Journal of Environmental Biology

Characterization, evaluation and multivariate analysis of sunflower germplasm under semi-arid environments of three locations in  two sunflower growing states in India

 

M.Y. Dudhe¹*, A.B. Rajguru²,  K.D. Bhoite³, S.M. Kadam³, A.R.G. Ranganatha¹, M. Sujatha¹ and A.V. Reddy¹

¹Crop Improvement Section,  ICAR-Indian Institute of Oilseeds Research (IIOR), Rajendranangar, Hyderabad-500 030, India

²Zonal Agriculture Research Station (ZARS), Solapur-413 002,  India

³Agricultural Research Station (ARS), Savalvihir-423 109, India

*Corresponding Author E-mail: mangesh.dudhe@icar.gov.in

 

 

 

Key words

Biplot

Gene pool

Seed yield

Semi-arid environment

Sunflower

 

 

 

Publication Data

Paper received : 12.08.2017

Revised received : 11.01.2018

Re-revised received : 19.02.2018

Accepted : 26.02.2018

 

Abstract

Aim: The present study aimed at identifying high yielding genotypes through principal component analysis and cluster analysis by utilizing multilocation data generated by growing 32 germplasm accessions under semi-arid environments of Telangana and Maharashtra states.    

 

Methodology: The evaluation trial was conducted in two Indian states Telangana (Hyderabad) and Maharashtra (Solapur and Savalvihir). R software 3.1.3 package was used to determine the major descriptive statistics, cluster analysis, principal component analysis (PCA) and correlations among the yield contributing traits.  

 

Results: Wide range of genetic variation for seed yield and its components were recorded in the accessions studied. Principal component analysis disclosed that the first four components with eigen values greater than 0.43 contributed about 93.3% of total variability in the studied germplasm involving all the seven characters. The genotypes analysed were grouped into eleven clusters, out of which cluster IX was the largest having six genotypes indicating genetic similarity among them. Character association indicated that among the seven agro-morphological traits, five traits viz., days to flowering, days to maturity, head diameter, 100-seed weight and volume weight had significant and positive correlation with seed yield.       

 

Interpretation: Based on PCA and cluster analysis, eight accessions GMU189, GMU799, GP₂1217, GP₆271, GMU440, GP₆211, GP₆286 and DRSF113 were identified as high yielding which can be widely utilised for the development of new diverse varieties/ hybrids for enhanced seed yield under semi-arid conditions.

 

 

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