Analyses of variability, euclidean clustering and principal components for genetic diversity of eight Tossa Jute (Corchorus olitorius L.) genotypes
DOI:
https://doi.org/10.14719/pst.2020.7.4.854Keywords:
Genetic diversity, cluster analysis, principal component analysis, genotypic and phenotypic coefficient of variation, heritability, genetic advanceAbstract
An investigation was done to assess the genetic variability, character associations, and genetic diversity of eight jute genotypes for seven morphological traits in a randomised complete block design at Bangladesh Jute Research Institute during 15 March, 2018 to 31 December, 2019. Analyses results revealed significant differences (P<0.01) among all genotypes for studied traits indicating the presence of variability. All the lines performed better than one control (JRO-524), and the line (O-0412-9-4) provided good results for desired traits than all controls. Jute fibre yield showed the highest broad sense heritability (98.54%). The studied jute morphological traits i.e. Plant population, the plant height, green weight, dry fibre yield and dry stick yield gave high heritability along with high genotypic and phenotypic variances, genetic advances in percent of the mean, highly significant and positive correlations. It indicates the possibility of crop improvement through phenotypic selection and maximum genetic gain, simultaneously at the genotypic-phenotypic level. Clustering analysis grouped all genotypes into three distinct clusters. The cluster II showed the highest mean values for all traits followed by cluster I and III. The first two principal components with higher Eigen values (>1.0) accounted for 90.88% of the total variation in the principal component analysis. PCA and cluster analyses indicated that the advanced breeding line O-0412-9-4 made its individual cluster II with higher inter-cluster distance and higher fibre yield (3.12 t ha-1). The investigation was done to select the genotype(s) with good fibre yield and distinct features in respect of developing high yielding Tossa jute variety for cultivation in the farmers’ field. This genotype O-0412-9-4 was selected based on higher plant height, base diameter, fibre yield content. It will be developed as a high yielding variety considering its’ higher genetic variability, heritability, genetic advance, significant associations for desirable characters.
Downloads
References
Zhang L, Ibrahim AK, Niyitanga S, Zhang L, Qi J. Jute (Corchorus spp.) Breeding. Advances in Plant Breeding Strategies: Industrial and Food Crops, Springer, Cham. 2019;6:85-113. https://doi.org/10.1007/978-3-030-23265-8_4
Maity S, Chowdhury S, Datta AK. Jute Biology, Diversity, Cultivation, Pest Control, Fiber Production and Genetics. In: Lichtfouse E (editor). Organic Fertilisation, Soil Quality and Human Health. Sustainable Agriculture Reviews 2012;9. https://doi.org/10.1007/978-94-007-4113-3_9
Kar CS, Kundu A, Sarkar D, Sinha MK, Mahapatra BS. Genetic diversity in jute (Corchorus spp) and its utilization: a review. Indian Journal of Agricultural Sciences. 2009;79(8):575-86. http://epubs.icar.org.in/ejournal/index.php/IJAgS/article/view/2454
Patel GI, Datta RM. Interspecific hybridization between Corchorus olitorius L. and C. capsularis L. and the cytogenetical basis of incompatibility between them. Euphytica. 1960;9:89–110. https://doi.org/10.1007/ BF00023259
Vellend M, MA Gebe. Connections between species diversity and genetic diversity. Ecology Letters. 2005;8:767–81. https://doi.org/10.1111/j.1461-0248.2005.00775.x
Bhandari HR, Bhanu AN, Srivastava K, Singh MN, Shreya, Hemantaranjan A. Assessment of genetic diversity in crop plants: an overview. Adv Plants Agric Res. 2017;7(3):279-86. https://doi.org/10.15406/apar.2017.07.00255
