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International Journal of Applied Agricultural & Horticultural Sciences
  • 26 April, 2024
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Language : English
DOI Prefix : 10.37322
P-ISSN : 0974-0775
E-ISSN : 2582-4198
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Vol. 8 (1) : January-February 2017 issue
Green Farming Vol. 8 (1) : 11-15 ; January-February, 2017
Principal component analysis of agro-morphological traits in RIL population of rice (Oryza sativa L.) grown in a irrigated lowland water regime
HEMANT SAHUa1*, RITU R. SAXENAa2, S.B. VERULKARb3 and VIKAS KUMARa4
aDepartment of Genetics & Plant Breeding, bDepartment of Plant Molecular Biology and Biotechnology, Indira Gandhi Krishi Vishwavidyalaya, Raipur - 492 012 (Chhattisgarh)
Designation :  
1,4Ph.D. Scholar *(hemant.sahupant@gmail.com), 2Assoc. Professor, 3HOD
Subject : Crop Genetics and Plant Breeding
Paper No. : P-4999
Total Pages : 5
Received : 29 March 2016
Revised accepted : 27 December 2016
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Citation :

HEMANT SAHU, RITU R. SAXENA, S.B. VERULKAR and VIKAS KUMAR. 2017. Principal component analysis of agro-morphological traits in RIL population of rice (Oryza sativa L.) grown in a irrigated lowland water regime. Green Farming  Vol. 8 (1) : 11-15  ;  January-February, 2017

ABSTRACT
The agro-morphological characterization of plant is the basic criteria in order to provide the fundamental information for plant breeding programme. The main objective of the present work was to characterize 71 lines of recombinant inbred lines (RIL) population of rice based on 12 quantitative agro-morphological characters. The experiment was set out in a Randomized complete-block design (RCBD) with two replications in kharif-2014. Agro-morphological characters were analyzed using Multivariate statistical analysis. Plant height and grain yield contributing maximum towards overall genetic variation. Six cluster groups were obtained from the 12 agro-morphological characters using multivariate analysis. In the current study, first 3 components explained 76.88 % of variability with eigen value >1. Component 1 had the contribution from the traits namely, days to 50% flowering, panicle length, flag leaf length and width second leaf length and width, length of last internode and biological yield, which accounted 43.77% of the total variability. Grain yield, harvest index and effective tillers has contributed 23.82% of total variability in component 2. The remaining variability of 9.3% was consolidated in component 3 by plant height. All two components have both phenological and yield related variables, whereas component three had only phonological trait. High levels of variability were expressed among the varieties and the characters studied which will allow further improvement in the varieties.
Key words :
Agro-morphology, Components, GCV, Eigen value, Multivariate, PCA, RIL, Variability, Yield attributes.