Acta Scientific Agriculture (ASAG)(ISSN: 2581-365X)

Research Article Volume 6 Issue 2

Evaluation of Pigeonpea (Cajanus cajan (L.) Millsp.) Genetic Diversity Using Principal Component Analysis

Gopi Krishnan A1*, Pandiyan M2, Thilagam P1, Veeramani P1 and Nanthakumar S1

1Agricultural Research Station, Virinjipuram, Vellore District, Tamil Nadu, India
2Regional Research Station, Virudhachalam, Cuddallore District, TamilNadu, India

*Corresponding Author: Gopi Krishnan A, Agricultural Research Station, Virinjipuram, Vellore District, Tamil Nadu, India.

Received: December 06, 2021; Published: January 13, 2022

Abstract

A collection of 32 redgram genotypes were evaluated for nine morphological and phenological characters by principal component analysis for determining pattern of genetic diversity and relationship among individuals. The largest variation was observed for seed yield per plant with coefficient of variation of 74.01% followed by number of pods per plant (69.63), plant height (53.47) and number of branches (42.16). The least variation was observed in pod length with coefficient of variation of 10.60%. Principal component analysis was used to assess the variation and relative contribution of various traits towards total variability. In this study, principal component 1 had the contribution from the traits such as days to maturity, days to 50% flowering, plant height and 100 seed weight, number of branches, number of pods per plant and seed yield per plant which accounted to 34.54% of the total variability. The principal component 2 explained 26.82% of total variability from days to 50% flowering and days to maturity. Number of branches and plant height had contributed 16.03% of total variability in principal component 3. The principal component 4 explained 11.40% of total variability from the number of branches, number of seeds per pod, pod length, 100 seed weight and plant height. The cumulative variance of 88.80% of total variation among ten characters was explained by first four axes. Thus, the results of principal component analysis used in the study had revealed the high level of genetic variation and the traits controlling for the variation were identified. Hence, these entries can be utilized for trait improvement in breeding programs for the traits contributing for major variation. Correlation analysis revealed that number of pods per plant and plant height had significant and positive association with seed yield per plant and also exhibited significant positive inter correlation among them. Cluster analysis depicted two clusters and identified the groups of cultivars those were more closely related.

Keywords: Pigeonpea; Principal Component Analysis; Diversity

References

  1. Anonymous, Redgram Outlook Report- January to May 2021 Agriculture Market Intelligence Centre, ANGRAU, Lam (2021).
  2. “Descriptors for Pigeonpea [Cajanus cajan (L.) Millsp.]”. International Crops Research Institute for the Semi-Arid Tropics, Patancheru, India (1993).
  3. Roy D. “Plant Breeding: Analysis and Exploitation of Variation”. India Narosa Publishing House (2000).
  4. Hemavathy AT., et al. “Principal Component analysis in Pigeonpea (Cajanus cajan)”. Electronic Journal of Plant Breeding 8.4 (2017): 1133-1139.
  5. Manyasa EO., et al. “Variability patterns in Ugandan Pigeonpea landraces”. Journal of SAT Agricultural Research (2009): 7.
  6. Yan W and J Frégeau-Reid. “Genotype by Yield*Trait (GYT) Biplot: a Novel Approach for Genotype Selection based on Multiple Traits”. Scientific Reports 8 (2018): 8242.
  7. Sharifi PA Hossein and P Masoumeh. “Evaluation of variations in chickpea (Cicer arietinum) yield and yield components by multivariate technique”. Annals of Agricultural Sciences 16 (2018): 136-142.
  8. Rathinavel K. “Principal Component Analysis with Quantitative Traits in Extant Cotton Varieties (Gossypium hirsutum) and Parental Lines for Diversity”. Current Agriculture Research 06.1 (2018): 54-64.
  9. Bhavana P., et al. “Genetic diversity and principal component analysis for yield characters of Pigeonpea landraces of Eastern India”. International Journal of Chemical Studies SP6 (2019): 547-551.

Citation

Citation: Gopi Krishnan A., et al. Evaluation of Pigeonpea (Cajanus cajan (L.) Millsp.) Genetic Diversity Using Principal Component Analysis". Acta Scientific Agriculture 6.2 (2022): 22-30.

Copyright

Copyright: © 2022 Gopi Krishnan A., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate32%
Acceptance to publication20-30 days
Impact Factor1.014

Indexed In




News and Events


  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is July 10, 2022.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of “Best Article of the Issue”.
  • Welcoming Article Submission
    Acta Scientific delightfully welcomes active researchers for submission of articles towards the upcoming issue of respective journals.
  • Contact US