CLASSIFICATION OF ELITE SORGHUM LINES BY PRINCIPAL COMPONENT ANALYSIS

Meenu Agarwal; Rameshwar Singh; P.K. Shrotria

Indian Journal of Agricultural Research

Chief EditorV. Geethalakshmi
Print ISSN 0367-8245
Online ISSN 0976-058X
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Indian Journal of Agricultural Research, volume 38 issue 1 (march 2004) : 55 - 59

CLASSIFICATION OF ELITE SORGHUM LINES BY PRINCIPAL COMPONENT ANALYSIS

Meenu Agarwal, Rameshwar Singh, P.K. Shrotria

Affiliations

¹Department of Genetics and Plant Breeding, G.B. Pant University of Agriculture and Technology, Pantnagar - 263 145, India

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Cite article:- Agarwal Meenu, Singh Rameshwar, Shrotria P.K. (2025). CLASSIFICATION OF ELITE SORGHUM LINES BY PRINCIPAL COMPONENT ANALYSIS. Indian Journal of Agricultural Research. 38(1): 55 - 59. doi: .

ABSTRACT

Forty one genotypes of sorghum (Sorghum bicolor (L.) Moench) consisting of tillering and non tillering types, were evaluated for classification using Principal Component Analysis. The genotypes were sown in randomized block design and observations were taken for days to 50% flowering, plant height. number of leaves per plant, leaf length, leaf width, total leaf area, number of nodes per plant, internodal length, stem diameter, T.S.S. %, shootfly infestation protein %, dry matter yield and green fodder yield. The fourteen principal components were extracted and cluster analysis was performed to classify the genotypes. As per the cluster analysis based on this principal component analysis the fortyone genotypes were grouped in five non-overlapping clusters. The spatial arrangement of clusters on the basis of mean principal component (PC) scores of each genotypes within each cluster, showed maximum distance between cluster number one and four. The bar diagram prepared on the basis of cluster mean for various characters indicated highest mean for green fodder yield in cluster one, whereas cluster one and two recorded highest dry matter yield. This provide convenient selection of superior clusters for various yield contributing and quality characters.

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REFERENCES

Beale, E.M.L. (1969). Euclidean cluster analysis contributed paper to the 37'h session of International Statistical Institute U.K.
Fisher, R.A. et al. (1963). Statistical Tables: Oliver and Boyd. Edinburgh.
Gomez, K.A. and Gomez, A.A. (1986). Statistical Procedures of Agricultural Research 2nd , John Wiley and Sons, New York 680 p.
Hotelling, H. (1933). J £du. Psych., 24: 417-441.
Jeffers, J.N.R. (1967). Appl. Stat., 16: 225-236.
Pearson, K. (1901). Philos. Mag., 2: 559-572.
Rao, c.R. (1964). Advanced Statistical Methods in Biometrics Research. Hafner Pub. Co. Darion, 348-371.
Sisodia et al. (1983). Madras Agric. J, 70(10): 678-680.
Spark, D.N. (1973) Appl. St'!.t., 22: 126-130

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[
beale_1969] Beale, E.M.L. (1969). Euclidean cluster analysis contributed paper to the 37'h session of International Statistical Institute U.K.

[2] Fisher, R.A. et al. (1963). Statistical Tables: Oliver and Boyd. Edinburgh.

[3] Gomez, K.A. and Gomez, A.A. (1986). Statistical Procedures of Agricultural Research 2nd , John Wiley and Sons, New York 680 p.

[4] Hotelling, H. (1933). J £du. Psych., 24: 417-441.

[5] Jeffers, J.N.R. (1967). Appl. Stat., 16: 225-236.

[6] Pearson, K. (1901). Philos. Mag., 2: 559-572.

[7] Rao, c.R. (1964). Advanced Statistical Methods in Biometrics Research. Hafner Pub. Co. Darion, 348-371.

[8] Sisodia et al. (1983). Madras Agric. J, 70(10): 678-680.

[9] Spark, D.N. (1973) Appl. St'!.t., 22: 126-130

CLASSIFICATION OF ELITE SORGHUM LINES BY PRINCIPAL COMPONENT ANALYSIS

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