Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2023 - IJCMAS--ICV 2023: 95.56 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020] For more details click here

Login as a Reviewer


See Guidelines to Authors
Current Issues
Download Publication Certificate

Original Research Articles                      Volume : 14, Issue:7, July, 2025

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2025.14(7): 201-213
DOI: https://doi.org/10.20546/ijcmas.2025.1407.025


Genetic Variability Studies for Seed Cotton Yield and Other Yield Attributes in the UASD Bt-78 Event Based F2 Population of Cotton (G. hirsutum L.)
Pushpa M. Aralikatti1*, Manjula S. Maralappanavar1, Basavaraj D. Biradar1, Siddharuda B. Patil2 and S. Md. Akbar3
1Department of Genetic and Plant Breeding,
2Department of Entomology,
3Department of Biochemistry, University of Agricultural Sciences, Dhrawad, India
*Corresponding author
Abstract:

UASD cry-1Ac Bt-cotton event-78 is a novel event developed under the background of G. hirsutum L., RAH-100. In the present study early segregating F2 population derived by selfing of F1 of the cross, UASD Bt-78 × DHS-29 was evaluated for estimation of genetic variability for seed cotton yield and other yield attributes, during the kharif-2021 at Agricultural Research Station, Dharwad. For most of the traits, a wide range was observed in the segregating population, likewise analysis of variance also showed the presence of significant difference for the considered traits within the F2 population and in between checks and F2 segregants. Negatively skewed distribution was observed for the traits like seed cotton yield, plant height, average boll weight, number of bolls/plants and GOT, suggesting that mild selection is sufficient for improvement. All the yield attributes showed a leptokurtic distribution, suggesting that fewer genes control them. In the segregating population, moderate to higher to levels of variability (GCV and PCV) in association with higher per cent of heritability and genetic advance as a per cent of mean was recorded for most important traits such as seed cotton yield/plant, lint yield/plant, number of bolls/plant, number of sympodia/plant, plant height, number of monopodia/plant and sympodial length/plant, emphasising that simple selection in subsequent generations for improving these traits, as these traits are controlled by additive gene actions.


Keywords: UASD cry-1Ac Bt-Cotton event-78, Analysis of variance, Leptokurtic, Variability, Heritability, Genetic advance as a percent of mean


References:

Aarthi, V., Amalabalu, P. and Premelatha, N. 2018. Genetic variability studies in germplasm of upland cotton (Gossypium hirsutum L.). Electronic Journal of Plant Breeding, 9(4): 1600-1605. https://doi.org/10.5958/0975-928X.2018.00200.4

Abbas, H. G., Mahmood, A., Ali, Q., Malook, S., Waseem, M. and Khan, N. H. 2014. Genetic variability for yield, its components and quality traits in upland cotton (Gossypium hirsutum L.). Nature and Science, 12(11). http://www.sciencepub.net/nature

Adeela, S., Mubashar, Z. M., Abdul, R., Abdul, M., Muhammad, H., Sunaina, S., Abdul, R., Huijuan, Muhammad, A., Maozhi, R., Amir, S. and Youlu, Y. 2021. Genetic variability studies for yield and fibre quality traits in genetically modified cotton. Journal of Cotton Research, 4:19. https://doi.org/10.1186/s42397-021-00094-4.

Ahsan, M. Z. and Mahmmod, H.T. 2019. Genetic variability and heritability in F2 population of Gossypium hirsutum for seed cotton yield and its components. International Journal of Cotton Research and Technology, 1(1): 29-31. https://doi.org/10.33865/IJCRT.001.01.0245

Anjani, A., Padma, V., Ramana, J. V. and Satish, Y. 2020. Evaluation of genetic parameters of agro-morpho-quality traits in American cotton (Gossypium hirsutum L.). Electronic Journal of Plant Breeding, 11(1): 279-282. https://doi.org/10.37992/2020.1101.048

Burton, G. W. 1952. Quantitative inheritance in grasses. Proceeding of sixth International Congress pp.277-283.

