Studies on genetic parameters, correlation and path analysis for yield attributes and Iron content in a backcross population of rice [Oryza sativa (L.)]

  • M. Prasannakumari, M. Akilan, S. Kalaiselvan, A. Subramanian, P. Janaki and P. Jeyaprakash TNAU

Abstract

In any crop breeding program, the effective selection of traits that are associated with yield depends on the information on nature and magnitude of variation in the traits and its response to the environment. A study was conducted to determine the variability, heritability, correlation and path analysis of yield and yield components in BC1F2 generation of backcross combination, CO 51 × RPHP 48. The population was developed in order to introgress the high iron content in CO 51 background. The narrow difference between GCV and PCV indicates that there was a meagre influence of environment on the expression of 12 traits studied. Broad sense heritability was high for grain iron content and low for kernel length/breadth ratio. Grain yield was found to be significant and positively correlated with the number of productive tillers per plant, panicle weight, the number of grains per panicle and 100 seed weight indicating yield improvement can be achieved through improvement of these traits. The results of genotypic path analysis revealed that the number of productive tillers per plant and kernel length had a high positive direct effect which could be considered as good selection criteria for yield improvement.

Published
30-09-2020
How to Cite
M. Prasannakumari, M. Akilan, S. Kalaiselvan, A. Subramanian, P. Janaki and P. Jeyaprakash
Studies on genetic parameters, correlation and path analysis for yield attributes and Iron content in a backcross population of rice [Oryza sativa L.]. 2020. Electronic Journal of Plant Breeding, 11 03, 881-886. Retrieved from https://ejplantbreeding.org/index.php/EJPB/article/view/3647
Section
Research Article