Non-parametric approach for multi-traits-based crop stability assessment inChina aster [Callistephus chinensis (L.) Nees]

Authors

DOI:

https://doi.org/10.24154/jhs.v20i2.4146

Keywords:

China aster, non-parametric stability index, principal component analysis, venugopalan index

Abstract

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.

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Author Biographies

  • R Venugopalan, ICAR-IIHR, Bengaluru 560089, Indian Institute of Horticultural Research

    Principal Scientist (Agril. Statistics), ICAR-IIHR

  • R KUMAR, ICAR-IIHR, Bengaluru 560089, Indian Institute of Horticultural Research

    Principal Scientist (Horticulture), Division of Flower and Medicinal Crops, ICAR-IIHR, Bengaluru 560089

  • SISIRA, ICAR-IIHR, Bengaluru 560089, Indian Institute of Horticultural Research

    Young Professional-II, Statistics Lab, ICAR-IIHR, Bengaluru

References

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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.

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Published

31-12-2025

Data Availability Statement

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Section

Research Papers

How to Cite

Venugopalan, R., KUMAR, R., & SISIRA. (2025). Non-parametric approach for multi-traits-based crop stability assessment inChina aster [Callistephus chinensis (L.) Nees]. Journal of Horticultural Sciences, 20(2). https://doi.org/10.24154/jhs.v20i2.4146

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