Trait Association Analysis for Yield and its Components in Indian Mustard (Brassica juncea L.)

Author: Raju Ram Choudhary*, Ram Avtar, Manjeet Singh, Harsh Chaurasia, Monu Kumari and Mukesh Poonia

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Abstract

Present study carried out with total sixty eight genotypes includes 50 hybrids, 10 mori CMS lines, five restores and three checks (RH-30, RH-0749 and DMH-1) of Indian mustard. These genotypes were evaluated for seed yield and its yield components for eleven characters during Rabi season of 2018-19 at Oilseeds Research Area, Chaudhary Charan Singh Haryana Agricultural University, Hisar. The results revealed that plant height, number of primary branches/plant, number of secondary branches/plant, main shoot length, number of siliquae on main shoot and number of seeds/siliquae have significant positive association with seed yield/plant. Genotypic correlation between number of siliquae on main shoot and seed yield per plant was found highest (0.704**) indicates direct selection based on number of siliquae on main shoot will be rewarding in selection of high seed yield genotypes. Path coefficient at genotypic level showed that number of secondary branches (0.448) and number of siliquae on m

Keywords

Path coefficient, correlation coefficient, seed yield, character association, Indian mustard.

Conclusion

Seed yield per plant was positively and significantly correlated with plant height, number of primary branches, number of secondary branches, main shoot length, number of siliquae on main shoot and number of seeds per siliqua at both genotypic and phenotypic levels. The strongest genotypic association between the number of siliquae on the main shoot and seed yield per plant (0.704**), indicating that indirect selection based on the number of siliquae on the main shoot will be beneficial in the selection of high seed yield genotypes. Other characters that have a significant positive association between yield and important yield components would be extremely effective and efficient in increasing their respective traits. Path coefficient analysis identified as the number of secondary branches per plant and number of siliquae on main shoot had the highest positive direct effects on seed yield/plant. Characters listed above as essential direct and indirect yield components in producing high

References

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How to cite this article

Raju Ram Choudhary, Ram Avtar, Manjeet Singh, Harsh Chaurasia, Monu Kumari and Mukesh Poonia (2022). Trait Association Analysis for Yield and its Components in Indian Mustard (Brassica juncea L.). Biological Forum – An International Journal, 14(1): 538-