Experimental and Biological Approaches for Genotype X Environment Interactions Estimation for Wheat Genotypes Evaluated Under Multi Locational Trials

Ajay Verma^*, Bhudev Singh Tyagi and Gyanendra Singh

ICAR- Indian Institute of Wheat and Barley Research, Karnal, Haryana, India Corresponding Author E-mail: verma.dwr@gmail.com

DOI : http://dx.doi.org/10.12944/CARJ.12.1.20

Abstract:

Genotypes VL907, HS562, HPW484 were ranked as topped three in comparison to the other during the evaluation of nine  wheat genotypes at major locations of the north hills zone of the country under rain fed conditions. The least values of AMMI stability measure (ASV) had expressed the desirability of  HPW484, HS562, VL2041 genotypes whereas the genotypes HS562, HPW484, VL2041 had been identified by least values of Modified Ammi Stability Value (MASV). The minimum value of simultaneous selection index  measure based on the MASV  (ssiMASV) had selected HS562, HPW484, VL2041 wheat genotypes while values of ssiWAASB measure found the suitability of HPW484, HS562, HS691 wheat genotypes. The composite non parametric measure NP_i ⁽²⁾ had favoured the VL892, HS562 genotypes and values of NP_i ⁽³⁾ measure had settled for VL892, HS562 genotypes while VL892, HPW349 wheat genotypes had been pointed by the last composite measure NP_i ⁽⁴⁾. The Ward’s method of Hierarchical Clustering had placed the VL907 genotype in a separate group as compared to others. The shorter rays of measures IPC2, IPC5, IPC3, SD had reflected the less contribution of the  joint effects of genotypes and measures in the biplot analysis. Non parametric composite measure NP_i ⁽¹⁾ had expressed tight direct relation with S_i^1,S_i^3,S_i^4,S_i^5,S_i^6,S_i⁷ values. The values of IPC6 & IPC4 had maintained the direct association with BLUP based analytic measures HMGV, RPGV, HMPRVG*Meanb, GAI, Meanb, RPGV*Meanb values. Moreover the values of CV measure had clustered with S_i^2, S_i^3, S_i^4,S_i^5, S_i⁷ measures of this study.

Keywords:

AMMI; Biplot analysis; BLUP; Hierarchical clustering; Non parametric measures

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