Burton, G.W. and Devane, E.M. 1953. Estimating heritability fall fescue (Festuca arundanaceae) from replicated coinal-material. Agronomy Journal, 45: 478-481 https://doi.org/10.2134/agronj1953.00021962004500100005x

Dhivya, R., Amalabalu, P., Pushpa, R. and Kavithamani, D. 2014. Variability, heritability and genetic advance in upland cotton (Gossypium hirsutum L.). African Journal of Plant Science, 8(1):1-5. https://doi.org/10.5897/AJPS2013.1099

Dhurua, S. and Gujar, G. T. 2011. Field-evolved resistance to Bt toxin Cry1Ac in the pink boll worm, Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae), from India. Pest Management Science, 67, 898–203. https://doi.org/10.1002/ps.2127.

Erande, C. S., Kalpande, H. V., Deosarkar, D. B., Chavan, S. K., Patil, V. S., Deshmukh, J. D., Chinchane, V. N., Anilkumar, Utpal, D. and Puttawar, M. R. 2014. Genetic variability, correlation, path analysis among different traits in desi cotton (Gossypium arobreum L.). African Journal of Agricultural Research, 9(29) : 2278-2286. http://dx.doi.org/10.5897/AJAR2013.7580

Federer, W. T. 1956. Augmented designs. Hawaiin Planters' Record, 55: 191-208.

Fisher, R A., Immer, F. R. and Tedin, O. 1932. The genetical interpretation of statistics of the third degree in the study of quantitative inheritance. Genetics, 17:107-124. https://doi.org/10.1093/genetics/17.2.107

Gangavati, L. 2022. Exploiting Recombinational variability for combining ability to improve performance of cotton hybrids based on UASD cry1Ac transgenic event no.78. Ph.D. Thesis, University of Agricultural Sciences, Dharwad, Karnataka, India. http://hdl.handle.net/10603/460590

Gnanasekaran, M., Thiyagu, K. and Gunasekaran, M. 2020, Studies on genetic variability correlation and path analysis in upland cotton. Electronic Journal of Plant Breeding,11 (3): 981-986. https://doi.org/10.37992/2020.1103.160

Hampannavar, M. R., Patil, B. R., Katageri, I. S., Aravinda Kumar, B. N. and Janagoudar, B. S. 2020. Genetic variability and correlation analysis for agronomic and fibre quality traits in intraspecific cotton (G. hirsutum × G. hirsutum) recombinant inbred lines (RILs). International Journal of Current Microbiology and Applied Sciences, 9(1): 493-503. https://doi.org/10.20546/ijcmas.2020.901.054

ICAR-AICRP (Cotton) Annual Report (2023-24) ICAR - All India Coordinated Research Project on Cotton, Nagpur. pp.1-4.

International Cotton Advisory Committee (ICAC) data portal; 2023-24 in the projection. http:/www.icac.org.

Johnson, H. W., Robinson, H. F. and Comstock, R.E. 1955. Estimates of genetic and environmental variability in soybean. Agronomy Journal, 47: 314-318. https://doi.org/10.2134/agronj1955.00021962004700070009x

Joshi, J. L., Murugan, M. and Muraleedharan, A. 2018. Study on genetic variability on quantitative traits of cotton (Gossypium sp. L.) genotypes. Journal of Emerging Technologies and Innovative Research, 7(3):772-776.

Kranthi, S., Kranthi, K. R., Rodge, C., Chawla, S. and Nehare, S. 2019. Insect resistance to insecticides and Bt cotton in India. In: Peshin, R and Dhawan, A. (eds.). Natural resource management: Ecological perspectives. Sustainability in plant and crop protection. Springer,Cham.pp.185-199. https://doi.org/10.1007/978-3-319-99768-1_11

Kumbhar, Z. M., Jatoi, W. A., Sootaher, J. K., Baloch, M. I., Gadahi, A. A., Menghwar, Changand, M. S. and Kachi, M. 2020. Studies on correlation and heritability estimates in upland cotton (Gossypium hirsutum L.) genotypes under the agro-climatic conditions of Tandojam, Sindh, Pakistan. Pure and Applied Biology, 9 (4): 2272- 2278. http://dx.doi.org/10.19045/bspab.2020.90241

Lokeshkumar, B.M. and Patil, B. R. 2018. Estimation of genetic variability parameters in F2 population of Gossypium hirsutum L. for yield, yield attributes and fiber quality traits. International Journal of Current Microbiology and Applied Sciences, 7(9): 360-367. https://doi.org/10.20546/ijcmas.2018.709.044

Lush, J.L. 1940, Intra-sire correlations or regressions of offspring on dam as a method of estimating heritability of characteristics. Journal of Animal Science, 8(1):293-301.

