic diversity of pea varieties and determine the degree of genetic discrepancy between the collection samples. 37 genotypes of the baleen pea morphotype, of various ecological and geographical origin, have been studied. The research was carried out in the fields of the breeding nursery of the Scientific and Production Center of Grain Farming named after A.I. Baraev. Cluster analysis is a procedure for grouping research objects by a specific data set. Observations were carried out on 12 quantitative signs, namely: the growing season from germination to flowering, day.; from germination to maturation, day.; yield, g/m2; number of internodes, pcs.; number of productive nodes, pcs.; plant height, cm.; height of attachment of the lower bean, cm.; number of beans per plant, pcs.; number of seeds in a bean, pcs.; number of seeds from a plant, pcs.; the mass of seeds from a plant, g.; the mass of 1000 seeds, g., using the analysis of the main components and cluster analysis to determine the relationship and genetic discrepancy between individuals. As a result of cluster analysis, 37 samples of pea germplasm were grouped into two main clusters and five subgroups, while the minimum number of samples was found in the second cluster, in group 3B (1 pc.), and the maximum number was found in group 1B (13 pcs.). The results obtained showed that among the two clusters, a separate genotype in group 2C has the highest average value for almost all the analyzed traits, except for the number of seeds in the bean.

genotype peas cluster analysis selection

01 Introduction

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02 References

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6. Joshi B. K., Mudwari A., Bhatta M. R. and Ferrara G. O. (2004). Genetic diversity in Nepalese wheatcultivars based on agromorphological traits and coefficients of parentage. Nepal Agric. Res. J., 5: 7-17.
7. Vus N. A., Kobyzeva L. N., & Bezuglaya O. N. (2020). Determination of the breeding value of collection chickpea (Cicer arietinum L.) accessions by cluster analysis. Vavilovskii zhurnal genetiki i selektsii, 24(3): 244–251. https://doi.org/10.18699/VJ20.617
8. Arrones A., Vilanova S., Plazas M., Mangino G., Pascual L., Díez M.J., Prohens J., Gramazio P. The Dawn of the Age of Multi-Parent MAGIC Populations in Plant Breeding: Novel Powerful Next-Generation Resources for Genetic Analysis and Selection of Recombinant Elite Material. Biology. 2020; 9(8):229. https://doi.org/10.3390/biology9080229
9. M.R. Islam, M.A.B. Faruquei, M.A.R. Bhuiyan, P.S. Biswas and M.A. Salam, 2004. Genetic Diversity in Irrigated Rice. Pakistan Journal of Biological Sciences, 7: 226-229. https://doi.org/10.3923/pjbs.2004.226.229
10. Wille L, Kurmann M, Messmer MM, Studer B (2021) Untangling the pea root rot complex reveals microbial markers for plant health. Front Plant Sci 12:1–12. https://doi.org/10.3389/fpls.2021.737820
11. Kaur V, Dhar S (2019) Genetic diversity assessment in garden pea (Pisum sativum L.) germplasm through principal component analysis. Int J Chem Stud 7:482–486
12. Vilchynskaya L.A., Gorodyska O.P., Dyianchuk M.V., Kamіnna O.O. Cluster analysis in buckwheat breeding. Visnyk Ukrainskoho Tovarystva Henetykiv i Selektsioneriv. 2017;15(2):145-149.
13. Motavassel H. Grouping phenological and morphological characteristics of chickpea genotypes (Cicer arietinum L.) Ardabil region using cluster analysis and detection function. IJFAS, 2013; 2(23):1091-1094.
14. Казыдуб Н. Г., Маракаева Т. В., Коробейникова М. М., Епанчинцев М. В. Отбор перспективных образцов для селекции фасоли с использованием кластерного анализа в условиях Южной лесостепи Западной Сибири // Вестник Омского государственного аграрного университета. 2014. № 4(16). С 8–14.
15. Zhang Z., Yao Z. Y., Ma Q. Q., Liu J. M., Liu Y. X., Liang W. H., et al. (2022). A study on the phenotypic diversity of Sinopodophyllum hexandrum (Royle) ying. Pak. J. Bot. 54 (6), 2291–2302. DOI: http://dx.doi.org/10.30848/PJB2022-6(28)

Citation Links

[1]2023. COMPREHENSIVE ASSESSMENT OF PEA GENETIC RESOURCES BASED ON CLUSTER ANALYSIS. Izdenister natigeler. 3 (99) (Sep. 2023), 181–190. DOI:https://doi.org/10.37884/3-2023/19.

