Augmentation of parametric with rank based measures for stable performance of Faba bean (Vicia faba) genotypes

Rajesh Kumar Arya; Gajraj Singh Dahiya; Vandana; Sunita Verma; Ajay Verma

doi:10.31783/elsr.2022.822130

Authors

Rajesh Kumar Arya Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, India
Gajraj Singh Dahiya Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, India
Vandana Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, India
Sunita Verma Department of Botany, Christ College Kanpur, Uttar Pradesh, India
Ajay Verma ICAR-Indian Institute of Wheat and Barley Research Karnal, India

DOI:

https://doi.org/10.31783/elsr.2022.822130

Keywords:

biplot, faba bean, genotypes, parametric

Abstract

Faba bean genotypes were evaluated under for long term experiments by parametric and rank based measures of stability at CCSHAU, Hisar during 2015-16 to 2019-20. Higher yielder HB14.32, HB14-18, HB14-14 genotypes were also selected by Geometric as well as by Harmonic means. Squared deviations from regression selected HB14-15, HB14-18, and HB14-31 genotypes. Shukla’s measure pointed for HB14-40, HB14-15, and HB14-16. Dynamic stability of Wricke ecovalence observed suitability of HB14-15, HB14-40, and HB14-07. Superiority measure P_i favoured the HB14.32, HB14-18 HB 14-14. Moreover higher R²_i values expressed by HB14-18, HB14-22, HB14-31 genotypes. Rank based S_i^s selected HB14-18, HB 14-15, HB14-40 genotypes, while genotypes HB14-15, HB14-40, HB14-36 HB 14-43 pointed by corrected rank based measures CS_i^s. Composite measures NP_i⁽¹⁾, NP_i⁽²⁾, NP_i⁽³⁾ and NP_i⁽⁴⁾ pointed for HB14-15, HB14-40, HB14-07 as genotypes for wide area cultivation. Biplot analysis found 68.3 % of the total variation accounted by First two PCA. Clustering pattern observed bigger group joined Z₂, W²_i, SDR, S²_di, and S_i¹, S_i², S_i³, S_i⁴, S_i⁵, S_i⁶, S_i⁷ other of S²_xi. Highly significant positive correlation with GAI, HM, bi, NP_i⁽²⁾, NP_i⁽³⁾, NP_i⁽⁴⁾ and negative notably with P_i, AvgR values. CS_i^s measures expressed strong positive with Sis and with σ²_i S²_xi W²_i R²_i parametric measures. Composite measures NP_i⁽¹⁾, NP_i⁽²⁾, NP_i⁽³⁾, NP_i⁽⁴⁾ also expressed strong positive with parametric measures σ²_i, S²_xi, W²_i, R²_i. Parametric and rank based measures would be augmented to make selection of genotypes.

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Augmentation of parametric with rank based measures for stable performance of Faba bean (Vicia faba) genotypes

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