Manjula, S. M., Manjunath, N. H., Madhura, C., Illimar, A., Raj, B., Patil, S. B. and Patil, S. S. 2022. Spatio-temporal Cry1 Ac protein expression and bioassay studies of stabilized transgenic cotton events. In: World Cotton Research Conference-7, Book of papers. International Cotton Researchers Association, Washington DC. pp. 260-268.

Manjunath swamy, N.H. 2014. Confirmation and expression analysis of transgenic event for events for pest tolerance in cotton. MSc (Agri) Thesis, University of Agricultural Sciences, Dharwad.

Meena, A.K., Patil, S.S. and Verma, L.K. 2022. Genetic variability and heritability study in double cross F3 Lines of cotton (G. hirsutum L.). Biological Forum, 14 (1): 656-660.

Mohankumar, N. V. and Katageri, I. S. 2017. Genetic variability and heritability study in F2 population of Gossypium barbadense L. cotton for yield and its components. International Journal of Current Microbiology and Applied Sciences, 6(6): 975-983. https://doi.org/10.20546/ijcmas.2017.606.114

Monisha, K., Premalatha, N., Sakthivel, N. and Kumar, M. 2018. Genetic variability and correlation studies in upland cotton (Gossypium hirsutum. L). Electronic Journal of Plant Breeding, 9 (3): 1053 – 1059. https://doi.org/10.5958/0975-928X.2018.00131.X

Nachimuthu, V. V., Robin, S., Sudhakar, D., Raveendran, M., Rajeswari, S. and Manonmani, S. 2014. Evaluation of rice genetic diversity and variability in a population panel by principal component analysis. Indian Journal of Science and Technology, 7: 555-562. https://doi.org/10.17485/ijst/2014/v7i10.14 

Naik, V.C.B., Kumbhare, S., Kranthi, S., Satija, U. and Kranthi, K. R. 2018. Field-evolved resistance of pink bollworm, Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae), to transgenic Bacillus thuringiensis (Bt) cotton expressing crystal 1Ac (Cry1Ac) and Cry2Ab in India. Pest Management Science, 74: 2544–2554. https://doi.org/10.1002/ps.5038.

Package of Practices for Agriculture. 2020. Directorate of Extension, University of Agricultural Sciences, Dharwad. pp. 199-220.

Parmar, M. B., Patel, S. K., Patel, S. M., Patel, M. P.and Patel, A. D. 2015. Genetic studies on variability parameters, correlation and path coefficient analysis for yield components in G. hirsutum Bt-cotton hybrids. Trends in Biosciences,8(5):1186-1190.

Parre, S. and Patil, R. S. 2021. Correlation studies and path coefficient analysis of yield attributing traits among selected F2 populations of intra-hirsutum cotton hybrids under rain-fed situation. The Pharma Innovation Journal, 10(3): 942-950.

Patil, B. 2019. Event characterization of UASD Cry-1Ac Bt-Cotton Event-78. MSc. Thesis, University of Agricultural Sciences, Dharwad, (India).

Poorni, H. S., Jinks, J. L. and Cornish, M. A. 1977. The causes and consequences of non-normality in pretending the properties of recombinant inbred lines. Heredity, 38: 329-338.

Preetha, S. and Raveendren, T.S. 2008. Genetic appraisal of yield and fibre quality traits in Cotton using interspecific F2, F3 and F4 population. International Journal of Integrative Biology, 3(2):136-142.

