G × E interaction estimation for forage yield of dual purpose barley by Nonparametric measures
Author(s) -
Ajay Verma,
Jogendra Singh,
Vijay Kumar,
A.S. Kharab,
G. P. Singh
Publication year - 2018
Publication title -
indian journal of agricultural research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 8
eISSN - 0976-058X
pISSN - 0367-8245
DOI - 10.18805/ijare.a-4764
Subject(s) - nonparametric statistics , forage , mathematics , yield (engineering) , statistics , genotype , forensic science , veterinary medicine , microbiology and biotechnology , agronomy , biology , medicine , biochemistry , materials science , gene , metallurgy
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 and JB322. However RD2927 and RD2928 based on MR, UPB1054 and RD2035 based on SD and genotypes JB325 and 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.
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