(1)COMPREHENSIVE ASSESSMENT OF PEA GENETIC RESOURCES BASED ON CLUSTER ANALYSIS. Izdenister natigeler 2023, No. 3 (99), 181-190. https://doi.org/10.37884/3-2023/19.

COMPREHENSIVE ASSESSMENT OF PEA GENETIC RESOURCES BASED ON CLUSTER ANALYSIS. (2023). Izdenister Natigeler, 3 (99), 181-190. https://doi.org/10.37884/3-2023/19

COMPREHENSIVE ASSESSMENT OF PEA GENETIC RESOURCES BASED ON CLUSTER ANALYSIS. Izdenister natigeler, [S. l.], n. 3 (99), p. 181–190, 2023. DOI: 10.37884/3-2023/19. Disponível em: https://agrosoil.kaznaru.edu.kz/index.php/research/article/view/352. Acesso em: 15 sep. 2026.

“COMPREHENSIVE ASSESSMENT OF PEA GENETIC RESOURCES BASED ON CLUSTER ANALYSIS”. 2023. Izdenister Natigeler, no. 3 (99) (September): 181-90. https://doi.org/10.37884/3-2023/19.

“COMPREHENSIVE ASSESSMENT OF PEA GENETIC RESOURCES BASED ON CLUSTER ANALYSIS” (2023) Izdenister natigeler, (3 (99), pp. 181–190. doi:10.37884/3-2023/19.

[1]“COMPREHENSIVE ASSESSMENT OF PEA GENETIC RESOURCES BASED ON CLUSTER ANALYSIS”, Izdenister natigeler, no. 3 (99), pp. 181–190, Sep. 2023, doi: 10.37884/3-2023/19.

“COMPREHENSIVE ASSESSMENT OF PEA GENETIC RESOURCES BASED ON CLUSTER ANALYSIS”. Izdenister Natigeler, no. 3 (99), Sept. 2023, pp. 181-90, https://doi.org/10.37884/3-2023/19.

“COMPREHENSIVE ASSESSMENT OF PEA GENETIC RESOURCES BASED ON CLUSTER ANALYSIS”. Izdenister natigeler, no. 3 (99) (September 29, 2023): 181–190. Accessed September 15, 2026. https://agrosoil.kaznaru.edu.kz/index.php/research/article/view/352.

1.COMPREHENSIVE ASSESSMENT OF PEA GENETIC RESOURCES BASED ON CLUSTER ANALYSIS. Izdenister natigeler [Internet]. 2023 Sep. 29 [cited 2026 Sep. 15];(3 (99):181-90. Available from: https://agrosoil.kaznaru.edu.kz/index.php/research/article/view/352

1.COMPREHENSIVE ASSESSMENT OF PEA GENETIC RESOURCES BASED ON CLUSTER ANALYSIS. Izdenister natigeler. 2023;(3 (99):181-190. doi:10.37884/3-2023/19

[1] 1. Ray D. K., West P. C., Clark M., Gerber J. S., Prishchepov A. V., & Chatterjee S. (2019). Climate change has likely already affected global food production. PloS one, 14(5), e0217148. https://doi.org/10.1371/journal.pone.0217148

[2] 2. Некрасов Е.И., Марченко Д.М., Иванисов М.М. Экологическая пластичность сортов озимой мягкой пшеницы // Зерновое хозяйство России. – 2022. -Т.14, №2. – С. 54-58. https://doi.org/10.31367/2079-8725-2022-80-2-54-58

[3] 3. Савченко И.В. Роль генетических ресурсов в создании сортов культурных растений // Селекция растений: прошлое, настоящее и будущее: сборник материалов I Всероссийской науч.-практ. конференции с междунар. участием, посвященной 140-летию НИУ «БелГУ» и 100-летию со дня рождения З.И. Щелоковой (г. Белгород, 24-26 ноября 2016 г.) / под общ. ред. Е.В. Думачевой. – Белгород: ИД «Белгород» НИУ БелГУ, 2017. – С. 161 – 165.

