Genetic Dissection of Yield and Yield Contributing Traits Employing Descriptive Statistics and Character Association Analysis in Doubled Haploid Population of Maize (Zea mays L.)

Author: Noor E. Mujjassim, H.C. Lohithaswa, Kalmeshwer Gouda Patil, A. Mohan Rao, Sunil Kumar Biradar, Nataraj N. Karaba and N. Mallikarjuna

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Abstract

The present study was performed to understand the distribution pattern for seven yield related traits through the estimation of descriptive statistics and to perform correlation coefficient and path analysis in 273 doubled haploid lines developed from the cross PL#08× PL#15 in maize. Analysis of variance revealed mean squares attributable among and between the DHs and the checks were significant for all the traits. These results suggested significant differences among the maize doubled haploid lines. All the quantitative traits exhibited kurtosis value of less than three indicating platykurtic distribution of these traits are platykurtic. It indicated that genetic control of these traits was influenced by many genes, with the majority of them displaying complementary epistasis with increasing effects. Correlation studies revealed that Kernel weight per cob had a significant positive correlation with cob length, cob girth, kernel rows per cob (p<0.001) followed by plant height (p<0.01), and ear height (p<0.05). It indicated that kernel weight per cob can be increased by giving importance to these traits while formulating selection criteria in yield improvement programme.

Keywords

Maize, Doubled haploids, Correlation, Complementary epistasis, Platykurtic distribution

Conclusion

All the quantitative traits exhibited platykurtic distribution (< 3.0) which indicated the involvement of many genes, with the majority of them displaying complementary epistasis with increasing effects. Kernel weight per cob had a significant positive correlation with cob length, cob girth, kernel rows per cob followed by plant height and ear height. It indicated that kernel weight per cob can be increased through improvement in characters that showed positive and significant association.

References

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How to cite this article

Noor E. Mujjassim, H.C. Lohithaswa, Kalmeshwer Gouda Patil, A. Mohan Rao, Sunil Kumar Biradar, Nataraj N. Karaba and N. Mallikarjuna (2023). Genetic Dissection of Yield and Yield Contributing Traits Employing Descriptive Statistics and Character Association Analysis in Doubled Haploid Population of Maize (Zea mays L.). Biological Forum – An International Journal, 15(9): 374-378.