Mazid MS, Rafii MY, Hanafi MM, Rahim HA, Shabanimofrad M, Latif MA. Agro-morphological characterization and assessment of variability, heritability, genetic advance and divergence in bacterial blight resistant rice genotypes. South African Journal of Botany. 2013;86:15–22. https://doi.org/10.1016/j.sajb.2013.01.004
Al-Jibouri HA, Miller PA, Robinson HA. Genotypic and environment variances and covariance in an upland cotton cross of inter specific origin. Agronomy Journal. 1958;50:633–36. https://doi.org/10.2134/agronj1958.00021962005000100020x
Swamy AA, Reddy GLK. Genetic divergence and heterosis studies of Mungbean (Vigna radiata (L.) Wilczek). Legume Research. 2004;21:115–18. https://arccjournals.com/journal/legume-research-an-international journal/ARCC3799
Naik SM, Madhusudan K, Motagi BN, Nadaf HL. Diversity in soybean (Glycine max L.) accessions based on morphological characterization and seed longevity characteristics. Progressive Research – An International Journal. 2016;11(3): 377-81. https://hdl.handle.net/20.500.11766/6796
Bhakuni V, Shukla PS, Singh K, Singh VK. Morphological characterization and assessment of genetic variability in soybean varieties. International Journal of Current Microbiology and Applied Sciences. 2017; 6(3): 361-69. https://doi.org/10.20546/ ijcmas.2017.603.281
Islam MR, Islam MM, Akter N, Ghosh RK, Rafique ZA, Hossain AKMS. Genetic variability and performance of Tossa Jute (Corchorus olitorius L.). Pakistan Journal of Biological Sciences. 2002;5:744-45. https://doi.org/10.3923/pjbs.2002.744.745
Shadakhari TV, Kalaimagal T, Senthil N, Boranayaka MB, Kambe GR, Rajesh GA. Genetic diversity studies in soybean [Glycine max (L.) Merrill] based on morphological characters. Asian Journal of BioScience. 2011;6(1):7-11. http://www.researchjournal.co.in/online/AJBS/AJBS%206(1)/6_A-7-11.pdf
Surek H, Beser N. Selection for grain yield and yield components in early generations for temperate rice. Philippine Journal of Crop Science. 2003;28(3):3–15. https://www.researchgate.net/publication/268267106
Larik AS, Rajput LS. Estimation of selection indices in Brassica juncea L. and Brassica napus L. Pakistan Journal of Botany. 2000;32(2):323–30. http://www.pakbs.org/pjbot/PDFs/32(2)/16.pdf
Kumar P, Shukla RS. Genetic analysis for yield and its attributed traits in bread wheat under various situations. Jawaharlal Nehru Krishi Vishwa Vidyalaya Research Journal. 2002;36:95–97.
Islam MS, Uddin MN, Haque MM, Islam MN. Path coefficient analysis for some fibre yield related traits in white jute (Corchorus capsularis L.). Pakistan Journal of Biological Sciences. 2001; 4:47-49. https://doi.org/10.3923/pjbs.2001.47.49
Maji AT, Shaibu AA. Application of principal component analysis for rice germplasm characterization and evaluation. J. Plant Breed. Crop Sci. 2012;4(6):87-93. https://doi.org/10.5897/JPBCS11.093
Adams MW. An estimation of homogeneity in crop plants with special reference to genetic vulnerability in the dry bean (Phaseolus vulgaris L.), Euphytica. 1977;26:665–79. https://doi.org/10.1007/BF00021692
Hotelling H. Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology. 1933;24(7):498–520. https://doi.org/ 10.1037/h0070888
Amy EL, Pritts MP. Application of principal component analysis to horticultural research. Hort Sci. 1991;26(4):334-38. https://doi.org/10.21273/HORTSCI.26.4.334
Clifford HT, Stephenson W. An Introduction to Numerical Classification. Academic Press, London. 1975;229. https://catalogue.nla.gov.au/Record/302559
Guei RG, Abamul FJ, Karim T, Naman S. Genetic variability in morphological and physiological traits within and among rice species and their interspecific progenies. Agronomieafricaine. 2004; 16(1): 15-32. https://www.ajol.info/index.php/aga/article/download/1636/534
SRDI-Soil Resource Development Institute, Ministry of Agriculture, 2017. Annual Report of SRDI (2017-2018), Dhaka, Bangladesh.
