Path and Genetic Divergence Analysis of Mustard [Brassica juncea (L.) Czern & Coss.] Genotypes

Rishabh Gupta

Department of Genetics and Plant Breeding, Acharya Narendra Deva University of Agriculture and Technology Kumarganj, Ayodhya, Uttar Pradesh -(224229), India.

Ajeet Kumar Gupta

Department of Genetics and Plant Breeding, Acharya Narendra Deva University of Agriculture and Technology Kumarganj, Ayodhya, Uttar Pradesh -(224229), India.

Niharika Yaduvanshi

Department of Genetics and Plant Breeding, Chandra Shekhar Azad University of Agriculture and Technology Kanpur, Uttar Pradesh -(208002), India.

Aman Srivastava

Department of Genetics and Plant Breeding, Acharya Narendra Deva University of Agriculture and Technology Kumarganj, Ayodhya, Uttar Pradesh -(224229), India.

Jay Singh *

Department of Seed Science and Technology, Chandra Shekhar Azad University of Agriculture and Technology Kanpur, Uttar Pradesh -(208002), India.

S.C. Vimal

Department of Genetics and Plant Breeding, Acharya Narendra Deva University of Agriculture and Technology Kumarganj, Ayodhya, Uttar Pradesh -(224229), India.

Piyusha Singh

Department of Genetics and Plant Breeding, Acharya Narendra Deva University of Agriculture and Technology Kumarganj, Ayodhya, Uttar Pradesh -(224229), India.

*Author to whom correspondence should be addressed.


Abstract

The present investigation consisting of seeds of 72 genotypes with 3 check varieties (Varuna, Kranti, NDR-8501) were used for experimentation under Augmented Block Design in Indian mustard germplasm/genotypes was carried out during 2019-20 on the Student Instructional Farm Acharya Narendra Deva University of Agriculture & Technology Kumarganj Ayodhya (U.P.) India. The characters studies were Days to 50 % flowering, Days to maturity, Plant height (cm), Number of primary branches/plants, Number of secondary branches/plants, Length of main raceme (cm), Number of silique in main raceme, Number of seeds/siliquae, 1000-seed weight (g) and Seed yield/plant (g). The highest positive direct effect on seed yield per plant exhibited by 1000 seed weight (0.2512) followed by length of main raceme (0.2189), the highest positive indirect effect on seed yield per plant was exhibited length on main raceme (0.0477) via seed pre-silique fallowed by the number of siliquae on main raceme (0.0332) via secondary branches per plant. The maximum intra-cluster distance was estimated in case of Cluster VI (2.652) followed by cluster I (2.520), Cluster IV (2.352), cluster III (2.329), cluster VIII (2.148). The highest inter-cluster distance was observed between cluster IV and VI (4.417) followed by cluster III and VI (4.270), VI and VIII (4.251), cluster I and VII (4.156). The maximum cluster mean was found in cluster I (9.21) for seed yield per plant followed by cluster III (8.67) and cluster VII (8.50).

Keywords: Augmented, cluster, direct effect, germplasm


How to Cite

Gupta, R., Gupta, A. K., Yaduvanshi , N., Srivastava , A., Singh , J., Vimal , S., & Singh , P. (2024). Path and Genetic Divergence Analysis of Mustard [Brassica juncea (L.) Czern & Coss.] Genotypes. Journal of Experimental Agriculture International, 46(5), 406–412. https://doi.org/10.9734/jeai/2024/v46i52391

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References

Shrivastava A, Tripathi MK, Solanki RS, Tiwari S, Tripathi N, Singh J, Yadav RK. Genetic correlation and path coefficient analysis of yield attributing parameters in Indian mustard. Current Journal of Applied Science and Technology. 2023;42(7):42-58.

Chaudhary B, Lavanya GR, Yadav AP, Prajapati DK. Estimates of Genetic Variability, Correlation and Path Analysis in Indian Mustard [Brassica juncea (L.) Czern & Coss]. International Journal of Plant & Soil Science. 2023 Jul 27;35(18):1081-9.

Dewey DR. and Lu KH., A correlation and path-coefficient analysis of components of crested wheat grass seed production. Agron. Journal. Ed. Indian Council of Agric. Res., New Delhi. 1959;51:515-518.

Beale EMC. Euclidean cluster analysis, a paper contributed to 34th session of the International Statistics Institute; 1969.

Spark DN., Euclidean cluster analysis. Algorithm. As. 58. Appl. Stats. 1973;22: 126-130.

Shweta OP. Correlation and path co-efficient analysis of yield and yield components of Indian mustard [Brassica juncea (L.) Czern and Coss]. International Journal of Plant Sciences. 2014;9(2):428-430.

Ompal, Kerkhi SA, Chand P, Singh SK, Yadav SK. Study of correlation and path coefficient analysis in Indian mustard [B. juncea (L.) Czern & Coss]. Journal Pharmacognosy and Phytochemistry. 2018;7(6):890-894.

Gupta Mc, Roy HS. and Bhaduria SS., Genetic variability analysis in F2/F3 population derived Through inter-specific hybridization in oilseed Brassica Electronic Journal Plant Breeding. 2019;10(3):1275 - 1282.

Kumar R, Kaur S, Bala K, Kaur S, Sharma L., Assessment of genetic variability, correlation and path analysis for yield traits in f1 hybrids of Indian mustard. Agriways. 2019;7(2):1-7.

Singh S, Dwivedi AK, Ashutosh, Kumar O. and Kumar K., Genetic divergence analysis in Indian mustard (Brassica juncea L.) Int. J. Curr. Microbiol. App. Sci. 2018;7(6):2496-2503.

Meena HO, Meena PKP, Singh K, Meena HP, Meena D. Genetic divergence analysis in Indian mustard (Brassica juncea L.) Int. J. Curr. Microbiol. App. Sci. 2020;9(10):2185-21 92.

Singh S, Singh V, Singh KP, Tripathi RM, and Singh G., Genetic divergence analysis in wheat germplasms (Triticum aestivum L.). The Pharma Innovation Journal. 2021; 10(7):770-773.

Singh J., Correlation and Path Studies for Seed Yield and Its Attributing Traits in Indian Mustard [Brassica juncea (L.) Czern & Coss.] Int. J. Curr. Microbiol. App. Sci. 2020;9(9):620-626.