Non-parametric approach for multi-traits-based crop stability assessment inChina aster [Callistephus chinensis (L.) Nees]
DOI:
https://doi.org/10.24154/jhs.v20i2.4146Keywords:
China aster, non-parametric stability index, principal component analysis, venugopalan indexAbstract
An attempt has been made to construct non-parametric stability index, based on 36 different China aster lines evaluated during 2021-2023. Individual trait based parametric stability measures revealed differential ranking of lines across characters. Results based on the combined non-parametric stability measures computed, line 15-41-3, followed by 15-41-1 and 15-41-16 were identified as stable across three years for all the traits evaluated (plant height (cm), plant spread (cm), number of branches per plant, flower diameter (cm), number of flowers per plant, stalk length (cm), and vase life (days). This research calls for constructing non-parametric index for assessing the stability of set of lines collectively based on various traits, evaluated over seasons/years in an experimental set up to have a realistic assessment in studies related crop varietal release.
Downloads
References
Nassar, R., & Huehn, M. (1987). Studies on estimation of phenotypic stability: Tests of significance for non-parametric measures of phenotypic stability. Biometrics, 43, 45–53. https://doi.org/10.2307/2531947
Raiger, H. L., & Prabhakaran, V. T. (2001). A study on the performance of few non-parametric stability measures. Indian Journal of Genetics, 61(1), 7–11.
Ravi, G. S., Venugopalan, R., Padmini, K., & Gowda, D. M. (2013). Nonparametric measures for assessing yield stability in cucumber. International Journal of Agricultural and Statistical Sciences, 9(1), 365–371.
Thennarasu, K. (1995). On certain non-parametric procedures for studying genotype–environment interactions and yield stability. Indian Journal of Genetics, 60, 433–439.
Venugopalan, R., Pitchaimuthu, M., & Chaithra, M. (2020). Non-parametric stability approach for horticultural crop varietal release. Journal of the Indian Society of Agricultural Statistics, 74(1), 73–80.
Venugopalan, R., & Veere Gowda, R. (2005). Stability analysis in onion: A statistical look. Journal of the Indian Society of Coastal Agricultural Research, 23(2), 123–129.
Venugopalan, R., & Pitchaimuthu, M. (2009). Statistical models for stability analysis in watermelon. Journal of Horticultural Sciences, 4(2), 153–157. https://doi.org/10.24154/jhs.v4i2.534
Venugopalan, R., & Madhavi Reddy, K. (2010). Stability analysis for fruit yield and attributing traits in chilli. Vegetable Science, 37(2), 141–145.
Downloads
Published
Data Availability Statement
None
Issue
Section
License
Copyright (c) 2025 R Venugopalan, R KUMAR, SISIRA (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors retain copyright. Articles published are made available as open access articles, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited. 
This journal permits and encourages authors to share their submitted versions (preprints), accepted versions (postprints) and/or published versions (publisher versions) freely under the CC BY-NC-SA 4.0 license while providing bibliographic details that credit, if applicable.



. 