Gomez KA, Gomez AA. Statistical procedures for agricultural research 2nd ed. An International Rice Research Institute Book, A Wiley-inter-science Publication, JOHN WILEY & SONS, 1984. https://pdf.usaid.gov/pdf_docs/PNAAR208.pdf
Girma T, Tilahun Y, Demisue M. Design and Analysis of field experiments. In: Agriculture. Technical Manual No. 15. Ethiopian Agricultural Research Organization. Addis Abeba, Ethiopia, 2002. http://publication.eiar.gov.et:8080/xmlui/bitstream/handle/123456789/3144/28%20pdf1ab%20bbbyyy.pdf?sequence=1&isAllowed=y
BARJ-Basic and Applied Research on Jute Project, Bangladesh Jute Research Institute. Leaflet prepared on latest released variety of BJRI. Dhaka, Bangladesh, 2018.
Islam MM, Ali MS. Agronomic research advances in jute crops of Bangladesh. AASCIT Journal of Biology 2017;3(6):34-46. http://www.aascit.org/journal/archive?journalId=980&issueId=9800306
STATISTIX- Statistical analysis programme (29 August, 2017). https://statistix. informer.com/10.0.0.9/
Johnson HW, Robinson HF, Comstock RW. Estimates of genetic and environment variability in Soybean. Agronomy Journal. 1955;47:314–318. http://dx.doi.org/10.2134/agronj1955.00021962004700070009x
Cohen J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed. Hillsdale, NJ: Erlbaum, 1988. http://www.utstat.toronto.edu/~brunner/oldclass/378f16/ readings/Cohen Power.pdf
Burton GW. Quantitative inheritance in grasses. 6th Intl Grassland Cong Proc. 1952;1:227-38.
Lush JL. Heritability of quantitative characters in farm animals. Hereditas. 1949;35(S1):356-75. https://doi.org/10.1111/j.1601-5223.1949.tb03347.x
Hanson CH, Robinson HF, Comstock RE. Biometrical studies of yield in segregating populations of Korean Lespedza or Korean clover (Kummerowia stipulacea). Agron J. 1956;48:268-72. https://doi.org/10.2134/agronj1956.00021962004800060008x
Burton GW, Devane EH. Estimating heritability in tall fesscusce from replicated clone natural materials. Journal of Agronomy. 1953;45:171–81. https://doi.org/10.2134/agronj1953.00021962004500100005x
Comstock RE, Robinson HF. Genetic parameters, their estimation and significance. Proc. 6th Intercropping, Grassland Cong. 1952;1:284-91.
Karim D, Sarkar U, Siddique MNA, Miah MAK, Hasnat MZ. Variability and Genetic parameter analysis in aromatic rice. Int J Sustain Crop Prod. 2007;2(5):15-18.
Karim D, Siddique MNA, Sarkar U, Hasnat MZ, Sultana J. Phenotypic and genotypic correlation co-efficient of quantitative characters and character association of aromatic rice. Journal of Bioscience and Agriculture Research, 2014; 01(01):36-48. https://doi.org/10.18801/jbar.010114.05
Jolliffe IT. Principal Component Analysis. New York: Springer, 2002. https://www.springer.com/gp/book/9780387954424
Jolliffe IT, Cadima J. Principal component analysis: a review and recent developments. Phil Trans R Soc. 2016;A 374:20150202. http://dx.doi.org/10.1098/rsta.2015.0202
Spuhler JN. Advanced statistical methods in biometric research. By C. Radhakrishna Rao. John Wiley & Sons, Inc., New York, N. Y. 1952. 390 pp. American Journal of Physical Anthropology 1954;12(2):268-70. https://doi.org/10.1002/ajpa.1330120224
Singh RK, Choudhary BD. Biometrical methods in quantitative genetic analysis. ISBN 13: 9788176633079, Kalyani Publishers, New Delhi, India. 1979:211-15. https://www.sapnaonline.com/books/biometrical-methods-in-quantitative-genetic-analysis-4829916
Malek MA, Rafii MY, Afroz MSS, Nath UK, Mondal MMA. Morphological characterization and assessment of genetic variability, character association and divergence in soybean mutants. The Scientific World Journal, Hindawi Publishing Corporation. 2014;AID968796:12. http://dx.doi.org/10.1155/2014/968796
