International Research Journal of Agricultural Economics and Statistics

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Interpreting Genotype X Environment by Non-Parametric Methods for Malt Barley Evaluated under North Western Plains Zone


Affiliations
1 Statistics and Computer Center, ICAR-Indian Institute of Wheat and Barley Research, Karnal (Haryana), India
     

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The present study was carried out to identify malt barley genotypes with high yield and stability across eight different environments, using non-parametric statistical measures. Descriptive statistics MR, SD and CV identified DWRB147, DWRB150 and RD2943 stable genotypes. BH902 and PL890 were identified as unstable genotypes by CMR CSD and CCV. Non-parametric measures selected DWRB147 and DWRB150 as the stable genotypes and BH902 and PL890 unstable genotypes. Significant tests for Si 1 and Si 2 were based on sum of Zi 1 and Zi 2 measures and sum of Zi 1 was greater than critical value confirmed significant differences among the twenty genotypes. Results of the NPi 2, NPi 3 and NPi 4were similar for unstable performance of BH902, DWRB150 and DWRB147. Biplot analysis of PCA1 and PCA2 accounting for 70.08 per cent showed three distinguish groups among non-parametric measures. Clustering by Ward’s hierarchical method expressed four clusters by using the squared Euclidean distance as dissimilarity measure.

Keywords

Non-Parametric Measurements, Rank Correlation, Biplot Analysis, Hierarchical Clustering.
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  • Interpreting Genotype X Environment by Non-Parametric Methods for Malt Barley Evaluated under North Western Plains Zone

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Authors

Ajay Verma
Statistics and Computer Center, ICAR-Indian Institute of Wheat and Barley Research, Karnal (Haryana), India
V. Kumar
Statistics and Computer Center, ICAR-Indian Institute of Wheat and Barley Research, Karnal (Haryana), India
A. S. Kharab
Statistics and Computer Center, ICAR-Indian Institute of Wheat and Barley Research, Karnal (Haryana), India
G. P. Singh
Statistics and Computer Center, ICAR-Indian Institute of Wheat and Barley Research, Karnal (Haryana), India

Abstract


The present study was carried out to identify malt barley genotypes with high yield and stability across eight different environments, using non-parametric statistical measures. Descriptive statistics MR, SD and CV identified DWRB147, DWRB150 and RD2943 stable genotypes. BH902 and PL890 were identified as unstable genotypes by CMR CSD and CCV. Non-parametric measures selected DWRB147 and DWRB150 as the stable genotypes and BH902 and PL890 unstable genotypes. Significant tests for Si 1 and Si 2 were based on sum of Zi 1 and Zi 2 measures and sum of Zi 1 was greater than critical value confirmed significant differences among the twenty genotypes. Results of the NPi 2, NPi 3 and NPi 4were similar for unstable performance of BH902, DWRB150 and DWRB147. Biplot analysis of PCA1 and PCA2 accounting for 70.08 per cent showed three distinguish groups among non-parametric measures. Clustering by Ward’s hierarchical method expressed four clusters by using the squared Euclidean distance as dissimilarity measure.

Keywords


Non-Parametric Measurements, Rank Correlation, Biplot Analysis, Hierarchical Clustering.

References