Ravindrakumar, M., Laxmansingh, D.P., Ram Kishor, M., Prakashkumar, R. P., Jaishree, T. and Dhruv, P. J. 2022. Genetic variability studies of yield and its component traits in upland cotton. The Pharma Innovation Journal,11(5) :380-384.

Riaz, B., Saeed, A., Fiaz, S. and Riaz, A. 2019. Genetic diversity among Bt Cotton (Gossypium hirsutum L.) germplasm assessed through morphological and within-boll yield attributes. The Journal of Animal & Plant Sciences, 29(1): 226-231.

Robinson, H. F., Comstock, R. E. and Harvey, P. H. 1949. Estimates of heritability and degree of dominance in corn. Agronomy Journal, 41: 353-359. https://doi.org/10.2134/agronj1949.00021962004100080005x

Robson, D. S. 1956. Application of K4 statistics to genetic variance component analysis. Biometrics, 12: 433-444. https://doi.org/10.2307/3001682

Roy, U., Paloti, M.C., Tigga, A. and Patil, R. S. 2019. Genetic variability studies in the F2 populations of interspecific cotton (G. hirsutum L.X G. barbadense L.) hybrids. International Journal of Genetics,11(10): 660-663.

Sivasubramanian, S. and Madhav Menon, P. 1973. Genotypic and phenotypic variability in rice. Madras Agriculture Journal, 60 (9-12): 1093-1096.

Shailaja, D.S., Biradar, B.D., Katageri, I.S., Aravind Kumar, B.N. and Chandrashekhar, S.S. 2023. Genetic variability studies for yield and yield-related traits in the F2 population derived from the cross, Fuzzy-linted (FL) x Fuzzy-lintless (Fl) isogenic lines of G. herbaceum in cotton. The Pharma Innovation Journal, 12(10): 112-116.

Shilpa, N., Manjula, S, M., Lakshmi, G., Shreekanth, S.P. and Patil, S. B. 2023. Genetic variability studies for yield and yield-related traits in F2 populations based on UASD Bt Cotton Event No.78. Electronic Journal of Plant Breeding, 14(2): 608 – 615. https://doi.org/10.37992/2023.1402.075

Soomro, Z. A., Kumbhar, M.B., Larik, A.S., Imran, M. and Brohi, S.A. 2010. Heritability and selection response in segregating generations of upland cotton. Pakisthan Journal of Agricultural Reasearch, 23(1-2) 25-30.

Srour, M.S.M., Hager, M. A., Zaazaa, E.I. and El-Hashash, E. F. 2010. Genetic analysis for some yield and fiber quality traits using F2 and F3 populations in cotton. Journal of Plant Production,1 (12): 1593 – 1604. http://dx.doi.org/10.21608/jpp.2010.86603

Vekariya, R. D., Nimbal, S., Batheja, A., Jay Prakash., Patel, C. S. and Singh, A.G. 2017. Assessment of genetic parameters for seed cotton yield related traits and biochemical parameters in desi cotton (Gossypium arboreum L.). International Journal of Bio-resource and Stress Management,8(5):703-707.

Vrinda, J. and Patil, B.R. 2018. Genetic variability and heritability study in F2 population for yield, yield attributes and fibre quality traits in cotton (Gossypium hirsutum L.). Journal of Pharmacognosy and Phytochemistry, 7(4): 2816-2818.

Thirumala Rao, V., Sudarshanam, A., Ramprasad, B. and Aswini, D. 2021. Genetic variability and association studies in upland cotton (Gossipium hirsutum L.). The Pharma Innovation Journal,10 (9): 487-490.  


Download this article as Download

How to cite this article:

Pushpa M. Aralikatti, Manjula S. Maralappanavar, Basavaraj D. Biradar, Siddharuda B. Patil and Akbar, S. Md. 2025. Genetic Variability Studies for Seed Cotton Yield and Other Yield Attributes in the UASD Bt-78 Event Based F2 Population of Cotton (G. hirsutum L.).Int.J.Curr.Microbiol.App.Sci. 14(7): 201-213. doi: https://doi.org/10.20546/ijcmas.2025.1407.025
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

Citations