GENETIC VARIABILITY AND CORRELATION STUDIES FOR SEED COTTON YIELD AND FIBRE QUALITY PARAMETERS IN DIVERSE COTTON GENOTYPES
1 / 1
Authors
-
CHEERLA PAVAN
Department of Genetics and Plant Breeding, Agricultural College, Bapatla-522101, Andhra Pradesh, India
-
RANI CHAPARA
Department of Genetics and Plant Breeding, Agricultural College, Bapatla-522101, Andhra Pradesh, India
-
M. SUDHA RANI
Department of Genetics and Plant Breeding, Agricultural College, Bapatla-522101, Andhra Pradesh, India
-
G. A. DIANA GRACE
Department of Genetics and Plant Breeding, Agricultural College, Bapatla-522101, Andhra Pradesh, India
-
M. JAMES
Department of Genetics and Plant Breeding, Agricultural College, Bapatla-522101, Andhra Pradesh, India
-
V. PRIYADHARSHINI
Department of Genetics and Plant Breeding, Agricultural College, Bapatla-522101, Andhra Pradesh, India
Keywords:
Cotton, Correlation, GCV, Genetic Advance, Heritability, PCVAbstract
An experiment was executed at RARS, Lam, Guntur during the kharif, 2024 to determine variability and correlation studies across 50 cotton genotypes, including three check varieties (NDLH 2051-1, Sivanandhi, and CICR 23 Bt) for 14 traits in an Augmented Block Design. ANOVA revealed significant differences among the 53 cotton genotypes for all the 14 traits, indicating substantial variability within the experimental material,that could be used for further crop improvement. Genotypic coefficient of variation and phenotypic coefficient of variation were high for number of monopodia per plant,boll weight and seed cotton yield per plant. High heritability coupled with high genetic advance was observed for plant height, number of monopodia per plant, number of bolls per plant, boll weight, lint index, seed index and seed cotton yield per plant rendering the probability of selecting genotypes for these characters which would behave with fidelity being the additive gene action in the inheritance of these attributes. Correlation study demonstrated a significant positive relationship between seed cotton yield per plant and plant height, number of bolls per plant, boll weight, seed index and lint index, indicating direct selection could be preferable for improving the seed cotton yield per plant.The genotypes LHBT 2203, LHBT 9, L 2278 and L 2281 were identified as the best performers for lint index, seed index and seed cotton yield per plant; while Suvin, CCB 29, L 2275, L 2385 and L 2268 for fibre quality traits.
References
All India Coordinated Research Project on Cotton-Annual Report 2024–25. Arunkumar, B and Murthy, S.M. 2020. Correlation and path coefficient analysis for seed cotton yield, yield attributing and fibre quality traits in cotton (Gossypium hirsutum L.). International Journal of Current Microbiology and Applied Sciences, 9(2): 200-207.
Chapara, R., Reddy, K.S., Rani, M.S and Sudhamani, K. 2024. Association and divergence studies for yield and its attributing traits in upland cotton. The Journal of Research ANGRAU, 52(1): 1-8
Chapara, R., Reddy, K.V., Rani, M.S., Lakshmi, B.S., Roja, V and Pranaya, J. 2022. Variability studies and genetic divergence in cotton (Gossypium hirsutum L.) germplasm using multivariate analysis. Electronic Journal of Plant Breeding, 13(4): 1305-1311.
Chaudhry, U.F., Khalid, M.N., Aziz, S., Amjad, I., Khalid, A., Noor, H and Sajid, H.B. 2022. Genetic studies in different F2 segregating population for yield and fiber quality traits in cotton (Gossypium hirsutum L.). Journal of Current Opinion in Crop Science. 3(3):135-151.
Gauswami Jyoti, J., Valu, M.G and Odedara Geeta, N. 2021. Correlation, path coefficient and D2 analysis study of seed cotton yield and fibre quality traits in American cotton (Gossypium hirsutum L.). Journal of Pharmacognosy and Phytochemistry. 10(3): 222-230.
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.
Gurmessa, D., Damtew, S., Balcha, M and Gebregziabher, A. 2022. Character association study and path analysis for fibre yield and its attributes in improved Ethiopian cotton (Gossypium hirsutum L.) varieties. Ethiopian Journal of Agricultural Sciences, 32(2): 119-132.
Harini, S.P., Premalatha, N., Subramanian, A., Boopathi, N.M and Guruswamy, K. 2025. Unveiling genetic variation in Egyptian cotton (Gossypium barbadense L.) germplasm: A combined approach of morphological characterization and multivariate analysis. Horizon. 12(1):110.
Keerthivarman, K., Subhashini, S., Madhu, B., Aravind, K., Ariharasutharsan, G and Akilan, M.2023. Assessment of genetic variability parameters for yield and fibrequality traits of cotton (Gossypium hirsutum L.) in F2 Population. International Journal of Agricultural Science, 8: 265-271.
Komala, M., Ganesan, N.M and Kumar, M. 2018. Genetic variability, heritability and correlation analysis in F2 populations of ratoon upland cotton hybrids. International Journal of Agriculture, Environment and Biotechnology, 11(6): 815-827.
Mawblei, C., Premalatha, N., Rajeswari, S and Manivannan, A. 2022. Genetic variability, correlation and path analysis of upland cotton (Gossypium hirsutum L.) germplasm for seed cotton yield. Electronic Journal of Plant Breeding, 13(3):820-825.
Sahar, A., Zafar, M.M., Razzaq, A., Manan, A., Haroon, M., Sajid, S., Rehman, A., Mo, H., Ashraf, M., Ren, M and Shakeel, A. 2021. Genetic variability for yield and fibre related traits in genetically modified cotton. Journal of Cotton Research, 4: 110.
Subalakhshmi,S.R.,Premalatha,N., Thirukumaran, K and Boopathi, N.M. 2022. Genetic variability studies for yield components and fibre quality traits in upland cotton (Gossypium hirsutum L.). Electronic Journal of Plant Breeding, 13: 991-999
Downloads
Submitted
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The author owns the article's copyright until the article is accepted for publication. After acceptance, the author(s) assigns the article's copyright jointly to both the authors and the Publishers of the Journal of Research ANGRAU (ANGRAU) and licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 International License.