Jatothu JL, Kumar AA, Choudhary SB, Sharma HK, Maruthi RT, Kar CS, Mitra J. Genetic diversity analysis in Tossa jute (Corchorus olitorius L.) germplasm lines. Journal of Applied and Natural Science. 2018;10(1):1-3. https://doi.org/10.31018/jans.v10i1.1566
XLSTAT-Statistical Software for Excel: Statistical and data analysis solution (Version 2020.4). New York, USA, 2020. https://www.xlstat.com
Islam MS, Nasrin A, Begum S, Haque S. Correlated response and path analysis in Tossa jute (Corchorus olitorius L.). Bangladesh Journal of Botany. 2004;33(2):99-102. http://www.scopus.com/inward/record.url?eid=2-s2.033750342488&partnerID= MN8TOARS
Mohammed A, Geremew B, Amsalu A. Variation and associations of quality parameters in Ethiopian Durum wheat (Triticum turgidum L. var. durum) genotypes. International Journal of Plant Breeding and Genetics. 2012;6(1):17-31. http://dx.doi.org/10.3923/ijpbg.2012.17.31
Segherloo AE, Mohammadi SA, Sadeghzadeh B, Kamrani M. Study of Heritability and Genetic Advance of Agronomic Traits in Barley (Hordeum vulgare L.) and Graphic Analysis of Trait Relations by Biplot. Jordan Journal of Agricultural Sciences, 2016; 12(1): 299-310. https://journals.ju.edu.jo/JJAS/article/download/7992/5125
Kumar AA, Choudhary SB, Sharma HK, Maruthi RT, Jatothu JL, Mitra J, Karmakar PG. An International Quarterly Journal of Life Sciences: The BioScan. 2018;13(2),SL-39:703-06. https://thebioscan.com/journal.php?edition= TnVtYmVyIDI=&volume=Vm9sdW1l IDEz
Anand SC, Torrie JH. Heritability of yield and other traits and interrelationship among traits in the F3 and F4 generations of three soybean crosses. Crop Science. 1963;3:508–11. https://doi.org/10.2135/cropsci1963. 0011183X000300060015x
Weber CR, Moorthy BR. Heritable and non-heritable relationships and variability of oil content and agronomic characters in the F2 generation of soybean crosses. Agronomy Journal. 1952;44:202–09. https://doi.org/10.2134/agronj1952.00021962004400040010x
Roy SK, Das B, Kale VA, Haque S. Genetic divergence study for yield and quality traits in Tossa jute (Corchorus olitorius). Journal of Crop and Weed. 2011;7(1):130-32. http://www.cropandweed.com/archives/2011/vol7issue1/32 .pdf
Ghosh RK, Wongkaew A, Sreewongchai T, Nakasathien S, Phumichai C. Assessment of genetic diversity and population structure in jute (Corchorus spp.) Using Simple Sequence Repeat (SSR) and Amplified Fragment Length Polymorphism (AFLP) Markers. Kasetsart J (Nat. Sci.). 2014;48:83-94. https://pdfs.semanticscholar.org/d281/ 402621a46abd31270c16c3deee6c72fc7f10.pdf
Akter N, Islam MM, Yahiya ASM, Newaz MA. Genetic divergence for fibre and seed characters in Tossa jute (Corchorus olitorius L.). Journal of Experimental Bioscience, 2010;(1):7-12. http://www.bioscience-associates.com/2013/02/genetic-divergence-for-fibre-and-seed.html
Denton OA, Nwangburuka CC. Morphological diversity among Corchorus olitorius based on single linkage cluster analysis and principal component analysis. Jordan J Biol Sci 2012; 5:191–96. http://jjbs.hu.edu.jo/ files/v5n3/Paper_Number_7.pdf
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Mukul M M, Akter N, Mostofa M G, Rahman M S, Hossain M A, Roy D C, Jui S A, Karim M M, Ferdush J, Hoque M M, Mollah M A F
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright and Licence details of published articles
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Open Access Policy
Plant Science Today is an open access journal. There is no registration required to read any article. All published articles are distributed under the terms of the Creative Commons Attribution License (CC Attribution 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited (https://creativecommons.org/licenses/by/4.0/). Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
