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Correlation Studies for Yield Attributing Traits in Cauliflower (Brassica oleracea L. var. botrytis)

Author: Vivek Thapliyal, Lalit Bhatt, Dhirendra Singh, S.K. Maurya and N.K. Singh

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Abstract

For crop improvement, having access to varied parental lines is crucial. Yield being a complex and polygenic trait is influenced by number of component characters. Study on correlation between yield and its component characters may be helpful in making selection of superior genotypes. Thus, an attempt was made to estimate genotypic and phenotypic correlation by conducting experiment at Vegetable Research Centre, G.B. Pant University of Agriculture and Technology, Pantnagar, Udham Singh Nagar (U.K.) during 2019. 43 genotypes of cauliflower were grown in Randomized Block Design. The study was primarily focused on assessing correlation coefficient analysis. For each parameter, the genotypic correlation coefficient was greater than the matching phenotypic correlation coefficient. Curd yield per hectare was shown to be extremely positive and significantly correlated with marketable curd weight, net curd weight, number of leaves per plant, and gross plant weight according to estimates of phenotypic and genotypic correlation. Hence, selection for these traits may be feasible to enhance breeding programmes like hybridization and yield.

Keywords

Cauliflower, Genotypic correlation, Phenotypic correlation, curd yield

Conclusion

Curd production per hectare was shown to be extremely positive and significantly connected with marketable curd weight, net curd weight, curd diameter, number of leaves per plant, and gross plant weight, according to estimates of phenotypic and genotypic correlation. As a result, selection for these traits may be possible to increase yield. It is therefore possible to draw the conclusion that the genotypic and phenotypic correlation parameter could be taken into account for the formation of elite hybrids through heterosis breeding or for the establishment of inbred lines after pure line selection in subsequent generations.

References

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How to cite this article

Vivek Thapliyal, Lalit Bhatt, Dhirendra Singh, S.K. Maurya and N.K. Singh (2023). Correlation Studies for Yield Attributing Traits in Cauliflower (Brassica oleracea L. var. botrytis). Biological Forum – An International Journal, 15(3): 637-639.