[4] 4. Yu BY, Xiang DQ, Mahfuz H et al (2021) Understanding starch metabolism in pea seeds towards tailoring functionality for value-added utilization. Int J Mol Sci 22:8972. https://doi.org/10.3390/ijms22168972

[5] 5. Gepts P. (2006). Plant genetic resources conservation and utilization: The accomplishments and future of a societal insurance policy. Crop Sci., 46: 2278–2292. https://doi.org/10.2135/cropsci2006.03 .0169gas.

[6] 6. Joshi B. K., Mudwari A., Bhatta M. R. and Ferrara G. O. (2004). Genetic diversity in Nepalese wheatcultivars based on agromorphological traits and coefficients of parentage. Nepal Agric. Res. J., 5: 7-17.

[7] 7. Vus N. A., Kobyzeva L. N., & Bezuglaya O. N. (2020). Determination of the breeding value of collection chickpea (Cicer arietinum L.) accessions by cluster analysis. Vavilovskii zhurnal genetiki i selektsii, 24(3): 244–251. https://doi.org/10.18699/VJ20.617

[8] 8. Arrones A., Vilanova S., Plazas M., Mangino G., Pascual L., Díez M.J., Prohens J., Gramazio P. The Dawn of the Age of Multi-Parent MAGIC Populations in Plant Breeding: Novel Powerful Next-Generation Resources for Genetic Analysis and Selection of Recombinant Elite Material. Biology. 2020; 9(8):229. https://doi.org/10.3390/biology9080229

[9] 9. M.R. Islam, M.A.B. Faruquei, M.A.R. Bhuiyan, P.S. Biswas and M.A. Salam, 2004. Genetic Diversity in Irrigated Rice. Pakistan Journal of Biological Sciences, 7: 226-229. https://doi.org/10.3923/pjbs.2004.226.229

[10] 10. Wille L, Kurmann M, Messmer MM, Studer B (2021) Untangling the pea root rot complex reveals microbial markers for plant health. Front Plant Sci 12:1–12. https://doi.org/10.3389/fpls.2021.737820

[11] 11. Kaur V, Dhar S (2019) Genetic diversity assessment in garden pea (Pisum sativum L.) germplasm through principal component analysis. Int J Chem Stud 7:482–486

[12] 12. Vilchynskaya L.A., Gorodyska O.P., Dyianchuk M.V., Kamіnna O.O. Cluster analysis in buckwheat breeding. Visnyk Ukrainskoho Tovarystva Henetykiv i Selektsioneriv. 2017;15(2):145-149.

[13] 13. Motavassel H. Grouping phenological and morphological characteristics of chickpea genotypes (Cicer arietinum L.) Ardabil region using cluster analysis and detection function. IJFAS, 2013; 2(23):1091-1094.

[14] 14. Казыдуб Н. Г., Маракаева Т. В., Коробейникова М. М., Епанчинцев М. В. Отбор перспективных образцов для селекции фасоли с использованием кластерного анализа в условиях Южной лесостепи Западной Сибири // Вестник Омского государственного аграрного университета. 2014. № 4(16). С 8–14.

[15] 15. Zhang Z., Yao Z. Y., Ma Q. Q., Liu J. M., Liu Y. X., Liang W. H., et al. (2022). A study on the phenotypic diversity of Sinopodophyllum hexandrum (Royle) ying. Pak. J. Bot. 54 (6), 2291–2302. DOI: http://dx.doi.org/10.30848/PJB2022-6(28)