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G × E interaction estimation for forage yield of dual purpose barley by Nonparametric measures

DOI: 10.18805/IJARe.A-4764    | Article Id: A-4764 | Page : 643-648
Citation :- G × E interaction estimation for forage yield of dual purpose barley by Nonparametric measures.Indian Journal of Agricultural Research.2018.(52):643-648
Ajay Verma, J. Singh, V. Kumar, A.S. Kharab and G.P. Singh verma.dwr@gmail.com
Address : Statistics and Computer Center ICAR-Indian Institute of Wheat and Barley Research, Karnal-132 001, India.
Submitted Date : 8-04-2017
Accepted Date : 12-09-2018

Abstract

Nonparametric measures were utilized to estimate the genotype-environment interaction for seventeen dual purpose barley genotypes evaluated at 10 major barley growing locations of the country. Average forage yield identified higher yielder genotypes as RD2928, RD2927 and JB325 while descriptive statistics pointed out towards KB1420, RD2927 and KB1401& JB322. However RD2927& RD2928 based on MR, UPB1054 & RD2035 based on SD and genotypes JB325& RD2928 based on CV identified as the unstable genotypes. Nonparametric measures of stability based on corrected forage yield showed highly significant positive correlation among these measures. Most prominent relation was no significant positive or negative association of Si6 with corrected and uncorrected nonparametric measures. Ward’s method of clustering based on 21 nonparametric measures along with average forage yield, clustered the with higher to moderate yielding genotypes into group  comprised of RD29276, AZAD, UPB1053,  RD2552, BH1010 and  KB1401 genotypes.

Keywords

Hierarchical clustering Nonparametric measures Rank correlation.

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