Non parametric measures to investigate genotype x environment interaction for feed barley genotypes evaluated under multi environment trials

In the present investigation g x e interaction of twenty seven feed barley genotypes were evaluated at fifteen locations by non parametric measures. Results based on nonparametric measures do not require distributional assumptions for testing of effects. JB322 was high yielder followed by PL890 &a...

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Main Authors: Ajay Verma, J. Singh, V. Kumar, A.S. Kharab and, G.P. Singh
Format: Article
Language:English
Published: Indian Society of Plant Breeders 2017-09-01
Series:Electronic Journal of Plant Breeding
Subjects:
Online Access:http://ejplantbreeding.org/index.php/EJPB/article/view/2035
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author Ajay Verma
J. Singh
V. Kumar
A.S. Kharab and
G.P. Singh
author_facet Ajay Verma
J. Singh
V. Kumar
A.S. Kharab and
G.P. Singh
author_sort Ajay Verma
collection DOAJ
description In the present investigation g x e interaction of twenty seven feed barley genotypes were evaluated at fifteen locations by non parametric measures. Results based on nonparametric measures do not require distributional assumptions for testing of effects. JB322 was high yielder followed by PL890 & HUB250 among studied genotypes. CMR and CSD measures pointed towards HUB113, NDB1634 and UPB1054, JB322 as desirable genotypes by respective measures. Si 1 and Si 2 measures identified JB322 and UPB1054 along with UPB1054 & HUB 113 as of stable yield performance. Values of the sum of Zi 1 and Zi 2 denoted significant differences among feed barley genotypes across 15 studied environments. Genotypes UPB1054, HUB113, BH1005 based on Si 3 and Si 6 were identified as the stable genotypes whereas KB1436 & RD2552 were unstable. First two NPs were very similar for unstable performance of RD2552 and last two NPs for similar behaviour of HUB250. Biplot analysis observed highly significant negative rank correlation of yield with corrected mean yield, SD and no significant correlation with MR.
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spelling doaj.art-40f9d3c334504618a19cd556115f671e2022-12-22T00:52:02ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2017-09-018384985610.5958/0975-928X.2017.00135.1Non parametric measures to investigate genotype x environment interaction for feed barley genotypes evaluated under multi environment trialsAjay VermaJ. SinghV. KumarA.S. Kharab andG.P. SinghIn the present investigation g x e interaction of twenty seven feed barley genotypes were evaluated at fifteen locations by non parametric measures. Results based on nonparametric measures do not require distributional assumptions for testing of effects. JB322 was high yielder followed by PL890 & HUB250 among studied genotypes. CMR and CSD measures pointed towards HUB113, NDB1634 and UPB1054, JB322 as desirable genotypes by respective measures. Si 1 and Si 2 measures identified JB322 and UPB1054 along with UPB1054 & HUB 113 as of stable yield performance. Values of the sum of Zi 1 and Zi 2 denoted significant differences among feed barley genotypes across 15 studied environments. Genotypes UPB1054, HUB113, BH1005 based on Si 3 and Si 6 were identified as the stable genotypes whereas KB1436 & RD2552 were unstable. First two NPs were very similar for unstable performance of RD2552 and last two NPs for similar behaviour of HUB250. Biplot analysis observed highly significant negative rank correlation of yield with corrected mean yield, SD and no significant correlation with MR.http://ejplantbreeding.org/index.php/EJPB/article/view/2035non-parametric measuresspearman rank correlationward’s hierarchical clusteringbiplot analysis
spellingShingle Ajay Verma
J. Singh
V. Kumar
A.S. Kharab and
G.P. Singh
Non parametric measures to investigate genotype x environment interaction for feed barley genotypes evaluated under multi environment trials
Electronic Journal of Plant Breeding
non-parametric measures
spearman rank correlation
ward’s hierarchical clustering
biplot analysis
title Non parametric measures to investigate genotype x environment interaction for feed barley genotypes evaluated under multi environment trials
title_full Non parametric measures to investigate genotype x environment interaction for feed barley genotypes evaluated under multi environment trials
title_fullStr Non parametric measures to investigate genotype x environment interaction for feed barley genotypes evaluated under multi environment trials
title_full_unstemmed Non parametric measures to investigate genotype x environment interaction for feed barley genotypes evaluated under multi environment trials
title_short Non parametric measures to investigate genotype x environment interaction for feed barley genotypes evaluated under multi environment trials
title_sort non parametric measures to investigate genotype x environment interaction for feed barley genotypes evaluated under multi environment trials
topic non-parametric measures
spearman rank correlation
ward’s hierarchical clustering
biplot analysis
url http://ejplantbreeding.org/index.php/EJPB/article/view/2035
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AT vkumar nonparametricmeasurestoinvestigategenotypexenvironmentinteractionforfeedbarleygenotypesevaluatedundermultienvironmenttrials
AT askharaband nonparametricmeasurestoinvestigategenotypexenvironmentinteractionforfeedbarleygenotypesevaluatedundermultienvironmenttrials
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