Multivariate analysis and character association studies for yield and nutritional characters in swarna and type 3 RIL population of rice (Oryza sativa L.)


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Authors

  • Darmagaru Shivani PhD scholar, PJTSAU
  • Cheruvuri Naga Neeraja IIRR
  • Chandragiri Cheralu PJTSAU
  • Vuppu Gouri Shankar PJTSAU

https://doi.org/10.25174/2582-2675/2021/113440

Keywords:

RIL population, Rice, Variability, Correlation, Path, PCA analysis, Yield and Nutritional traits

Abstract

The investigation was carried out in one hundred Swarna X Type 3
RIL population of rice to understand the association among yield,
yield attributing and nutritional traits. Their direct and indirect
effects on the grain yield using correlation and path analysis and the
principal component analysis was assessed using multivariate analysis.
Significant differences were observed among the RIL population for
the traits studied. High values of heritability and genetic advance
were observed for plant height, panicle weight, number of filled grains
per panicle, panicle weight, 1000-seed weight, grain yield per plant,
grain iron and zinc concentration. Character association for the yield
attributing traits at both genotypic and phenotypic level revealed
significant positive association of grain yield per plant with test weight
and plant height. Path coefficient analysis revealed that test weight
had highest direct positive effect on grain yield per plant followed
by plant height and filled grains per panicle. PCA showed that a
cumulative variance of 32.5% from PC1 attributed by grain iron, grain
zinc, plant height and test weight would be beneficial in contributing
to the total morphological diversity. RILs P45 and P57 have shown
higher grain yield per plant with high iron and zinc concentrations.
Thus, the trait test weight that showed positive and direct association
with grain yield can be focused in selection and can be utilized for
improvement in future breeding programmes.

Author Biographies

  • Darmagaru Shivani, PhD scholar, PJTSAU
    Genetics and Plant Breeding
  • Cheruvuri Naga Neeraja, IIRR
    Genetics and Plant Breeding
  • Chandragiri Cheralu, PJTSAU
    GPBR
  • Vuppu Gouri Shankar, PJTSAU
    GPBR

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Submitted

2021-08-02

Published

2021-09-05

Issue

Section

Research Article

How to Cite

Shivani, D., Neeraja, C. N., Cheralu, C., & Shankar, V. G. (2021). Multivariate analysis and character association studies for yield and nutritional characters in swarna and type 3 RIL population of rice (Oryza sativa L.). Journal of Cereal Research, 13(2). https://doi.org/10.25174/2582-2675/2021/113440