GENETIC DIVERSITY STUDIES FOR ECONOMICALLY IMPORTANT TRAITS IN RICE USING PRINCIPAL COMPONENT ANALYSIS
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Authors
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C. KIRAN KUMAR REDDY*and A. PRATAP KUMAR REDDY
Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Utukur- 516 003
Keywords:
Rice, genetic diversity, principal component analysisAbstract
Genetic diversity in rice using principal component analysis in 86 advanced breeding lines developed at
Agricultural Research Station, Utukur and 7 popularly grown varieties was studied. The analysis of variance revealed
significant differences for all the nine economically important yield traits measured. Use of principal component
analysis revealed nine components, out of which three components with eigen values greater than one (1) could
explain 57% of the variability.Based on the loading scores, characters viz., panicle weight, panicle length, number of
filled grains per panicle were found to be most contributing towards the construction of the first principal component.
Also, different entries viz., UTR 83-1, UTR 256 (high yield), UTR 258, UTR 209, UTR 202 (higher tiller number), UTR
224, UTR 253, UTR 257 (higher panicle weight), UTR 224, UTR 253, UTR 257 (higher panicle length), UTR 253, UTR
218, UTR 222 (lower test weight indicating fine grain nature) and UTR 224, UTR 253 and UTR 217 (higher filled
grains panicle-1) were identified.
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